Chen Lv
Nanyang Technological University
収録論文 71本 ・ フィジカルAI/ロボット学習
自動運転レーシング
※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
- 世界モデル中心の自動運転レーシングエージェントによる具現化知能の認知・物理限界への挑戦自動運転レーシング2026/8/11
自動運転レーシングを極限テストベッドとして、世界モデルを中心としたエージェントが認知と物理の限界を同時に探求する枠組みを提案し、実車データとシミュレーションで高い成功率を達成した。
- Toward the Cognitive--Physical Limits of Embodied Intelligence through a World-Model-Centric Autonomous Racing Agent2026/8/1
- Track-Guided Hierarchical Reinforcement Learning for Autonomous Vehicle Drifting with Minimum-Lap-Time Planning2026/8/1
- Ego-Dynamics-Augmented World Model for Autonomous Driving with Zero-Shot Cross-Chassis Adaptation2026/7/1
- SGTP: Sampling-based Game-Theoretic Planning for Real-Time Multi-Vehicle Autonomous Racing2026/7/1
- GeoWorldAD: Geometry World Action Model for Autonomous Driving2026/7/1
- A2RL V\textsubscript{max}: The A2RL autonomous racing dataset for long-range, high-speed perception and multi-vehicle interaction2026/7/1
- Goal2Pixel: Grounding Goals to Pixels for Vision-Language Navigation2026/6/1
- IntentNav: Learning Spatial-Visual Object Navigation from Human Demonstrations2026/6/1
- Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving2026/6/1
- Driver-WM: A Driver-Centric Traffic-Conditioned Latent World Model for In-Cabin Dynamics Rollout2026/5/1
- FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving2026/4/1
- Dual-Interaction-Aware Cooperative Control Strategy for Alleviating Mixed Traffic Congestion2026/3/1
- AutoMoT: A Unified Vision-Language-Action Model with Asynchronous Mixture-of-Transformers for End-to-End Autonomous Driving2026/3/1
- Expert Knowledge-driven Reinforcement Learning for Autonomous Racing via Trajectory Guidance and Dynamics Constraints2026/3/1
- SysNav: Multi-Level Systematic Cooperation Enables Real-World, Cross-Embodiment Object Navigation2026/3/1
- A Human-Oriented Cooperative Driving Approach: Integrating Driving Intention, State, and Conflict2025/12/1
- SparScene: Efficient Traffic Scene Representation via Sparse Graph Learning for Large-Scale Trajectory Generation2025/12/1
- COVLM-RL: Critical Object-Oriented Reasoning for Autonomous Driving Using VLM-Guided Reinforcement Learning2025/12/1
- MoTVLA: A Vision-Language-Action Model with Unified Fast-Slow Reasoning2025/10/1
- DecompGAIL: Learning Realistic Traffic Behaviors with Decomposed Multi-Agent Generative Adversarial Imitation Learning2025/10/1
- CoReVLA: A Dual-Stage End-to-End Autonomous Driving Framework for Long-Tail Scenarios via Collect-and-Refine2025/9/1
- Self-supervised Pretraining for Integrated Prediction and Planning of Automated Vehicles2025/7/1
- Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving2025/6/1
- Recasting Classical Motion Planning for Contact-Rich Manipulation2025/6/1
- C2TE: Coordinated Constrained Task Execution Design for Ordering-Flexible Multi-Vehicle Platoon Merging2025/6/1
- CL-CoTNav: Closed-Loop Hierarchical Chain-of-Thought for Zero-Shot Object-Goal Navigation with Vision-Language Models2025/4/1
- A Planning Framework for Stable Robust Multi-Contact Manipulation2025/4/1
- Concurrent-Allocation Task Execution for Multi-Robot Path-Crossing-Minimal Navigation in Obstacle Environments2025/4/1
- Interact, Instruct to Improve: A LLM-Driven Parallel Actor-Reasoner Framework for Enhancing Autonomous Vehicle Interactions2025/3/1
- Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles2024/12/1
- Path Planning in Complex Environments with Superquadrics and Voronoi-Based Orientation2024/11/1
- Planning for quasi-static manipulation tasks via an intrinsic haptic metric: a book insertion case study2024/11/1
- Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning2024/10/1
- Towards Interactive and Learnable Cooperative Driving Automation: a Large Language Model-Driven Decision-Making Framework2024/9/1
- Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving2024/9/1
- City-Wide Low-Altitude Urban Air Mobility: A Scalable Global Path Planning Approach via Risk-Aware Multi-Scale Cell Decomposition2024/8/1
- Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios2024/7/1
- Versatile Behavior Diffusion for Generalized Traffic Agent Simulation2024/4/1
- Hybrid-Prediction Integrated Planning for Autonomous Driving2024/2/1
- Ordering-Flexible Multi-Robot Coordination for MovingTarget Convoying Using Long-TermTask Execution2024/1/1
- Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving2024/1/1
- DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving2023/10/1
- Evolving Testing Scenario Generation Method and Intelligence Evaluation Framework for Automated Vehicles2023/6/1
- Occupancy Prediction-Guided Neural Planner for Autonomous Driving2023/5/1
- Milestones in Autonomous Driving and Intelligent Vehicles Part I: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviors2023/5/1
- Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys2023/3/1
- GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving2023/3/1
- Learning Interaction-aware Motion Prediction Model for Decision-making in Autonomous Driving2023/2/1
- Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation2023/1/1
- Conditional Predictive Behavior Planning with Inverse Reinforcement Learning for Human-like Autonomous Driving2022/12/1
- Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving2022/8/1
- Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving2022/7/1
- Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning2022/7/1
- ReCoAt: A Deep Learning-based Framework for Multi-Modal Motion Prediction in Autonomous Driving Application2022/7/1
- Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration2022/6/1
- Brain-Inspired Modelling and Decision-making for Human-Like Autonomous Driving in Mixed Traffic Environment2022/1/1
- Multi-modal Motion Prediction with Transformer-based Neural Network for Autonomous Driving2021/9/1
- Prioritized Experience-based Reinforcement Learning with Human Guidance for Autonomous Driving2021/9/1
- Graph and Recurrent Neural Network-based Vehicle Trajectory Prediction For Highway Driving2021/7/1
- Heterogeneous Edge-Enhanced Graph Attention Network For Multi-Agent Trajectory Prediction2021/6/1
- Uncertainty-Aware Model-Based Reinforcement Learning with Application to Autonomous Driving2021/6/1
- Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving2021/4/1
- Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving2021/3/1
- Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving2021/2/1
- ReCoG: A Deep Learning Framework with Heterogeneous Graph for Interaction-Aware Trajectory Prediction2020/12/1
- Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning2020/10/1
- Interaction-Aware Trajectory Prediction of Connected Vehicles using CNN-LSTM Networks2020/5/1
- Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach2020/5/1
- Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end Autonomous Driving with Scene Understanding2020/5/1
- An Integrated Framework of Decision Making and Motion Planning for Autonomous Vehicles Considering Social Behaviors2020/5/1