This paper introduces a longitudinal control system for autonomous racing vehicles with combustion engines, translating trajectory-tracking commands into low-level vehicle controls like throttle, brake pressure, and gear selection. The modular design facilitates integration with various trajectory-tracking algorithms and vehicles. Experimental validation on the EAV24 racecar during the Abu Dhabi Autonomous Racing League at Yas Marina Circuit demonstrated the system's effectiveness, achieving longitudinal accelerations up to 25 m/s². Why it matters: This research contributes to the advancement of autonomous racing technology in the region, showcasing practical applications in high-performance scenarios and fostering innovation in vehicle control systems.
KAUST recently hosted the European Embedded Control Institute's International Graduate School on Control (IGSC). As part of the event, KAUST Professor Jeff Shamma gave a one-week course on "Game Theory and Distributed Control". The course had over 30 registered attendees, including participants from KAUST, KACST, King Saud University, and nine European universities. Why it matters: Hosting international events like IGSC enhances KAUST's global reputation, fosters collaboration opportunities, and exposes visiting researchers to KAUST's research environment.
Daniela Rus from MIT CSAIL discussed the role of AI in revolutionizing autonomous vehicles, emphasizing the need for risk evaluation, intent understanding, and adaptation to diverse driving styles. The talk highlighted integrating risk and behavior analysis in autonomous vehicle control systems. Social Value Orientation (SVO) can be incorporated into decision-making for self-driving vehicles. Why it matters: This research advances the development of safer and more adaptive autonomous vehicles, crucial for their successful deployment in diverse real-world driving scenarios within the GCC region and globally.