Learning Goal: I’m working on a python project and need the explanation and answer to help me learn.
For every student, please follow the following instructions regarding the final project.
Instructions:
Use Carla simulator to implement the following:
Lane Detection for Autonomous Driving Cars in the simulator:Choose the map you want to work on using the (init.py) file.
Using (lane_detection_carla_ADC) file, Implement the rendering part and generate pygame windows containing:Raw image
Semantic Segmentation image
Edge detection Image
Segmented lanes image
Improved segmented lanes image (using Dilation or any image processing technique)
Target point on segmented lanes image saved from the simulation run:In colab notebook, implement the target point on one image saved from lane detection simulation; use the segmented lane image (masked image).
File of (Target_point_on_image.ipynb) is uploaded to the final project folder
Implement the target point in the CARLA simulator:Use the (Target_point_CARLA.py) file to implement the (lanes_detection) function. And note that all functions used in the (lanes_detection) function are already implemented.
Generate the pygame window for the target point in CARLA.
You need to deliver the following:
.py file for lane detection in CARLA
.ipynb for target point on an image
.py file for target point in CARLA
(task 1) (task 2) (task 3)
(40%) (20%) (40%)
All implemented codes should be explained in comment in the code file.
The final project is worth 40% of the course weight. Submission is on Moodle.
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