Kashyap Chitta
収録論文 24本 ・ フィジカルAI/ロボット学習
※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。
論文
- World Engine: Towards the Era of Post-Training for Autonomous Driving2026/6/1
- DriveJudge: Rethinking Autonomous Driving Evaluation with Vision-Language Models2026/6/1
- 123D: Unifying Multi-Modal Autonomous Driving Data at Scale2026/5/1
- Dynamics Distillation for Efficient and Transferable Control Learning2026/5/1
- LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving2025/12/1
- Latent Chain-of-Thought World Modeling for End-to-End Driving2025/12/1
- Agility Meets Stability: Versatile Humanoid Control with Heterogeneous Data2025/11/1
- ReSim: Reliable World Simulation for Autonomous Driving2025/6/1
- Pseudo-Simulation for Autonomous Driving2025/6/1
- CaRL: Learning Scalable Planning Policies with Simple Rewards2025/4/1
- Centaur: Robust End-to-End Autonomous Driving with Test-Time Training2025/3/1
- Hidden Biases of End-to-End Driving Datasets2024/12/1
- NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking2024/6/1
- SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic2024/3/1
- On Offline Evaluation of 3D Object Detection for Autonomous Driving2023/8/1
- End-to-end Autonomous Driving: Challenges and Frontiers2023/6/1
- Parting with Misconceptions about Learning-based Vehicle Motion Planning2023/6/1
- Hidden Biases of End-to-End Driving Models2023/6/1
- PlanT: Explainable Planning Transformers via Object-Level Representations2022/10/1
- TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving2022/5/1
- KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients2022/4/1
- NEAT: Neural Attention Fields for End-to-End Autonomous Driving2021/9/1
- Multi-Modal Fusion Transformer for End-to-End Autonomous Driving2021/4/1
- Label Efficient Visual Abstractions for Autonomous Driving2020/5/1