{"total":121,"rows":[{"id":"2309.15817","title":"Identifying the Risks of LM Agents with an LM-Emulated Sandbox","created":"2023-09-25","cited_by_count":548,"area":"agents"},{"id":"2206.08920","title":"VectorMapNet: End-to-end Vectorized HD Map Learning","created":"2022-06-17","cited_by_count":245,"area":null},{"id":"2303.09824","title":"Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives","created":"2023-03-17","cited_by_count":114,"area":"driving"},{"id":"2402.05746","title":"Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents","created":"2024-02-08","cited_by_count":91,"area":"driving"},{"id":"2201.05057","title":"On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles","created":"2022-01-13","cited_by_count":90,"area":null},{"id":"2506.09042","title":"Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models","created":"2025-06-10","cited_by_count":84,"area":"driving"},{"id":"2111.12083","title":"VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles","created":"2021-11-23","cited_by_count":81,"area":null},{"id":"2304.08481","title":"Neural Map Prior for Autonomous Driving","created":"2023-04-17","cited_by_count":68,"area":null},{"id":"2202.07008","title":"Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing","created":"2022-02-14","cited_by_count":64,"area":"driving"},{"id":"2305.01263","title":"How Simulation Helps Autonomous Driving:A Survey of Sim2real, Digital Twins, and Parallel Intelligence","created":"2023-05-02","cited_by_count":58,"area":null},{"id":"2509.19012","title":"Pure Vision Language Action (VLA) Models: A Comprehensive Survey","created":"2025-09-23","cited_by_count":49,"area":"mllm"},{"id":"2510.04333","title":"RAP: 3D Rasterization Augmented End-to-End Planning","created":"2025-10-05","cited_by_count":41,"area":"driving"},{"id":"2506.11526","title":"Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis","created":"2025-06-13","cited_by_count":38,"area":"driving"},{"id":"2308.11894","title":"Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack","created":"2023-08-23","cited_by_count":37,"area":null},{"id":"2403.20079","title":"SGD: Street View Synthesis with Gaussian Splatting and Diffusion Prior","created":"2024-03-29","cited_by_count":36,"area":"wm"},{"id":"2104.07830","title":"Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles","created":"2021-04-16","cited_by_count":33,"area":"driving"},{"id":"2104.11212","title":"Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation","created":"2021-04-22","cited_by_count":32,"area":null},{"id":"2101.05337","title":"A Survey on Simulators for Testing Self-Driving Cars","created":"2021-01-13","cited_by_count":27,"area":"driving"},{"id":"2401.08739","title":"EgoGen: An Egocentric Synthetic Data Generator","created":"2024-01-16","cited_by_count":27,"area":null},{"id":"2106.07098","title":"Security Analysis of Camera-LiDAR Fusion Against Black-Box Attacks on Autonomous Vehicles","created":"2021-06-13","cited_by_count":26,"area":null},{"id":"2311.11056","title":"Choose Your Simulator Wisely: A Review on Open-source Simulators for Autonomous Driving","created":"2023-11-18","cited_by_count":26,"area":null},{"id":"2101.11118","title":"Can Offline Testing of Deep Neural Networks Replace Their Online Testing?","created":"2021-01-26","cited_by_count":24,"area":null},{"id":"2505.05474","title":"3D Scene Generation: A Survey","created":"2025-05-08","cited_by_count":24,"area":"diffusion"},{"id":"2112.00964","title":"A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation","created":"2021-12-02","cited_by_count":21,"area":null},{"id":"2208.10590","title":"A Survey and Framework of Cooperative Perception: From Heterogeneous Singleton to Hierarchical Cooperation","created":"2022-08-22","cited_by_count":21,"area":null},{"id":"2202.07133","title":"Sim-to-Real Domain Adaptation for Lane Detection and Classification in Autonomous Driving","created":"2022-02-15","cited_by_count":20,"area":null},{"id":"2109.06126","title":"Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles","created":"2021-09-13","cited_by_count":19,"area":"driving"},{"id":"2503.05484","title":"DecoupledGaussian: Object-Scene Decoupling for Physics-Based Interaction","created":"2025-03-07","cited_by_count":17,"area":null},{"id":"2106.13052","title":"Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks","created":"2021-06-24","cited_by_count":15,"area":null},{"id":"2312.09520","title":"SlowTrack: Increasing the Latency of Camera-based Perception in Autonomous Driving Using Adversarial Examples","created":"2023-12-15","cited_by_count":15,"area":null},{"id":"2406.12563","title":"A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo","created":"2024-06-18","cited_by_count":15,"area":"deeprl"},{"id":"2201.11871","title":"Infrastructure-Based Object Detection and Tracking for Cooperative Driving Automation: A Survey","created":"2022-01-28","cited_by_count":14,"area":null},{"id":"2211.01671","title":"Visual Adversarial Attacks and Defenses in the Physical World: A Survey","created":"2022-11-03","cited_by_count":11,"area":null},{"id":"2404.18573","title":"Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification","created":"2024-04-29","cited_by_count":11,"area":null},{"id":"2212.05241","title":"AutoDRIVE: A Comprehensive, Flexible and Integrated Digital Twin Ecosystem for Enhancing Autonomous Driving Research and Education","created":"2022-12-10","cited_by_count":10,"area":"driving"},{"id":"2107.04164","title":"Parallel and Multi-Objective Falsification with Scenic and VerifAI","created":"2021-07-09","cited_by_count":8,"area":null},{"id":"2208.06309","title":"ANTI-CARLA: An Adversarial Testing Framework for Autonomous Vehicles in CARLA","created":"2022-07-19","cited_by_count":8,"area":null},{"id":"2112.04042","title":"Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study","created":"2021-12-07","cited_by_count":7,"area":null},{"id":"2211.03408","title":"RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow","created":"2022-11-07","cited_by_count":7,"area":null},{"id":"2411.16027","title":"From Dashcam Videos to Driving Simulations: Stress Testing Automated Vehicles against Rare Events","created":"2024-11-25","cited_by_count":7,"area":"driving"},{"id":"2510.14677","title":"When Planners Meet Reality: How Learned, Reactive Traffic Agents Shift nuPlan Benchmarks","created":"2025-10-16","cited_by_count":7,"area":null},{"id":"2109.02529","title":"ViSTA: a Framework for Virtual Scenario-based Testing of Autonomous Vehicles","created":"2021-09-06","cited_by_count":6,"area":null},{"id":"2304.05098","title":"Benchmarking the Physical-world Adversarial Robustness of Vehicle Detection","created":"2023-04-11","cited_by_count":6,"area":null},{"id":"2404.06229","title":"Autonomous Driving Small-Scale Cars: A Survey of Recent Development","created":"2024-04-09","cited_by_count":6,"area":null},{"id":"2406.05810","title":"ControlLoc: Physical-World Hijacking Attack on Visual Perception in Autonomous Driving","created":"2024-06-09","cited_by_count":6,"area":null},{"id":"2103.00345","title":"End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering","created":"2021-02-27","cited_by_count":5,"area":null},{"id":"2201.09463","title":"Cyber Mobility Mirror for Enabling Cooperative Driving Automation in Mixed Traffic: A Co-Simulation Platform","created":"2022-01-24","cited_by_count":5,"area":null},{"id":"2308.03476","title":"Exploring the Physical World Adversarial Robustness of Vehicle Detection","created":"2023-08-07","cited_by_count":5,"area":null},{"id":"2401.15803","title":"GarchingSim: An Autonomous Driving Simulator with Photorealistic Scenes and Minimalist Workflow","created":"2024-01-28","cited_by_count":5,"area":null},{"id":"2505.21743","title":"Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen","created":"2025-05-27","cited_by_count":5,"area":null},{"id":"2508.19204","title":"LSD-3D: Large-Scale 3D Driving Scene Generation with Geometry Grounding","created":"2025-08-26","cited_by_count":5,"area":null},{"id":"2603.28032","title":"CARLA-Air: Fly Drones Inside a CARLA World -- A Unified Infrastructure for Air-Ground Embodied Intelligence","created":"2026-03-30","cited_by_count":5,"area":null},{"id":"2106.00873","title":"Coverage-based Scene Fuzzing for Virtual Autonomous Driving Testing","created":"2021-06-02","cited_by_count":4,"area":null},{"id":"2203.12026","title":"Machine Learning Testing in an ADAS Case Study Using Simulation-Integrated Bio-Inspired Search-Based Testing","created":"2022-03-22","cited_by_count":4,"area":null},{"id":"2302.11919","title":"PEM: Perception Error Model for Virtual Testing of Autonomous Vehicles","created":"2023-02-23","cited_by_count":4,"area":null},{"id":"2302.12966","title":"SUPS: A Simulated Underground Parking Scenario Dataset for Autonomous Driving","created":"2023-02-25","cited_by_count":4,"area":null},{"id":"2402.18393","title":"Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems","created":"2024-02-28","cited_by_count":4,"area":null},{"id":"2409.15135","title":"Controllable Traffic Simulation through LLM-Guided Hierarchical Reasoning and Refinement","created":"2024-09-23","cited_by_count":4,"area":"lr"},{"id":"2411.03672","title":"MetaSSC: Enhancing 3D Semantic Scene Completion for Autonomous Driving through Meta-Learning and Long-sequence Modeling","created":"2024-11-06","cited_by_count":4,"area":"ssm"},{"id":"2604.23010","title":"GenAssets: Generating in-the-wild 3D Assets in Latent Space","created":"2026-04-24","cited_by_count":4,"area":"diffusion"},{"id":"2101.01843","title":"ISETAuto: Detecting vehicles with depth and radiance information","created":"2021-01-06","cited_by_count":3,"area":null},{"id":"2112.00206","title":"Querying Labelled Data with Scenario Programs for Sim-to-Real Validation","created":"2021-12-01","cited_by_count":3,"area":null},{"id":"2310.05170","title":"DeepQTest: Testing Autonomous Driving Systems with Reinforcement Learning and Real-world Weather Data","created":"2023-10-08","cited_by_count":3,"area":"driving"},{"id":"2406.05800","title":"SlowPerception: Physical-World Latency Attack against Visual Perception in Autonomous Driving","created":"2024-06-09","cited_by_count":3,"area":null},{"id":"2409.20426","title":"Navigating Threats: A Survey of Physical Adversarial Attacks on LiDAR Perception Systems in Autonomous Vehicles","created":"2024-09-30","cited_by_count":3,"area":null},{"id":"2503.01632","title":"CoT-VLM4Tar: Chain-of-Thought Guided Vision-Language Models for Traffic Anomaly Resolution","created":"2025-03-03","cited_by_count":3,"area":"lr"},{"id":"2503.15049","title":"HAD-Gen: Human-like and Diverse Driving Behavior Modeling for Controllable Scenario Generation","created":"2025-03-19","cited_by_count":3,"area":"driving"},{"id":"2507.00319","title":"When Digital Twins Meet Large Language Models: Realistic, Interactive, and Editable Simulation for Autonomous Driving","created":"2025-06-30","cited_by_count":3,"area":"driving"},{"id":"2603.09086","title":"Latent World Models for Automated Driving: A Unified Taxonomy, Evaluation Framework, and Open Challenges","created":"2026-03-10","cited_by_count":3,"area":"wm"},{"id":"2208.07943","title":"TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments","created":"2022-08-16","cited_by_count":2,"area":null},{"id":"2211.11175","title":"CoPEM: Cooperative Perception Error Models for Autonomous Driving","created":"2022-11-21","cited_by_count":2,"area":null},{"id":"2310.08595","title":"Deep Reinforcement Learning for Autonomous Vehicle Intersection Navigation","created":"2023-09-30","cited_by_count":2,"area":"driving"},{"id":"2403.13729","title":"Reinforcement Learning for Online Testing of Autonomous Driving Systems: a Replication and Extension Study","created":"2024-03-20","cited_by_count":2,"area":"driving"},{"id":"2403.15067","title":"A Twin Delayed Deep Deterministic Policy Gradient Algorithm for Autonomous Ground Vehicle Navigation via Digital Twin Perception Awareness","created":"2024-03-22","cited_by_count":2,"area":"deeprl"},{"id":"2407.04359","title":"Dance of the ADS: Orchestrating Failures through Historically-Informed Scenario Fuzzing","created":"2024-07-05","cited_by_count":2,"area":null},{"id":"2502.20154","title":"Cutting-edge 3D reconstruction solutions for underwater coral reef images: A review and comparison","created":"2025-02-27","cited_by_count":2,"area":null},{"id":"2503.20654","title":"AccidentSim: Generating Vehicle Collision Videos with Physically Realistic Collision Trajectories from Real-World Accident Reports","created":"2025-03-26","cited_by_count":2,"area":"wm"},{"id":"2510.26641","title":"All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles","created":"2025-10-30","cited_by_count":2,"area":"mllm"},{"id":"2106.04547","title":"Automatic Generation of Machine Learning Synthetic Data Using ROS","created":"2021-06-08","cited_by_count":1,"area":null},{"id":"2202.13855","title":"Large-Scale 3D Semantic Reconstruction for Automated Driving Vehicles with Adaptive Truncated Signed Distance Function","created":"2022-02-28","cited_by_count":1,"area":null},{"id":"2309.01324","title":"SKoPe3D: A Synthetic Dataset for Vehicle Keypoint Perception in 3D from Traffic Monitoring Cameras","created":"2023-09-04","cited_by_count":1,"area":null},{"id":"2312.04008","title":"Natural-language-driven Simulation Benchmark and Copilot for Efficient Production of Object Interactions in Virtual Road Scenes","created":"2023-12-07","cited_by_count":1,"area":null},{"id":"2401.04980","title":"Autonomous Navigation of Tractor-Trailer Vehicles through Roundabout Intersections","created":"2024-01-10","cited_by_count":1,"area":null},{"id":"2402.12670","title":"Towards Validation of Autonomous Vehicles Across Scales using an Integrated Digital Twin Framework","created":"2024-02-20","cited_by_count":1,"area":"driving"},{"id":"2412.02574","title":"Generating Critical Scenarios for Testing Automated Driving Systems","created":"2024-12-03","cited_by_count":1,"area":"driving"},{"id":"2412.16592","title":"Leveraging Contrastive Learning for Semantic Segmentation with Consistent Labels Across Varying Appearances","created":"2024-12-21","cited_by_count":1,"area":null},{"id":"2501.02264","title":"Unsupervised Class Generation to Expand Semantic Segmentation Datasets","created":"2025-01-04","cited_by_count":1,"area":"diffusion"},{"id":"2502.00050","title":"DISC: Dataset for Analyzing Driving Styles In Simulated Crashes for Mixed Autonomy","created":"2025-01-28","cited_by_count":1,"area":null},{"id":"2502.21100","title":"AuthSim: Towards Authentic and Effective Safety-critical Scenario Generation for Autonomous Driving Tests","created":"2025-02-28","cited_by_count":1,"area":"driving"},{"id":"2503.00077","title":"Navigating the Edge with the State-of-the-Art Insights into Corner Case Identification and Generation for Enhanced Autonomous Vehicle Safety","created":"2025-02-27","cited_by_count":1,"area":null},{"id":"2506.14100","title":"A Hierarchical Test Platform for Vision Language Model (VLM)-Integrated Real-World Autonomous Driving","created":"2025-06-17","cited_by_count":1,"area":"lr"},{"id":"2508.02858","title":"Empowering Microscopic Traffic Simulators with Realistic Perception using Surrogate Sensor Models","created":"2025-08-04","cited_by_count":1,"area":null},{"id":"2511.14876","title":"Attacking Autonomous Driving Agents with Adversarial Machine Learning: A Holistic Evaluation with the CARLA Leaderboard","created":"2025-11-18","cited_by_count":1,"area":null},{"id":"2511.19109","title":"HABIT: Human Action Benchmark for Interactive Traffic in CARLA","created":"2025-11-24","cited_by_count":1,"area":null},{"id":"2603.10604","title":"HyPER-GAN: Hybrid Patch-Based Image-to-Image Translation for Real-Time Photorealism Enhancement in Game Engines","created":"2026-03-11","cited_by_count":1,"area":null},{"id":"2603.27238","title":"An Instance-Centric Panoptic Occupancy Prediction Benchmark for Autonomous Driving","created":"2026-03-28","cited_by_count":1,"area":null},{"id":"2106.14184","title":"Memory Guided Road Detection","created":"2021-06-27","cited_by_count":0,"area":null},{"id":"2205.04454","title":"OpenPodcar: an Open Source Vehicle for Self-Driving Car Research","created":"2022-05-09","cited_by_count":0,"area":null},{"id":"2305.18260","title":"Synfeal: A Data-Driven Simulator for End-to-End Camera Localization","created":"2023-05-29","cited_by_count":0,"area":null},{"id":"2312.06113","title":"SimMining-3D: Altitude-Aware 3D Object Detection in Complex Mining Environments: A Novel Dataset and ROS-Based Automatic Annotation Pipeline","created":"2023-12-11","cited_by_count":0,"area":null}],"next_cursor":"100"}