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Dockerfile (1241, 2019-02-04)
LICENSE (1075, 2019-02-04)
P9_Capstone_Project.pdf (72980, 2019-02-04)
data (0, 2019-02-04)
data\churchlot_with_cars.csv (1961, 2019-02-04)
data\grasshopper_calibration.yml (659, 2019-02-04)
data\maptf.launch (136, 2019-02-04)
data\sim_waypoints.csv (272679, 2019-02-04)
data\wp_yaw.txt (300881, 2019-02-04)
data\wp_yaw_const.csv (334641, 2019-02-04)
imgs (0, 2019-02-04)
imgs\autoware_computing.png (253134, 2019-02-04)
imgs\autoware_tf1.png (404590, 2019-02-04)
imgs\autoware_tf2.png (137945, 2019-02-04)
imgs\open_simulator.png (149817, 2019-02-04)
imgs\select_waypoint.png (561527, 2019-02-04)
imgs\unity.png (222015, 2019-02-04)
requirements.txt (155, 2019-02-04)
ros (0, 2019-02-04)
ros\.catkin_workspace (98, 2019-02-04)
ros\build (0, 2019-02-04)
ros\build\.built_by (11, 2019-02-04)
ros\build\CATKIN_IGNORE (0, 2019-02-04)
ros\build\CMakeCache.txt (38966, 2019-02-04)
ros\build\CMakeFiles (0, 2019-02-04)
ros\build\CMakeFiles\3.5.1 (0, 2019-02-04)
ros\build\CMakeFiles\3.5.1\CMakeCCompiler.cmake (2002, 2019-02-04)
ros\build\CMakeFiles\3.5.1\CMakeCXXCompiler.cmake (4556, 2019-02-04)
ros\build\CMakeFiles\3.5.1\CMakeDetermineCompilerABI_C.bin (8640, 2019-02-04)
ros\build\CMakeFiles\3.5.1\CMakeDetermineCompilerABI_CXX.bin (8656, 2019-02-04)
ros\build\CMakeFiles\3.5.1\CMakeSystem.cmake (398, 2019-02-04)
ros\build\CMakeFiles\3.5.1\CompilerIdC (0, 2019-02-04)
ros\build\CMakeFiles\3.5.1\CompilerIdC\CMakeCCompilerId.c (16423, 2019-02-04)
ros\build\CMakeFiles\3.5.1\CompilerIdC\a.out (8800, 2019-02-04)
ros\build\CMakeFiles\3.5.1\CompilerIdCXX (0, 2019-02-04)
ros\build\CMakeFiles\3.5.1\CompilerIdCXX\CMakeCXXCompilerId.cpp (16406, 2019-02-04)
ros\build\CMakeFiles\3.5.1\CompilerIdCXX\a.out (8808, 2019-02-04)
ros\build\CMakeFiles\CMakeDirectoryInformation.cmake (683, 2019-02-04)
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Programming a Real Self-Driving Car to run on a highway track. The track involves detecting and stopping at traffic lights, respecting speed limits, not exceeding limits of jerk. ### Usage 1. Install python dependencies ```bash cd CarND-Capstone pip install -r requirements.txt ``` 2. Make and run styx ```bash cd ros catkin_make source devel/setup.sh roslaunch launch/styx.launch ``` 3. Run the simulator ### Real world testing 1. Download [training bag](https://s3-us-west-1.amazonaws.com/udacity-selfdrivingcar/traffic_light_bag_file.zip) that was recorded on the Udacity self-driving car. 2. Unzip the file ```bash unzip traffic_light_bag_file.zip ``` 3. Play the bag file ```bash rosbag play -l traffic_light_bag_file/traffic_light_training.bag ``` 4. Launch your project in site mode ```bash cd CarND-Capstone/ros roslaunch launch/site.launch ``` 5. Confirm that traffic light detection works on real life images

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