{"total":137,"rows":[{"id":"2301.00493","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","created":"2023-01-02","cited_by_count":707,"area":null},{"id":"2405.05941","title":"Evaluating Real-World Robot Manipulation Policies in Simulation","created":"2024-05-09","cited_by_count":495,"area":null},{"id":"2306.16927","title":"End-to-end Autonomous Driving: Challenges and Frontiers","created":"2023-06-29","cited_by_count":490,"area":"driving"},{"id":"2109.07644","title":"OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication","created":"2021-09-16","cited_by_count":304,"area":"wm"},{"id":"2308.01898","title":"UniSim: A Neural Closed-Loop Sensor Simulator","created":"2023-08-03","cited_by_count":297,"area":null},{"id":"2401.01339","title":"Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting","created":"2024-01-02","cited_by_count":221,"area":"wm"},{"id":"2101.06806","title":"MP3: A Unified Model to Map, Perceive, Predict and Plan","created":"2021-01-18","cited_by_count":212,"area":null},{"id":"2101.06557","title":"TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors","created":"2021-01-17","cited_by_count":193,"area":null},{"id":"2202.08449","title":"V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving","created":"2022-02-17","cited_by_count":157,"area":null},{"id":"2303.07601","title":"V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception","created":"2023-03-14","cited_by_count":155,"area":null},{"id":"2101.06549","title":"AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles","created":"2021-01-16","cited_by_count":137,"area":null},{"id":"2206.09474","title":"3D Object Detection for Autonomous Driving: A Comprehensive Survey","created":"2022-06-19","cited_by_count":132,"area":null},{"id":"2104.15060","title":"DriveGAN: Towards a Controllable High-Quality Neural Simulation","created":"2021-04-30","cited_by_count":125,"area":null},{"id":"2307.04370","title":"Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A Survey","created":"2023-07-10","cited_by_count":103,"area":"driving"},{"id":"2101.06547","title":"LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving","created":"2021-01-16","cited_by_count":96,"area":"driving"},{"id":"2209.03954","title":"Learning to Generate Realistic LiDAR Point Clouds","created":"2022-09-08","cited_by_count":93,"area":"wm"},{"id":"2305.12032","title":"The Waymo Open Sim Agents Challenge","created":"2023-05-19","cited_by_count":86,"area":null},{"id":"2101.06541","title":"SceneGen: Learning to Generate Realistic Traffic Scenes","created":"2021-01-16","cited_by_count":84,"area":null},{"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":"2311.01448","title":"UltraLiDAR: Learning Compact Representations for LiDAR Completion and Generation","created":"2023-11-02","cited_by_count":78,"area":null},{"id":"2101.06543","title":"GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving","created":"2021-01-16","cited_by_count":75,"area":null},{"id":"2404.00815","title":"Towards Realistic Scene Generation with LiDAR Diffusion Models","created":"2024-03-31","cited_by_count":69,"area":"wm"},{"id":"2305.01643","title":"Neural LiDAR Fields for Novel View Synthesis","created":"2023-05-02","cited_by_count":67,"area":null},{"id":"2106.12735","title":"Multi-Modal 3D Object Detection in Autonomous Driving: a Survey","created":"2021-06-24","cited_by_count":63,"area":null},{"id":"2501.11260","title":"A Survey of World Models for Autonomous Driving","created":"2025-01-20","cited_by_count":60,"area":"wm"},{"id":"2210.08061","title":"Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving","created":"2022-10-14","cited_by_count":59,"area":null},{"id":"2404.02903","title":"LidarDM: Generative LiDAR Simulation in a Generated World","created":"2024-04-03","cited_by_count":54,"area":null},{"id":"2101.06560","title":"Adversarial Attacks On Multi-Agent Communication","created":"2021-01-17","cited_by_count":49,"area":null},{"id":"2304.10406","title":"LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields","created":"2023-04-20","cited_by_count":47,"area":null},{"id":"2403.10094","title":"RangeLDM: Fast Realistic LiDAR Point Cloud Generation","created":"2024-03-15","cited_by_count":47,"area":"wm"},{"id":"2109.11615","title":"Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous Driving","created":"2021-09-23","cited_by_count":45,"area":null},{"id":"2304.14811","title":"NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields","created":"2023-04-28","cited_by_count":44,"area":null},{"id":"2308.16714","title":"Towards Vehicle-to-everything Autonomous Driving: A Survey on Collaborative Perception","created":"2023-08-31","cited_by_count":38,"area":null},{"id":"2306.15713","title":"Rethinking Closed-loop Training for Autonomous Driving","created":"2023-06-27","cited_by_count":29,"area":"driving"},{"id":"2504.15278","title":"DRAWER: Digital Reconstruction and Articulation With Environment Realism","created":"2025-04-21","cited_by_count":29,"area":null},{"id":"2402.02112","title":"S-NeRF++: Autonomous Driving Simulation via Neural Reconstruction and Generation","created":"2024-02-03","cited_by_count":28,"area":"wm"},{"id":"2102.11952","title":"Learning to Drop Points for LiDAR Scan Synthesis","created":"2021-02-23","cited_by_count":27,"area":"wm"},{"id":"2404.02742","title":"LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis","created":"2024-04-03","cited_by_count":27,"area":null},{"id":"2407.19628","title":"Text2LiDAR: Text-guided LiDAR Point Cloud Generation via Equirectangular Transformer","created":"2024-07-29","cited_by_count":27,"area":"wm"},{"id":"2311.01447","title":"CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation","created":"2023-11-02","cited_by_count":26,"area":null},{"id":"2403.17009","title":"Is Your LiDAR Placement Optimized for 3D Scene Understanding?","created":"2024-03-25","cited_by_count":26,"area":null},{"id":"2404.09833","title":"Video2Game: Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video","created":"2024-04-15","cited_by_count":26,"area":null},{"id":"2103.06028","title":"Model-free Vehicle Tracking and State Estimation in Point Cloud Sequences","created":"2021-03-10","cited_by_count":25,"area":null},{"id":"2103.15326","title":"Fooling LiDAR Perception via Adversarial Trajectory Perturbation","created":"2021-03-29","cited_by_count":25,"area":null},{"id":"2304.02163","title":"GINA-3D: Learning to Generate Implicit Neural Assets in the Wild","created":"2023-04-04","cited_by_count":25,"area":null},{"id":"2312.05247","title":"Dynamic LiDAR Re-simulation using Compositional Neural Fields","created":"2023-12-08","cited_by_count":24,"area":null},{"id":"2203.05314","title":"SoK: On the Semantic AI Security in Autonomous Driving","created":"2022-03-10","cited_by_count":22,"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":"2311.05602","title":"Reconstructing Objects in-the-wild for Realistic Sensor Simulation","created":"2023-11-09","cited_by_count":21,"area":null},{"id":"2210.08738","title":"PCGen: Point Cloud Generator for LiDAR Simulation","created":"2022-10-17","cited_by_count":20,"area":null},{"id":"2101.06832","title":"Deep Structured Reactive Planning","created":"2021-01-18","cited_by_count":19,"area":null},{"id":"2210.11750","title":"Generative Range Imaging for Learning Scene Priors of 3D LiDAR Data","created":"2022-10-21","cited_by_count":18,"area":"wm"},{"id":"2111.12137","title":"Learning Interactive Driving Policies via Data-driven Simulation","created":"2021-11-23","cited_by_count":17,"area":"driving"},{"id":"2209.10986","title":"Learning to Simulate Realistic LiDARs","created":"2022-09-22","cited_by_count":16,"area":null},{"id":"2112.00050","title":"Pattern-Aware Data Augmentation for LiDAR 3D Object Detection","created":"2021-11-30","cited_by_count":15,"area":null},{"id":"2410.05111","title":"LiDAR-GS:Real-time LiDAR Re-Simulation using Gaussian Splatting","created":"2024-10-07","cited_by_count":15,"area":null},{"id":"2211.15975","title":"Analyzing Infrastructure LiDAR Placement with Realistic LiDAR Simulation Library","created":"2022-11-29","cited_by_count":14,"area":null},{"id":"2510.05560","title":"HoloScene: Simulation-Ready Interactive 3D Worlds from a Single Video","created":"2025-10-07","cited_by_count":14,"area":null},{"id":"2301.12515","title":"LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection","created":"2023-01-29","cited_by_count":13,"area":null},{"id":"2309.05527","title":"ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation","created":"2023-09-11","cited_by_count":13,"area":null},{"id":"2111.07971","title":"Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation","created":"2021-11-15","cited_by_count":12,"area":null},{"id":"2406.10722","title":"GenMM: Geometrically and Temporally Consistent Multimodal Data Generation for Video and LiDAR","created":"2024-06-15","cited_by_count":12,"area":null},{"id":"2404.01486","title":"QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving","created":"2024-04-01","cited_by_count":11,"area":"driving"},{"id":"2409.18218","title":"Learning to Drive via Asymmetric Self-Play","created":"2024-09-26","cited_by_count":11,"area":"driving"},{"id":"2412.15199","title":"LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation","created":"2024-12-19","cited_by_count":11,"area":null},{"id":"2507.18473","title":"CRUISE: Cooperative Reconstruction and Editing in V2X Scenarios using Gaussian Splatting","created":"2025-07-24","cited_by_count":11,"area":null},{"id":"2208.10371","title":"Collaborative Perception for Autonomous Driving: Current Status and Future Trend","created":"2022-08-22","cited_by_count":10,"area":null},{"id":"2311.01446","title":"Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation","created":"2023-11-02","cited_by_count":10,"area":null},{"id":"2402.03830","title":"OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving","created":"2024-02-06","cited_by_count":10,"area":"driving"},{"id":"2505.16902","title":"RealEngine: Simulating Autonomous Driving in Realistic Context","created":"2025-05-22","cited_by_count":10,"area":"wm"},{"id":"2410.06380","title":"Adver-City: Open-Source Multi-Modal Dataset for Collaborative Perception Under Adverse Weather Conditions","created":"2024-10-08","cited_by_count":9,"area":null},{"id":"2412.07385","title":"LOGen: Toward Lidar Object Generation by Point Diffusion","created":"2024-12-10","cited_by_count":9,"area":"wm"},{"id":"2406.04300","title":"Text-to-Drive: Diverse Driving Behavior Synthesis via Large Language Models","created":"2024-06-06","cited_by_count":8,"area":"driving"},{"id":"2408.03065","title":"SCOPE: A Synthetic Multi-Modal Dataset for Collective Perception Including Physical-Correct Weather Conditions","created":"2024-08-06","cited_by_count":8,"area":null},{"id":"2303.01899","title":"Quantifying the LiDAR Sim-to-Real Domain Shift: A Detailed Investigation Using Object Detectors and Analyzing Point Clouds at Target-Level","created":"2023-03-03","cited_by_count":7,"area":null},{"id":"2305.12853","title":"Real-Aug: Realistic Scene Synthesis for LiDAR Augmentation in 3D Object Detection","created":"2023-05-22","cited_by_count":7,"area":null},{"id":"2305.13960","title":"From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving","created":"2023-05-23","cited_by_count":6,"area":null},{"id":"2312.12772","title":"Realistic Rainy Weather Simulation for LiDARs in CARLA Simulator","created":"2023-12-20","cited_by_count":6,"area":null},{"id":"2407.05597","title":"GeoNLF: Geometry guided Pose-Free Neural LiDAR Fields","created":"2024-07-08","cited_by_count":6,"area":null},{"id":"2203.03833","title":"Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap","created":"2022-03-08","cited_by_count":5,"area":null},{"id":"2211.10850","title":"Context-Aware Data Augmentation for LIDAR 3D Object Detection","created":"2022-11-20","cited_by_count":5,"area":null},{"id":"2403.11573","title":"Just Add $100 More: Augmenting NeRF-based Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem","created":"2024-03-18","cited_by_count":4,"area":null},{"id":"2405.16973","title":"Collective Perception Datasets for Autonomous Driving: A Comprehensive Review","created":"2024-05-27","cited_by_count":4,"area":null},{"id":"2408.14253","title":"Text3DAug -- Prompted Instance Augmentation for LiDAR Perception","created":"2024-08-26","cited_by_count":4,"area":null},{"id":"2412.00592","title":"LiDAR-EDIT: LiDAR Data Generation by Editing the Object Layouts in Real-World Scenes","created":"2024-11-30","cited_by_count":4,"area":"wm"},{"id":"2507.17613","title":"InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling","created":"2025-07-23","cited_by_count":4,"area":null},{"id":"2511.19004","title":"A Self-Conditioned Representation Guided Diffusion Model for Realistic Text-to-LiDAR Scene Generation","created":"2025-11-24","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":"2101.03279","title":"Investigating the Effect of Sensor Modalities in Multi-Sensor Detection-Prediction Models","created":"2021-01-09","cited_by_count":3,"area":null},{"id":"2107.13087","title":"DCL: Differential Contrastive Learning for Geometry-Aware Depth Synthesis","created":"2021-07-27","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":"2208.03130","title":"A Lightweight Machine Learning Pipeline for LiDAR-simulation","created":"2022-08-05","cited_by_count":3,"area":null},{"id":"2406.13896","title":"SMORE: Simultaneous Map and Object REconstruction","created":"2024-06-19","cited_by_count":3,"area":null},{"id":"2502.09274","title":"FLARES: Fast and Accurate LiDAR Multi-Range Semantic Segmentation","created":"2025-02-13","cited_by_count":3,"area":null},{"id":"2303.06080","title":"Communication-Critical Planning via Multi-Agent Trajectory Exchange","created":"2023-03-10","cited_by_count":2,"area":null},{"id":"2308.01424","title":"LiDAR View Synthesis for Robust Vehicle Navigation Without Expert Labels","created":"2023-08-02","cited_by_count":2,"area":null},{"id":"2404.08252","title":"MonoPatchNeRF: Improving Neural Radiance Fields with Patch-based Monocular Guidance","created":"2024-04-12","cited_by_count":2,"area":null},{"id":"2406.08292","title":"Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata","created":"2024-06-12","cited_by_count":2,"area":null},{"id":"2504.08361","title":"SN-LiDAR: Semantic Neural Fields for Novel Space-time View LiDAR Synthesis","created":"2025-04-11","cited_by_count":2,"area":null},{"id":"2509.06781","title":"UrbanTwin: Synthetic Roadside LiDAR Datasets","created":"2025-09-08","cited_by_count":2,"area":null}],"next_cursor":"100"}