Scholar
Chengkai Xu
Google Scholar ID: qv36apkAAAAJ
Tongji University
Autonomous Driving
Reinforcement Learning
Multi-modal Model
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
28
H-index
4
i10-index
0
Publications
10
Co-authors
0
Publications
12 items
A Survey on End-to-End Autonomous Driving Training from the Perspectives of Data, Strategy, and Platform
2026
Cited
0
DriveHierarchy: A Benchmark for Diagnosing VLM Driving Capabilities from Open-Loop Understanding to Closed-Loop Execution
2026
Cited
0
Evaluation as Evolution: Transforming Adversarial Diffusion into Closed-Loop Curricula for Autonomous Vehicles
2026
Cited
0
VP-AutoTest: A Virtual-Physical Fusion Autonomous Driving Testing Platform
2025
Cited
0
A Knowledge-Driven Diffusion Policy for End-to-End Autonomous Driving Based on Expert Routing
2025
Cited
0
Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity
2025
Cited
0
LeAD: The LLM Enhanced Planning System Converged with End-to-end Autonomous Driving
2025
Cited
0
Towards Emergency Scenarios: An Integrated Decision-making Framework of Multi-lane Platoon Reorganization
2025
Cited
0
Load more
