3 papers
cs.CV2026
RESOLVE: A Multi-Resolution and Multi-Modal Dataset for Roadside Cooperative Perception
Shaozu Ding, Linan Song, Marco De Vincenzi +1
LiDAR has increasingly been integrated into traffic cameras to expand coverage and mitigate occlusion in roadside cooperative perception. However, how unimodal and camera-LiDAR fus…
cs.CR2025
Vehicular Communication Security: Multi-Channel and Multi-Factor Authentication
Marco De Vincenzi, Shuyang Sun, Chen Bo Calvin Zhang +6
Secure and reliable communications are crucial for Intelligent Transportation Systems (ITSs), where Vehicle-to-Infrastructure (V2I) communication plays a key role in enabling mobil…
cs.RO2025
High and Low Resolution Tradeoffs in Roadside Multimodal Sensing
Shaozu Ding, Yihong Tang, Marco De Vincenzi +1
Balancing cost and performance is crucial when choosing high- versus low-resolution point-cloud roadside sensors. For example, LiDAR delivers dense point cloud, while 4D millimeter…