Enhancing perception capabilities and advancing scientific paper preparation (July week 1)

Expected goals:

• Enhance the performance of perception models on sharp turns within Town01 and Town02 to achieve stable vehicle handling.
• Modify lane-map tuning parameters to skip intersections, allowing uninterrupted driving routes across several towns.
• Advance substantially in organizing and writing the core sections of the scientific paper.
• Streamline both training and inference routines in diverse urban setups using the SAC reinforcement learning algorithm.
• Persistent tuning of the YOLOP-driven lane detection framework to elevate testing accuracy in simulated environments.

More details in this link.