autonomous-driving

Documents about autonomous-driving

• Not All History Helps: Velocity-Aware Selective Memory for Long-Horizon End-to-End Autonomous Driving#616229arXiv (OAI Expanded)
• Not All History Helps: Velocity-Aware Selective Memory for Long-Horizon End-to-End Autonomous Driving#616729arXiv (All)
• AdROD: HyperNetwork-based Adversarially Robust Object Detection for Autonomous Driving#617204arXiv (OAI Expanded)
• AdROD: HyperNetwork-based Adversarially Robust Object Detection for Autonomous Driving#617704arXiv (All)
• Multi-Modal Traffic Sign Detection with Semantic Attributes for Autonomous Driving#661016arXiv (OAI Expanded)
• Multi-Modal Traffic Sign Detection with Semantic Attributes for Autonomous Driving#662066arXiv (All)
• SimWAM: A Simple World Action Model for End-to-End Autonomous Driving#674519arXiv (OAI Expanded)
• SimWAM: A Simple World Action Model for End-to-End Autonomous Driving#677721arXiv (All)
• HybridWorldSim: A Scalable and Controllable High-fidelity Simulator for Autonomous Driving#788679arXiv (OAI Expanded)
• HybridWorldSim: A Scalable and Controllable High-fidelity Simulator for Autonomous Driving#792679arXiv (All)
• CoLMIN: LLM-based Multi-Decision Path Negotiation for Cooperative Autonomous Driving#971473arXiv (All)
• ARMOR: Pareto-Aware Dynamic Routing for Energy-Efficient Heterogeneous Multimodal Perception in Autonomous Driving.#975826NCBI PubMed Central
• Data-Driven Risk Fields for Safer End-to-End Autonomous Driving#998459arXiv (All)
• FIVE-VLA: Fast and EffectIVE Autonomous Driving with Recurrent Action Memory#1012798arXiv (All)
• 4D Radar Perception Algorithms for Autonomous Driving: A Review#1013815arXiv (All)
• Refining Ground Truth Poses in Autonomous Driving Datasets via Neural Rendering#1035285arXiv (All)
• When Digital Twins Meet Large Language Models: Realistic, Interactive, and Editable Simulation for Autonomous Driving#1036557arXiv (All)
• DiDrive: A Risk-Aware Hierarchical Diffusion Framework for Safe Offline Reinforcement Learning in Autonomous Driving#822050arXiv (All)
• MILER: Semantic Mid-Level Representation for Sim-to-Real Reinforcement Learning in Unstructured Autonomous Driving#978417arXiv CS
• A Risk-Sensitive and Uncertainty-Aware Decision-Making and Control Framework for Safe and Robust Autonomous Driving#987984arXiv (All)
• WZPlanner: Safe End-to-End Path Planning for Autonomous Driving in Work Zones#1013988arXiv (All)
• MILER: Semantic Mid-Level Representation for Sim-to-Real Reinforcement Learning in Unstructured Autonomous Driving#1034543arXiv (All)
• Benchmarking Vision-Language Models for Traffic Scene Understanding in Inclement Winter Weather: The AWDB Benchmark#675149Digital Commons @ Michigan Tech
• Driving Sustainability: A Multi-dimensional Impact Analysis on Integrating Autonomous Electric Vehicles Into Urban Mobility Ecosystems#167677Harvard DASH
• A Vision of Intelligent Train Control#250587IRIS
• Semantic Segmentation of Point Cloud Sequences using Point Transformer v3#307623DigitalCommons@Kennesaw State University
• Toward the Right Analytical Model and System Software for Autonomous Driving Systems: Open Problems and Research Directions#343562arXiv CS
• WCog-VLA: A Dual-Level World-Cognitive Vision-Language-Action Model for End-to-End Autonomous Driving#353115arXiv CS
• In the Driver's Seat: A Multi-Company Study on the Reality of Autonomous Driving System Testing#381808arXiv CS
• Towards Scalable Simulation for Human-Centered Autonomy#634816eScholarship
• A Low-Cost, Open Platform for End-to-End Autonomous Driving on a Miniature Ackermann Vehicle#639656arXiv CS
• A Collaborative Multi-Modality Interaction for VLA-based End-to-End Autonomous Driving#661032arXiv (OAI Expanded)
• A Collaborative Multi-Modality Interaction for VLA-based End-to-End Autonomous Driving#662082arXiv (All)
• CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving#668521arXiv (OAI Expanded)
• CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving#670586arXiv (All)
• BLUE: Toward Better Language Use in Efficient Vision-Language-Action Models for Autonomous Driving#789717arXiv (OAI Expanded)
• BLUE: Toward Better Language Use in Efficient Vision-Language-Action Models for Autonomous Driving#793721arXiv (All)
• PlannerForge: LLM Agents for Scenario-Based Testing of Motion Planners in Autonomous Driving#986584arXiv (All)
• Accuracy- and Real-Time-Aware 4D Radar Preprocessing for Autonomous Driving Perception Systems#1012721arXiv (All)
• Latent-Centroid Steering: Single-Pass Classifier-Free Guidance for Command-Aligned Autonomous Driving#1013643arXiv (All)
• Benchmarking Autonomous Driving Planners Across Leaderboards: A Unified CARLA-Based Evaluation#1034675arXiv (All)
• ZYT-World: A Real-Time Controllable World Model for Closed-Loop Autonomous-Driving Simulation#1036102arXiv (All)
• U-ViLAR: Uncertainty-Aware Visual Localization for Autonomous Driving via Differentiable Association and Registration#173324arXiv (OAI)
• Can Attribution Predict Risk? From Multi-View Attribution to Planning Risk Signals in End-to-End Autonomous Driving#608870arXiv (OAI Expanded)
• Can Attribution Predict Risk? From Multi-View Attribution to Planning Risk Signals in End-to-End Autonomous Driving#609932arXiv (All)
• Multi-Scale Spectral Attention Module-based Hyperspectral Segmentation in Autonomous Driving Scenarios#627928arXiv (OAI Expanded)
• Multi-Scale Spectral Attention Module-based Hyperspectral Segmentation in Autonomous Driving Scenarios#629790arXiv (All)
• Multi-Agent Embodied Autonomous Driving (MAEAD): From V2X Information Exchange to Shared World Models#633521arXiv (OAI Expanded)
• Multi-Agent Embodied Autonomous Driving (MAEAD): From V2X Information Exchange to Shared World Models#635870arXiv (All)
• Continuous Actions from Discrete Minds: Latent-Aligned Planning for End-to-End Autonomous Driving#926915arXiv (All)