4 papers · 1 filter
CoInfra: A Large-Scale Cooperative Infrastructure Perception System and Dataset for Vehicle-Infrastructure Cooperation in Adverse Weather
Minghao Ning, Yufeng Yang, Keqi Shu +10
Vehicle-infrastructure (V2I) cooperative perception can substantially extend the range, coverage, and robustness of autonomous driving systems beyond the limits of onboard-only sen…
SAP-CoPE: Social-Aware Planning using Cooperative Pose Estimation with Infrastructure Sensor Nodes
Minghao Ning, Yufeng Yang, Shucheng Huang +5
Autonomous driving systems must operate smoothly in human-populated indoor environments, where challenges arise including limited perception and occlusions when relying only on onb…
DriveSOTIF: Advancing Perception SOTIF Through Multimodal Large Language Models
Shucheng Huang, Freda Shi, Chen Sun +6
Human drivers possess spatial and causal intelligence, enabling them to perceive driving scenarios, anticipate hazards, and react to dynamic environments. In contrast, autonomous v…
An Efficient Approach to Generate Safe Drivable Space by LiDAR-Camera-HDmap Fusion
Minghao Ning, Ahmad Reza Alghooneh, Chen Sun +5
In this paper, we propose an accurate and robust perception module for Autonomous Vehicles (AVs) for drivable space extraction. Perception is crucial in autonomous driving, where m…