20 citations · 76 across the 23 of their papers we have counts for
5 papers · 1 filter
Confidence-based federated distillation for vision-based lane-centering
Yitao Chen, Dawei Chen, Haoxin Wang +2
A fundamental challenge of autonomous driving is maintaining the vehicle in the center of the lane by adjusting the steering angle. Recent advances leverage deep neural networks to…
MDAR: Multi-View Multi-Scale Driver Action Recognition with Vision Transformer
Yunsheng Ma, Liangqi Yuan, Amr Abdelraouf +4
Ensuring traffic safety and preventing accidents is a critical goal in daily driving, where the advancement of computer vision technologies can be leveraged to achieve this goal. I…
CEMFormer: Learning to Predict Driver Intentions from In-Cabin and External Cameras via Spatial-Temporal Transformers
Yunsheng Ma, Wenqian Ye, Xu Cao +4
Driver intention prediction seeks to anticipate drivers' actions by analyzing their behaviors with respect to surrounding traffic environments. Existing approaches primarily focus…
Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study
Yongkang Liu, Ziran Wang, Kyungtae Han +3
With the rapid development of intelligent vehicles and Advanced Driver-Assistance Systems (ADAS), a new trend is that mixed levels of human driver engagements will be involved in t…
Sensor Fusion of Camera and Cloud Digital Twin Information for Intelligent Vehicles
Yongkang Liu, Ziran Wang, Kyungtae Han +3
With the rapid development of intelligent vehicles and Advanced Driving Assistance Systems (ADAS), a mixed level of human driver engagements is involved in the transportation syste…