Watch the full recording of the Autonomous Vehicle Fundamentals and Simulation Workshop, where participants gain a comprehensive introduction to how self-driving vehicles operate—from perception to decision-making and control. This session walks through the core components of autonomous vehicle systems, including multimodal sensing, route and trajectory planning, and vehicle control strategies, while demonstrating how these elements work together in real-world scenarios.

Through guided instruction and hands-on demonstrations using the CARLA open-source simulator, participants explore how sensor data is processed and applied to simulate vehicle behavior in dynamic environments. The workshop also provides practical insight into setting up simulation environments and understanding the data streams that drive autonomous systems.

Designed for students, researchers, and transportation professionals alike, this session offers a strong foundation in autonomous driving technology and applied simulation, bridging theory with real-world application.