2 citations · 3 across the 12 of their papers we have counts for
4 papers · 1 filter
Passenger hazard perception based on EEG signals for highly automated driving vehicles
Ashton Yu Xuan Tan, Yingkai Yang, Xiaofei Zhang +9
Enhancing the safety of autonomous vehicles is crucial, especially given recent accidents involving automated systems. As passengers in these vehicles, humans' sensory perception a…
FREA: Feasibility-Guided Generation of Safety-Critical Scenarios with Reasonable Adversariality
Keyu Chen, Yuheng Lei, Hao Cheng +3
Generating safety-critical scenarios, which are essential yet difficult to collect at scale, offers an effective method to evaluate the robustness of autonomous vehicles (AVs). Exi…
SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation
Wenchao Sun, Xuewu Lin, Yining Shi +3
The well-established modular autonomous driving system is decoupled into different standalone tasks, e.g. perception, prediction and planning, suffering from information loss and e…
Neural Radiance Field in Autonomous Driving: A Survey
Lei He, Leheng Li, Wenchao Sun +5
Neural Radiance Field (NeRF) has garnered significant attention from both academia and industry due to its intrinsic advantages, particularly its implicit representation and novel…