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CooperScene: Multi-Modal Cooperative Autonomy Benchmark with C-V2X Communication Characterization
Bo Wu, Ruoshen Mo, Justin Yue +6
Cellular vehicle-to-everything (C-V2X) enables cooperative perception, prediction, and planning beyond the field of view of individual agents. However, existing datasets often over…
HeCoFuse: Cross-Modal Complementary V2X Cooperative Perception with Heterogeneous Sensors
Chuheng Wei, Ziye Qin, Walter Zimmer +2
Real-world Vehicle-to-Everything (V2X) cooperative perception systems often operate under heterogeneous sensor configurations due to cost constraints and deployment variability acr…
Integrating Multi-Modal Sensors: A Review of Fusion Techniques for Intelligent Vehicles
Chuheng Wei, Ziye Qin, Ziyan Zhang +2
Multi-sensor fusion plays a critical role in enhancing perception for autonomous driving, overcoming individual sensor limitations, and enabling comprehensive environmental underst…
PDB: Not All Drivers Are the Same -- A Personalized Dataset for Understanding Driving Behavior
Chuheng Wei, Ziye Qin, Siyan Li +7
Driving behavior is inherently personal, influenced by individual habits, decision-making styles, and physiological states. However, most existing datasets treat all drivers as hom…
Feature Corrective Transfer Learning: End-to-End Solutions to Object Detection in Non-Ideal Visual Conditions
Chuheng Wei, Guoyuan Wu, Matthew J. Barth
A significant challenge in the field of object detection lies in the system's performance under non-ideal imaging conditions, such as rain, fog, low illumination, or raw Bayer imag…