RESEACH TALK - Autonomous Driving in Complex Environments
Comprehensive exploration of driving automation levels, sensor fusion architecture, multi-modal perception, and the LANCER research initiative.
SEMINAR - Reinforcement Learning for Vehicular Autonomy
Deep dive into machine learning paradigms, RL foundations (MDPs, value functions), algorithms (Q-Learning, PPO), and applications in autonomous driving.
API - Data Collection API
CARLA-based multi-modal sensor pipeline — RGB, depth, semantic segmentation, and LiDAR across configurable weather conditions.