Miniature Connected & Automated Vehicle Fleets

• Sensors: speed encoders, one-dimensional LiDAR, fish-eye camera
• Computing Unit: Raspberry Pi 4B with ROS2 (Robot Operating System 2)
• Auxiliary circuits: motor driver, PWM driver
• Perception: U-Net for semantic segmentation, and ellipse detection for traffic sign detection
• Control: FFFB (Feed-Forward-Feedback) controller
• V2V Communication: IEEE 802.11p (Wi-Fi)

Traffic sign detection and environment perception

Successfully demonstrated cooperative driving automation in a miniature fleet of connected and automated vehicles in highway and urban driving scenarios.

• 2nd place in International AUTOnomous vehicle TRAffic Challenge (called AUTOTRAC), held on June 17, 2021. AUTOTRAC is an internationally recognized competition funded by the European Commission under the Joint Research Centre's (JRC) Exploratory Research Program, aiming to raise awareness about the potential impact of automated vehicles' cooperation in future transport networks. The final event of the competition was held as part of the 7th International IEEE Conference on Models and Technologies for Intelligent Transportation Systems.
• People's Choice Award in the Student Poster Competition at the IEEE SusTech 2021 conference.

CE-CERT AUTOTRAC Team