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1655 | giacomo | 1 | /* |
2 | * Project: S.Ha.R.K. |
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3 | * |
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4 | * Coordinators: |
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5 | * Giorgio Buttazzo <giorgio@sssup.it> |
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6 | * Paolo Gai <pj@gandalf.sssup.it> |
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7 | * |
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8 | * Authors : |
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9 | * Paolo Gai <pj@gandalf.sssup.it> |
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10 | * Massimiliano Giorgi <massy@gandalf.sssup.it> |
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11 | * Luca Abeni <luca@gandalf.sssup.it> |
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12 | * (see the web pages for full authors list) |
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13 | * |
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14 | * ReTiS Lab (Scuola Superiore S.Anna - Pisa - Italy) |
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15 | * |
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16 | * http://www.sssup.it |
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17 | * http://retis.sssup.it |
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18 | * http://shark.sssup.it |
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19 | */ |
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20 | |||
21 | |||
22 | /** |
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23 | ------------ |
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24 | CVS : $Id: sensor.c,v 1.1.1.1 2004-05-24 18:03:39 giacomo Exp $ |
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25 | |||
26 | File: $File$ |
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27 | Revision: $Revision: 1.1.1.1 $ |
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28 | Last update: $Date: 2004-05-24 18:03:39 $ |
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29 | ------------ |
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30 | **/ |
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31 | |||
32 | /* |
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33 | * Copyright (C) 2000 Marco Dallera and Marco Fiocca |
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34 | * |
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35 | * This program is free software; you can redistribute it and/or modify |
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36 | * it under the terms of the GNU General Public License as published by |
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37 | * the Free Software Foundation; either version 2 of the License, or |
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38 | * (at your option) any later version. |
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39 | * |
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40 | * This program is distributed in the hope that it will be useful, |
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41 | * but WITHOUT ANY WARRANTY; without even the implied warranty of |
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42 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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43 | * GNU General Public License for more details. |
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44 | * |
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45 | * You should have received a copy of the GNU General Public License |
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46 | * along with this program; if not, write to the Free Software |
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47 | * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA |
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48 | * |
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49 | */ |
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50 | |||
51 | /* |
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52 | * AUTO |
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53 | * |
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54 | * Another Unuseful Track simulatOr |
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55 | * |
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56 | * Authors: Marco Dallera |
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57 | * Marco Fiocca |
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58 | * |
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59 | */ |
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60 | |||
61 | /* ------------ */ |
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62 | /* Camera car */ |
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63 | /* ------------ */ |
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64 | |||
65 | #include "include/auto.h" |
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66 | #include "include/const.h" |
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67 | #include "include/utils.h" |
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68 | #include <drivers/glib.h> |
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69 | |||
70 | #define RADIUS 1 |
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71 | #define TOLL_FACTOR 4.0 |
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72 | #define MIN_DIFF 3 |
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73 | #define ROAD_COLOR 27 |
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74 | #define OFFROAD_COLOR 0 |
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75 | #define DEBUG_COLOR GREEN |
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76 | #define OUT_OF_TRACK 230 |
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77 | #define STRIP_DEFAULT TEL_WIDTH+1 |
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78 | |||
79 | extern sem_t grx_mutex; |
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80 | extern car_params cars[MAX_CAR_NUMBER]; |
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81 | |||
82 | void scanline(point_f *buffer, float x1, float y1, float x2, float y2, int factor); |
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83 | void get_camera_car(BYTE *buffer, car_status status); |
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84 | int find_track(BYTE *image, road_info *info); |
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85 | int find_opps(BYTE *image, road_info *info); |
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86 | void find_collision(BYTE *image, road_info *info, car_status status); |
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87 | |||
88 | /* ----------------------------------------------------------------- */ |
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89 | |||
90 | TASK sensor(int index) { |
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91 | car_status actual_car_status; // the actual car state |
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92 | road_info actual_road_info; // the actual road informations |
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93 | BYTE image[TEL_WIDTH*TEL_HEIGHT]; // buffer contenente la visione della telecamera ruotata |
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94 | |||
95 | point sq1, sq2; |
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96 | point im1, im2; |
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97 | |||
98 | CAB road_status_cab = cars[index].road_status_cab; |
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99 | CAB car_status_cab = cars[index].car_status_cab; |
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100 | |||
101 | // Draws display squares |
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102 | sq1.x = TRACK_X1 + TRACK_WIDTH + TEL_HEIGHT; |
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103 | sq1.y = TEL_HEIGHT*index + 1 + index; |
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104 | sq2.x = sq1.x + TEL_WIDTH + 1; |
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105 | sq2.y = sq1.y + TEL_HEIGHT + 1; |
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106 | |||
107 | // Sets viewer coords |
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108 | im1.x = sq1.x + 1; |
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109 | im1.y = sq1.y + 1; |
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110 | im2.x = im1.x + TEL_WIDTH - 1; |
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111 | im2.y = im1.y + TEL_HEIGHT - 1; |
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112 | |||
113 | // Inizializza il cab della strada |
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114 | actual_road_info.left_border = TEL_WIDTH/2; |
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115 | actual_road_info.right_border = TEL_WIDTH/2; |
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116 | actual_road_info.distance = TEL_HEIGHT; |
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117 | actual_road_info.curve = 0.0; |
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118 | actual_road_info.opps_number = 0; |
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119 | actual_road_info.flag = ROAD_OK; |
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120 | actual_road_info.collision = NO_COLL; |
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121 | set_road_info(actual_road_info, road_status_cab); |
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122 | |||
123 | task_endcycle(); |
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124 | |||
125 | while(1) { |
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126 | /* reads car informations */ |
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127 | actual_car_status = get_car_status(car_status_cab); |
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128 | |||
129 | /* implementazione riconoscimento strada (sti cazzi!!!) */ |
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130 | get_camera_car(image, actual_car_status); |
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131 | find_track(image, &actual_road_info); |
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132 | find_opps(image, &actual_road_info); |
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133 | find_collision(image, &actual_road_info, actual_car_status); |
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134 | |||
135 | sem_wait(&grx_mutex); |
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136 | grx_rect(sq1.x, sq1.y, sq2.x, sq2.y, cars[index].color); |
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137 | grx_putimage(im1.x, im1.y, im2.x, im2.y, image); |
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138 | sem_post(&grx_mutex); |
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139 | |||
140 | /* sends informations to control task */ |
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141 | set_road_info(actual_road_info, road_status_cab); |
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142 | task_endcycle(); |
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143 | } |
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144 | |||
145 | } |
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146 | |||
147 | /* ----------------------------------------------------------------- */ |
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148 | |||
149 | void find_collision(BYTE *image, road_info *info, car_status status) |
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150 | { |
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151 | point_f lt,rt,lb,rb,ct; |
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152 | /* the lines used to scan the quadrilate */ |
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153 | point_f height_line[CAR_HEIGHT]; |
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154 | int i; |
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155 | BYTE pix; |
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156 | |||
157 | info->collision = NO_COLL; |
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158 | |||
159 | ct.x = status.pos.x + (float)(CAR_HEIGHT/2 + 1) * cos(degree_to_rad(status.orient)); |
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160 | ct.y = status.pos.y - (float)(CAR_WIDTH/2 + 1) * sin(degree_to_rad(status.orient)); |
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161 | |||
162 | lb.x = ct.x - (float)(CAR_WIDTH/2.0) * cos(degree_to_rad(90-status.orient)); |
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163 | rb.x = ct.x + (float)(CAR_WIDTH/2.0) * cos(degree_to_rad(90-status.orient)); |
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164 | lt.x = lb.x - (float)(CAR_HEIGHT) * cos(degree_to_rad(status.orient)); |
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165 | rt.x = rb.x - (float)(CAR_HEIGHT) * cos(degree_to_rad(status.orient)); |
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166 | |||
167 | lb.y = ct.y - (float)(CAR_WIDTH/2.0) * sin(degree_to_rad(90-status.orient)); |
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168 | rb.y = ct.y + (float)(CAR_WIDTH/2.0) * sin(degree_to_rad(90-status.orient)); |
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169 | lt.y = lb.y + (float)(CAR_HEIGHT) * sin(degree_to_rad(status.orient)); |
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170 | rt.y = rb.y + (float)(CAR_HEIGHT) * sin(degree_to_rad(status.orient)); |
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171 | |||
172 | sem_wait(&grx_mutex); |
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173 | scanline(height_line,rb.x,rb.y,rt.x,rt.y,CAR_HEIGHT); |
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174 | for (i=0; i < CAR_HEIGHT; i++) { |
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175 | pix = grx_getpixel(round(height_line[i].x),round(height_line[i].y)); |
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176 | if (pix != OFFROAD_COLOR && pix != ROAD_COLOR) |
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177 | info->collision = COLLISION_RIGHT; |
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178 | } |
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179 | scanline(height_line,lb.x,lb.y,lt.x,lt.y,CAR_HEIGHT); |
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180 | for (i=0; i < CAR_HEIGHT; i++) { |
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181 | pix = grx_getpixel(round(height_line[i].x),round(height_line[i].y)); |
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182 | if (pix != OFFROAD_COLOR && pix != ROAD_COLOR) |
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183 | info->collision = COLLISION_LEFT; |
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184 | } |
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185 | sem_post(&grx_mutex); |
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186 | |||
187 | } |
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188 | |||
189 | /* ----------------------------------------------------------------- */ |
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190 | |||
191 | /* Puts in a buffer the image viewed from the camera according to the car status */ |
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192 | void get_camera_car(BYTE *buffer, car_status status) { |
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193 | /* |
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194 | * lt ------ rt |
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195 | * | | |
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196 | * | | |
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197 | * lb --ct-- rb |
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198 | */ |
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199 | point_f lt,rt,lb,rb,ct; |
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200 | /* the lines used to scan the quadrilate */ |
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201 | point_f width_line[TEL_WIDTH]; |
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202 | point_f height_line[TEL_HEIGHT]; |
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203 | int i,j; |
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204 | int tmpx,tmpy,tx,ty; |
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205 | float x,y; |
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206 | BYTE *row; |
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207 | |||
208 | ct.x = status.pos.x + (float)(CAR_WIDTH/2 + 1) * cos(degree_to_rad(status.orient)); |
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209 | ct.y = status.pos.y - (float)(CAR_WIDTH/2 + 1) * sin(degree_to_rad(status.orient)); |
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210 | |||
211 | /* for now the visual starts from the center of the car */ |
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212 | lb.x = ct.x - (float)(TEL_WIDTH/2.0) * cos(degree_to_rad(90-status.orient)); |
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213 | rb.x = ct.x + (float)(TEL_WIDTH/2.0) * cos(degree_to_rad(90-status.orient)); |
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214 | lt.x = lb.x + (float)(TEL_HEIGHT) * cos(degree_to_rad(status.orient)); |
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215 | rt.x = rb.x + (float)(TEL_HEIGHT) * cos(degree_to_rad(status.orient)); |
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216 | |||
217 | lb.y = ct.y - (float)(TEL_WIDTH/2.0) * sin(degree_to_rad(90-status.orient)); |
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218 | rb.y = ct.y + (float)(TEL_WIDTH/2.0) * sin(degree_to_rad(90-status.orient)); |
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219 | lt.y = lb.y - (float)(TEL_HEIGHT) * sin(degree_to_rad(status.orient)); |
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220 | rt.y = rb.y - (float)(TEL_HEIGHT) * sin(degree_to_rad(status.orient)); |
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221 | |||
222 | /* scan only 2 sense thanks to parallelism */ |
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223 | /* ^ <-(height) |
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224 | * ! lt |
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225 | * ! | |
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226 | * ! | |
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227 | * ! lb ------ rb ) |
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228 | * 0 -------------> <-(width |
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229 | */ |
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230 | /* the width_line coordinates are relative, so in the for cycle |
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231 | they are summarized to absolute height_line values */ |
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232 | scanline(width_line,0,0,rb.x - lb.x,rb.y - lb.y,TEL_WIDTH); |
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233 | scanline(height_line,lb.x,lb.y,lt.x,lt.y,TEL_HEIGHT); |
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234 | |||
235 | /* First fill row TEL_HEIGHT-1 of image and so on until row 0 */ |
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236 | sem_wait(&grx_mutex); |
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237 | for (i=0; i < TEL_HEIGHT; i++) { |
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238 | x = height_line[i].x; |
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239 | y = height_line[i].y; |
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240 | row = &buffer[TEL_WIDTH * (TEL_HEIGHT-1-i)]; |
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241 | for (j=0; j < TEL_WIDTH; j++) { |
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242 | tmpx = round(x + width_line[j].x); |
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243 | tmpy = round(y + width_line[j].y); |
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244 | |||
245 | // Test rispetto ai bordi |
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246 | if (tmpx >= 0 && tmpx < SCREEN_WIDTH && tmpy >= 0 && tmpy < SCREEN_HEIGHT) { |
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247 | tx = tmpx - TRACK_X1-1; |
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248 | ty = tmpy - TRACK_Y1-1; |
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249 | if (tx >= 0 && tx < TRACK_WIDTH && ty >= 0 && ty < TRACK_HEIGHT) |
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250 | row[j] = grx_getpixel(tmpx,tmpy); |
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251 | else |
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252 | row[j] = OUT_OF_TRACK; |
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253 | } else { |
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254 | row[j] = OUT_OF_TRACK; |
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255 | } |
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256 | } |
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257 | } |
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258 | sem_post(&grx_mutex); |
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259 | } |
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260 | |||
261 | /* ----------------------------------------------------------------- */ |
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262 | |||
263 | void scanline(point_f *buffer, float x1, float y1, float x2, float y2, int factor) { |
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264 | int i; |
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265 | float x,y; |
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266 | float xstep,ystep; |
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267 | |||
268 | xstep = (x2 - x1) / factor; |
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269 | ystep = (y2 - y1) / factor; |
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270 | |||
271 | // Start scan at <x1, y1> |
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272 | x = x1; |
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273 | y = y1; |
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274 | |||
275 | for (i = 0; i < factor; i++) { |
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276 | buffer[i].x = x; |
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277 | buffer[i].y = y; |
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278 | x += xstep; |
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279 | y += ystep; |
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280 | } |
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281 | } |
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282 | |||
283 | /* ----------------------------------------------------------------- */ |
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284 | |||
285 | /* |
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286 | * Approssima la curva quando non è più possibile farlo con la scansione |
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287 | * orizzontale |
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288 | * - image |
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289 | * - index l'indice da cui cominciare la ricerca della curva |
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290 | * - distance la distanza dalla curva |
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291 | */ |
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292 | float approx_curve(BYTE *image, int index, int distance, int d_center, road_strip *strips) { |
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293 | BYTE *p,tmp; |
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294 | int i,j,k,ctrl=0; |
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295 | point ms_center,ct; |
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296 | |||
297 | // Decide se la curva e' verso sinistra o verso destra |
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298 | p = &image[(TEL_HEIGHT - index - 1) * TEL_WIDTH]; |
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299 | |||
300 | ms_center.x = strips[index-1].left; |
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301 | for (i = 0; i < min(3,strips[index-1].left); i++) { |
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302 | // La curva è a destra |
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303 | tmp = *(p + round(ms_center.x) - i); |
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304 | if (tmp != ROAD_COLOR) { |
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305 | ms_center.x = strips[index-1].right; |
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306 | break; |
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307 | } |
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308 | } |
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309 | |||
310 | p += round(ms_center.x); |
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311 | // Scandisce la colonna fino alla fine della strada |
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312 | for (i = index; i < TEL_HEIGHT; i++, p -= TEL_WIDTH) { |
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313 | if (*p != ROAD_COLOR) break; |
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314 | } |
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315 | |||
316 | // Imposta il nuovo max_scost empirico |
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317 | ms_center.y = (i-1 + index) / 2; |
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318 | |||
319 | // i-1 è l'indice dell'ultima riga bianca |
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320 | p = &image[(TEL_HEIGHT - (i-1) - 1) * TEL_WIDTH + round(ms_center.x)]; |
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321 | // scandisce da destra a sinistra |
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322 | if (round(ms_center.x) > 0) { |
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323 | for (j = 0; j < (round(ms_center.x) - strips[index-1].left); j++, p--) { |
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324 | if (*p != ROAD_COLOR) break; |
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325 | // scandisce dall'alto in basso finchè non trova nero |
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326 | for (k = i-1; k > index; k--) { |
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327 | tmp = *(p + (i-1-k)*TEL_WIDTH); |
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328 | if (tmp != ROAD_COLOR) { |
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329 | ms_center.y = (k + index) / 2; |
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330 | ctrl = 1; |
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331 | break; |
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332 | } |
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333 | } |
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334 | if (ctrl) break; |
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335 | } |
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336 | ct.x = ms_center.x - j/2; |
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337 | ct.y = ms_center.y; |
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338 | } else { |
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339 | // scandisce da sinistra a destra |
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340 | for (j = 0; j < (strips[index-1].right - round(ms_center.x)); j++, p++) { |
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341 | if (*p != ROAD_COLOR) break; |
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342 | // scandisce dall'alto in basso finchè non trova nero |
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343 | for (k = i-1; k > index; k--) { |
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344 | tmp = *(p + (i-1-k)*TEL_WIDTH); |
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345 | if (tmp != ROAD_COLOR) { |
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346 | ms_center.y = (k + index) / 2; |
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347 | ctrl = 1; |
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348 | break; |
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349 | } |
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350 | } |
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351 | if (ctrl) break; |
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352 | } |
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353 | ct.x = ms_center.x + j/2; |
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354 | ct.y = ms_center.y; |
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355 | } |
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356 | |||
357 | return rad_to_degree(atan2((double)(ct.y - distance),(double)(ct.x - d_center))); |
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358 | } |
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359 | |||
360 | /* ----------------------------------------------------------------- */ |
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361 | |||
362 | int find_distance(road_strip *strips, int max_scost, int rett_tol) { |
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363 | int i, distance; |
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364 | int center_car = TEL_WIDTH/2; |
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365 | |||
366 | // La distanza non puo' essere maggiore del max_scost |
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367 | distance = max_scost; |
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368 | |||
369 | for (i=1; i < max_scost; i++) { |
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370 | // Calcola la distanza dalla curva |
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371 | if (abs(strips[i].center - center_car) > rett_tol) { |
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372 | distance = i; |
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373 | break; |
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374 | } |
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375 | } |
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376 | return distance; |
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377 | } |
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378 | |||
379 | /* ----------------------------------------------------------------- */ |
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380 | |||
381 | /* Scandisce la linea row e inserisce nella strip index le informazioni. |
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382 | * Ritorna 1 se trova entrambi i bordi, altrimenti 0 |
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383 | */ |
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384 | int scan_strip(BYTE *row, int index, road_strip *strips) { |
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385 | // Tiene conto della posizione dei bordi precedenti per trattare |
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386 | // meglio il caso di curve molto strette, dove possono esistere |
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387 | // 2 bordi destri o sinistri |
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388 | |||
389 | // Per evitare problemi nei casi in cui siano possibili 2 |
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390 | // bordi destri o sinistri |
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391 | int lfound = 0; |
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392 | int rfound = 0; |
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393 | int center_car = TEL_WIDTH/2; |
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394 | int i; |
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395 | |||
396 | // Parte dal secondo pixel e finisce al penultimo |
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397 | for(i=1; i < (TEL_WIDTH-1); i++) { |
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398 | // Se trova la strada controlla se si tratta di bordo |
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399 | // destro o sinistro |
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400 | if (row[i] == ROAD_COLOR) { |
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401 | // bordo sinistro |
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402 | if (row[i - 1] != ROAD_COLOR) { |
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403 | // Se ho già trovato questo tipo di bordo cerco |
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404 | // quello + plausibile ... |
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405 | if (lfound) { |
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406 | // Test sulla striscia precedente |
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407 | if (index > 0) { |
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408 | if (abs(i - strips[index-1].left) < |
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409 | abs(strips[index].left - strips[index-1].left)) |
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410 | strips[index].left = i; |
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411 | } else { |
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412 | // Test sul centro della macchina |
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413 | if (abs(i - center_car) < abs(strips[0].left - center_car)) |
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414 | strips[index].left = i; |
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415 | } |
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416 | lfound++; |
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417 | } else { |
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418 | // ... altrimenti lo inizializzo |
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419 | strips[index].left = i; |
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420 | lfound = 1; |
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421 | } |
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422 | // bordo destro |
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423 | } else if ((row[i + 1] != ROAD_COLOR) && lfound) { |
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424 | // Se ho già trovato questo tipo di bordo cerco |
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425 | // quello + plausibile ... |
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426 | if (rfound) { |
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427 | // Test sulla striscia precedente |
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428 | if (index > 0) { |
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429 | if (abs(i - strips[index-1].right) < |
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430 | abs(strips[index].right - strips[index-1].right)) |
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431 | strips[index].right = i; |
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432 | } else { |
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433 | // Test sul centro della macchina |
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434 | if (abs(i - center_car) < abs(strips[0].right - center_car)) |
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435 | strips[index].right = i; |
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436 | } |
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437 | rfound++; |
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438 | } else { |
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439 | // ... altrimenti lo inizializzo |
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440 | strips[index].right = i; |
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441 | rfound = 1; |
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442 | } |
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443 | } |
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444 | } |
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445 | } |
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446 | |||
447 | // Calcola il centro della strada se trova i bordi |
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448 | if (lfound && rfound) |
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449 | strips[index].center = (strips[index].left + strips[index].right) / 2; |
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450 | |||
451 | return (lfound && rfound); |
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452 | } |
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453 | |||
454 | /* ----------------------------------------------------------------- */ |
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455 | |||
456 | void where_am_i(BYTE *row, road_strip strip, road_info *info) { |
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457 | int i; |
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458 | int lfound = 0; |
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459 | int rfound = 0; |
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460 | int car_center = TEL_WIDTH/2; |
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461 | |||
462 | for(i=1; i < (TEL_WIDTH-1); i++) { |
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463 | // Se trova la strada controlla se si tratta di bordo |
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464 | // destro o sinistro |
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465 | if (row[i] == ROAD_COLOR) { |
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466 | // bordo sinistro |
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467 | if (row[i - 1] != ROAD_COLOR) { |
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468 | strip.left = i; |
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469 | lfound = 1; |
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470 | break; |
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471 | } else if (row[i + 1] != ROAD_COLOR) { |
||
472 | strip.right = i; |
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473 | rfound = 1; |
||
474 | break; |
||
475 | } |
||
476 | } |
||
477 | } |
||
478 | |||
479 | if (lfound && rfound) { |
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480 | info->flag = ROAD_OK; |
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481 | } |
||
482 | else if (lfound && !rfound) info->flag = LEFT_ONLY; |
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483 | else if (!lfound && rfound) info->flag = RIGHT_ONLY; |
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484 | else { |
||
485 | if (row[car_center] == OFFROAD_COLOR) info->flag = NO_ROAD; |
||
486 | else info->flag = ROAD_OK; |
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487 | } |
||
488 | info->left_border = car_center - strip.left; |
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489 | info->right_border = strip.right - car_center; |
||
490 | } |
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491 | |||
492 | /* ----------------------------------------------------------------- */ |
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493 | |||
494 | /* Analizza l'immagine vista dalla telecamera inserendo le informazioni |
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495 | * necessarie in info, ovvero la distanza dai bordi destro e sinistro, |
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496 | * la distanza dalla prossima curva e il suo angolo di curvatura. |
||
497 | * Per il momento ritorna -1 se non riesce a trovare entrambi i bordi della |
||
498 | * strada; in futuro gestiremo anche questa situazione. |
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499 | */ |
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500 | int find_track(BYTE *image, road_info *info) { |
||
501 | // vettore contenente le informazioni su ogni striscia |
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502 | road_strip strips[TEL_HEIGHT]; |
||
503 | BYTE *row; |
||
504 | int car_center = TEL_WIDTH/2; |
||
505 | int max_scost=0; |
||
506 | int once_scost=0; |
||
507 | int j, rett_tol=0; |
||
508 | |||
509 | info->flag = ROAD_OK; |
||
510 | |||
511 | strips[0].left = STRIP_DEFAULT; |
||
512 | strips[0].right = STRIP_DEFAULT; |
||
513 | /* Tratta in modo personalizzato il primo tratto di strada per |
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514 | inizializzare alcune variabili e per capire situazioni particolari */ |
||
515 | row = &image[(TEL_HEIGHT - 1)*TEL_WIDTH]; |
||
516 | // Se trova i bordi ... |
||
517 | if (scan_strip(row,0,strips)) { |
||
518 | // ... calcola i bordi della strada e ... |
||
519 | info->left_border = car_center - strips[0].left; |
||
520 | info->right_border = strips[0].right - car_center; |
||
521 | // ... inizializza la tolleranza per il rettilineo. |
||
522 | rett_tol = (strips[0].right - strips[0].left) / TOLL_FACTOR; |
||
523 | } else { |
||
524 | // Se non trova il bordo ... |
||
525 | // Mi sono perso, cercami la strada |
||
526 | where_am_i(row,strips[0],info); |
||
527 | return 1; |
||
528 | } |
||
529 | |||
530 | /* Ora controlla le altre strisce della strada */ |
||
531 | |||
532 | for(j=1; j < TEL_HEIGHT ; j++) { |
||
533 | row = &image[(TEL_HEIGHT - j - 1)*TEL_WIDTH]; |
||
534 | // Se trova i bordi ... |
||
535 | if (scan_strip(row, j, strips)) { |
||
536 | // ... aggiorna l'indice di max scostamento. |
||
537 | if (abs(strips[j].center - car_center) > |
||
538 | abs(strips[max_scost].center - car_center) |
||
539 | && abs(strips[j].center - car_center) > rett_tol) { |
||
540 | |||
541 | max_scost = j; |
||
542 | once_scost=1; // ha trovato almeno un max scost |
||
543 | } |
||
544 | } else { |
||
545 | // Se max_scost non è mai stato settato, prendo il max |
||
546 | if (!once_scost) { |
||
547 | max_scost = j-1; |
||
548 | once_scost = 1; |
||
549 | } |
||
550 | |||
551 | // se la distanza e il max_scost sono troppo vicini approssima la curva |
||
552 | info->distance = find_distance(strips, max_scost, rett_tol); |
||
553 | if ((max_scost - info->distance) < MIN_DIFF) { |
||
554 | info->curve = approx_curve(image, j, info->distance, |
||
555 | strips[info->distance].center,strips) - 90.0; |
||
556 | return 1; |
||
557 | } |
||
558 | break; |
||
559 | } |
||
560 | } |
||
561 | |||
562 | // Se max_scost non è mai stato settato, prendo il max |
||
563 | if (!once_scost) max_scost = TEL_HEIGHT-1; |
||
564 | max_scost = min(max_scost,TEL_HEIGHT-1); |
||
565 | |||
566 | info->distance = find_distance(strips,max_scost,rett_tol); |
||
567 | |||
568 | // calcola l'angolo di curvatura solo se il conto e' attendibile |
||
569 | if ((info->distance < (TEL_HEIGHT*0.9)) && |
||
570 | ((max_scost - info->distance) >= MIN_DIFF)) |
||
571 | info->curve = rad_to_degree(atan2((double)(max_scost - info->distance), |
||
572 | (double)(strips[max_scost].center - strips[info->distance].center))); |
||
573 | else { |
||
574 | // se i conti sono empirici, si guarda la posizione dei due centri |
||
575 | if (strips[max_scost].center > strips[info->distance].center) |
||
576 | info->curve = 88.0; |
||
577 | else if (strips[max_scost].center < strips[info->distance].center) |
||
578 | info->curve = 92.0; |
||
579 | else |
||
580 | info->curve = 90.0; |
||
581 | } |
||
582 | info->curve -= 90.0; |
||
583 | return 0; |
||
584 | } |
||
585 | |||
586 | /* ----------------------------------------------------------------- */ |
||
587 | |||
588 | int find_opps(BYTE *image, road_info *info) |
||
589 | { |
||
590 | int i, j; |
||
591 | int l_limit, r_limit; // the opposite empiric limits |
||
592 | BYTE *row; |
||
593 | int car_center = TEL_WIDTH/2; |
||
594 | int opps_number = 0; |
||
595 | |||
596 | // by default it needs to scan the entire row |
||
597 | l_limit = TEL_WIDTH - 1; |
||
598 | r_limit = 0; |
||
599 | |||
600 | // Scans one row at a time |
||
601 | for(j=1; j<TEL_HEIGHT; j++) { |
||
602 | row = &image[(TEL_HEIGHT - j - 1) * TEL_WIDTH]; |
||
603 | |||
604 | // if some of the previous row has been identified as a car... |
||
605 | if (opps_number > 0 && |
||
606 | j < (info->opps_list[opps_number - 1].y + CAR_HEIGHT + 1)) { |
||
607 | // excludes CAR_HEIGHT lines from the bottom if the car |
||
608 | l_limit = (car_center + info->opps_list[opps_number - 1].x) - CAR_WIDTH; |
||
609 | r_limit = (car_center + info->opps_list[opps_number - 1].x) + CAR_WIDTH; |
||
610 | } |
||
611 | else { |
||
612 | // it needs to scan the entire row |
||
613 | l_limit = TEL_WIDTH - 1; |
||
614 | r_limit = 0; |
||
615 | } |
||
616 | |||
617 | // Scans the current row |
||
618 | for (i=0; i<TEL_WIDTH; i++) { |
||
619 | if( (i < l_limit || i > r_limit) && |
||
620 | row[i] != ROAD_COLOR && row[i] != OFFROAD_COLOR && |
||
621 | row[i] != DEBUG_COLOR && row[i] != OUT_OF_TRACK) { |
||
622 | // there is an opponent car!! |
||
623 | // stores its position |
||
624 | info->opps_list[opps_number].x = i - car_center; // left -, right + |
||
625 | info->opps_list[opps_number].y = j; |
||
626 | |||
627 | // increases number of opposites car in the sensor view range |
||
628 | opps_number++; |
||
629 | } |
||
630 | } |
||
631 | } |
||
632 | |||
633 | info->opps_number = opps_number; |
||
634 | |||
635 | return 0; |
||
636 | } |
||
637 | |||
638 | |||
639 | |||
640 | |||
641 | |||
642 | |||
643 | |||
644 | |||
645 | |||
646 | |||
647 | |||
648 | |||
649 | |||
650 |