Dr Xiaomeng Li secured $472,597 for the project “VisionSync: AI-Driven Sensor Fusion for Enhanced Driver Awareness and Safety” in collaboration with Prof Sebastien Glaser, Prof Ronald Schroeter, and Dr Jorge Pardo.
Dr Li said the project aimed to revolutionise road safety by developing an advanced system leveraging the existing sensors equipped on modern vehicles.
“By combining cutting-edge technologies such as camera-based object detection, LiDAR/radar positioning, and eye-tracking, this project will develop a unified platform that tracks a driver’s focus in the external environment and identifies potential hazards in real time.
“With these integrated technologies, the system will proactively manage drivers’ situation awareness and alert them to risks helping prevent crashes caused by distraction or inattention.
“We will develop and test a system prototype in actual vehicles to ensure it performs reliably in everyday driving conditions and then conduct extensive on-road testing to validate the system’s accuracy and effectiveness with the ultimate goal of bringing it closer to commercial use.”
