2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.RO2025
PIE: Perception and Interaction Enhanced End-to-End Motion Planning for Autonomous Driving
Chengran Yuan, Zijian Lu, Zhanqi Zhang +8
End-to-end motion planning is promising for simplifying complex autonomous driving pipelines. However, challenges such as scene understanding and effective prediction for decision-…
cs.CV2025
DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models
Xunjie He, Christina Dao Wen Lee, Meiling Wang +4
Collaborative perception plays a crucial role in enhancing environmental understanding by expanding the perceptual range and improving robustness against sensor failures, which pri…
cs.RO2024★ 2 cited
DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving with Mamba
Chengran Yuan, Zhanqi Zhang, Jiawei Sun +8
Motion planning is a challenging task to generate safe and feasible trajectories in highly dynamic and complex environments, forming a core capability for autonomous vehicles. In t…