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Xinshuo Weng
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Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning
Promptable Closed-loop Traffic Simulation
PARA-Drive: Parallelized Architecture for Real-time Autonomous Driving
Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
Language-Image Models with 3D Understanding
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
Language Conditioned Traffic Generation
Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps
Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles
Tree-structured Policy Planning with Learned Behavior Models
Robust Trajectory Prediction against Adversarial Attacks
Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-Based Prediction
MTP: Multi-Hypothesis Tracking and Prediction for Reduced Error Propagation
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