This part houses my master's thesis' associated methodology:
A comprehensive guide to modeling the KITTI LiDAR sensor with AVX. Explore readme for details.
This section focuses on the co-simulation framework, combining physics-based LiDAR modeling with vehicle dynamics simulation. Dive into readme to understand more.
Discussion around LiDAR point cloud, contribution output, and CarMaker output quantities. For processing and exploring these outputs, check out readme
Handling the output point cloud data to generate the ground truth labels needed for neural network training. See readme for more information.
Python scripts used to organize and scale up simulated scenarios. See readme for more information.