{"total":523,"rows":[{"id":"2406.09414","title":"Depth Anything V2","created":"2024-06-13","cited_by_count":1422,"area":null},{"id":"2306.17582","title":"ChatGPT for Robotics: Design Principles and Model Abilities","created":"2023-02-20","cited_by_count":299,"area":null},{"id":"2308.01898","title":"UniSim: A Neural Closed-Loop Sensor Simulator","created":"2023-08-03","cited_by_count":297,"area":null},{"id":"2301.04195","title":"Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments","created":"2023-01-10","cited_by_count":295,"area":null},{"id":"2109.12674","title":"MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning","created":"2021-09-26","cited_by_count":290,"area":"wm"},{"id":"2209.12836","title":"Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps","created":"2022-09-26","cited_by_count":255,"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":"2203.11483","title":"Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation","created":"2022-03-22","cited_by_count":197,"area":null},{"id":"2407.06886","title":"Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI","created":"2024-07-09","cited_by_count":179,"area":null},{"id":"2311.15260","title":"NeuRAD: Neural Rendering for Autonomous Driving","created":"2023-11-26","cited_by_count":150,"area":"driving"},{"id":"2311.01043","title":"LLM4Drive: A Survey of Large Language Models for Autonomous Driving","created":"2023-11-02","cited_by_count":136,"area":"driving"},{"id":"2206.09474","title":"3D Object Detection for Autonomous Driving: A Comprehensive Survey","created":"2022-06-19","cited_by_count":132,"area":null},{"id":"2308.06735","title":"AerialVLN: Vision-and-Language Navigation for UAVs","created":"2023-08-13","cited_by_count":121,"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":"2405.20323","title":"$\\textit{S}^3$Gaussian: Self-Supervised Street Gaussians for Autonomous Driving","created":"2024-05-30","cited_by_count":105,"area":"wm"},{"id":"2403.04133","title":"Towards learning-based planning:The nuPlan benchmark for real-world autonomous driving","created":"2024-03-07","cited_by_count":104,"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":"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":"2303.13560","title":"Collaboration Helps Camera Overtake LiDAR in 3D Detection","created":"2023-03-23","cited_by_count":81,"area":null},{"id":"1812.04155","title":"Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention","created":"2018-12-10","cited_by_count":77,"area":"offlinerl"},{"id":"2103.02142","title":"Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control","created":"2021-03-03","cited_by_count":77,"area":null},{"id":"2303.17220","title":"Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys","created":"2023-03-30","cited_by_count":75,"area":null},{"id":"2401.01454","title":"A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook","created":"2024-01-02","cited_by_count":66,"area":null},{"id":"2404.07762","title":"NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving","created":"2024-04-11","cited_by_count":62,"area":"driving"},{"id":"2302.05087","title":"Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models","created":"2023-02-10","cited_by_count":59,"area":null},{"id":"2310.17642","title":"Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models","created":"2023-10-26","cited_by_count":59,"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":"2404.02903","title":"LidarDM: Generative LiDAR Simulation in a Generated World","created":"2024-04-03","cited_by_count":54,"area":null},{"id":"2203.09065","title":"STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset","created":"2022-03-17","cited_by_count":53,"area":null},{"id":"2203.09831","title":"DTA: Physical Camouflage Attacks using Differentiable Transformation Network","created":"2022-03-18","cited_by_count":51,"area":null},{"id":"2109.06325","title":"safe-control-gym: a Unified Benchmark Suite for Safe Learning-based Control and Reinforcement Learning in Robotics","created":"2021-09-13","cited_by_count":50,"area":null},{"id":"2109.07982","title":"R3LIVE: A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package","created":"2021-09-10","cited_by_count":50,"area":null},{"id":"2205.12219","title":"Aerial Vision-and-Dialog Navigation","created":"2022-05-24","cited_by_count":49,"area":null},{"id":"2501.02341","title":"UAVs Meet LLMs: Overviews and Perspectives Toward Agentic Low-Altitude Mobility","created":"2025-01-04","cited_by_count":49,"area":"agents"},{"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":"2409.18313","title":"Embodied-RAG: General Non-parametric Embodied Memory for Retrieval and Generation","created":"2024-09-26","cited_by_count":44,"area":null},{"id":"2312.12176","title":"All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes","created":"2023-12-19","cited_by_count":41,"area":null},{"id":"2504.13157","title":"AerialMegaDepth: Learning Aerial-Ground Reconstruction and View Synthesis","created":"2025-04-17","cited_by_count":39,"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":"2505.10696","title":"TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation","created":"2025-05-15","cited_by_count":36,"area":null},{"id":"2108.11544","title":"Vision-Language Navigation: A Survey and Taxonomy","created":"2021-08-26","cited_by_count":34,"area":null},{"id":"2403.10075","title":"A survey of synthetic data augmentation methods in computer vision","created":"2024-03-15","cited_by_count":34,"area":null},{"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":"2309.12825","title":"OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control","created":"2023-09-22","cited_by_count":33,"area":null},{"id":"2508.00288","title":"UAV-ON: A Benchmark for Open-World Object Goal Navigation with Aerial Agents","created":"2025-08-01","cited_by_count":33,"area":null},{"id":"2408.09675","title":"Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey","created":"2024-08-19","cited_by_count":32,"area":"driving"},{"id":"2502.12532","title":"CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space","created":"2025-02-18","cited_by_count":32,"area":"agents"},{"id":"2105.09371","title":"VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation","created":"2021-05-19","cited_by_count":31,"area":"offlinerl"},{"id":"2106.03805","title":"3DB: A Framework for Debugging Computer Vision Models","created":"2021-06-07","cited_by_count":31,"area":null},{"id":"2205.03467","title":"EVIMO2: An Event Camera Dataset for Motion Segmentation, Optical Flow, Structure from Motion, and Visual Inertial Odometry in Indoor Scenes with Monocular or Stereo Algorithms","created":"2022-05-06","cited_by_count":31,"area":null},{"id":"2311.13081","title":"Learning to Fly in Seconds","created":"2023-11-22","cited_by_count":31,"area":null},{"id":"2505.15725","title":"UAV-Flow Colosseo: A Real-World Benchmark for Flying-on-a-Word UAV Imitation Learning","created":"2025-05-21","cited_by_count":31,"area":"offlinerl"},{"id":"2211.00385","title":"Behavioral Intention Prediction in Driving Scenes: A Survey","created":"2022-11-01","cited_by_count":30,"area":null},{"id":"2306.15713","title":"Rethinking Closed-loop Training for Autonomous Driving","created":"2023-06-27","cited_by_count":29,"area":"driving"},{"id":"2103.05368","title":"ChangeSim: Towards End-to-End Online Scene Change Detection in Industrial Indoor Environments","created":"2021-03-09","cited_by_count":28,"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":"1806.00047","title":"Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning","created":"2018-05-31","cited_by_count":27,"area":"offlinerl"},{"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":"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":"2209.14262","title":"A Survey on Physical Adversarial Attack in Computer Vision","created":"2022-09-28","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":"2408.15511","title":"AeroVerse: UAV-Agent Benchmark Suite for Simulating, Pre-training, Finetuning, and Evaluating Aerospace Embodied World Models","created":"2024-08-28","cited_by_count":25,"area":"wm"},{"id":"2412.20977","title":"UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI","created":"2024-12-30","cited_by_count":25,"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":"2103.12209","title":"Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision","created":"2021-03-22","cited_by_count":24,"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":"2403.10755","title":"Match-Stereo-Videos: Bidirectional Alignment for Consistent Dynamic Stereo Matching","created":"2024-03-16","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":"2509.20021","title":"Embodied AI: From LLMs to World Models","created":"2025-09-24","cited_by_count":24,"area":"wm"},{"id":"2510.20808","title":"The Reality Gap in Robotics: Challenges, Solutions, and Best Practices","created":"2025-10-23","cited_by_count":24,"area":null},{"id":"2106.13364","title":"CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning","created":"2021-06-25","cited_by_count":23,"area":null},{"id":"2108.04537","title":"Time-Optimal Planning for Quadrotor Waypoint Flight","created":"2021-08-10","cited_by_count":23,"area":null},{"id":"2208.03974","title":"Aerial Monocular 3D Object Detection","created":"2022-08-08","cited_by_count":23,"area":null},{"id":"2406.01309","title":"REvolve: Reward Evolution with Large Language Models using Human Feedback","created":"2024-06-03","cited_by_count":23,"area":"alignment"},{"id":"2512.20563","title":"LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving","created":"2025-12-23","cited_by_count":23,"area":"driving"},{"id":"2112.12252","title":"Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles","created":"2021-12-22","cited_by_count":22,"area":null},{"id":"2103.14231","title":"Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance","created":"2021-03-26","cited_by_count":21,"area":null},{"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":"2301.12688","title":"Dynamic Storyboard Generation in an Engine-based Virtual Environment for Video Production","created":"2023-01-30","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":"2407.08725","title":"MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility","created":"2024-07-11","cited_by_count":21,"area":"wm"},{"id":"2103.00806","title":"Representation Learning for Event-based Visuomotor Policies","created":"2021-03-01","cited_by_count":20,"area":null},{"id":"2305.19812","title":"A Survey of Label-Efficient Deep Learning for 3D Point Clouds","created":"2023-05-31","cited_by_count":20,"area":null},{"id":"2312.06654","title":"LightSim: Neural Lighting Simulation for Urban Scenes","created":"2023-12-11","cited_by_count":20,"area":null},{"id":"2405.05956","title":"Probing Multimodal LLMs as World Models for Driving","created":"2024-05-09","cited_by_count":20,"area":"wm"},{"id":"2408.15242","title":"Drone-assisted Road Gaussian Splatting with Cross-view Uncertainty","created":"2024-08-27","cited_by_count":20,"area":null},{"id":"2411.15482","title":"SplatFlow: Self-Supervised Dynamic Gaussian Splatting in Neural Motion Flow Field for Autonomous Driving","created":"2024-11-23","cited_by_count":20,"area":null},{"id":"2103.09151","title":"Adversarial Driving: Attacking End-to-End Autonomous Driving","created":"2021-03-16","cited_by_count":19,"area":"driving"},{"id":"2404.13816","title":"Neural Radiance Field in Autonomous Driving: A Survey","created":"2024-04-22","cited_by_count":19,"area":null},{"id":"2303.12134","title":"Monocular Visual-Inertial Depth Estimation","created":"2023-03-21","cited_by_count":18,"area":null},{"id":"2506.07826","title":"R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation","created":"2025-06-09","cited_by_count":18,"area":null},{"id":"2111.12137","title":"Learning Interactive Driving Policies via Data-driven Simulation","created":"2021-11-23","cited_by_count":17,"area":"driving"},{"id":"2209.08498","title":"LATITUDE: Robotic Global Localization with Truncated Dynamic Low-pass Filter in City-scale NeRF","created":"2022-09-18","cited_by_count":17,"area":null},{"id":"2402.17483","title":"AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis","created":"2024-02-27","cited_by_count":17,"area":null},{"id":"2107.00771","title":"Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking","created":"2021-07-01","cited_by_count":16,"area":null},{"id":"2203.07676","title":"An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility","created":"2022-03-15","cited_by_count":16,"area":null},{"id":"2209.10986","title":"Learning to Simulate Realistic LiDARs","created":"2022-09-22","cited_by_count":16,"area":null},{"id":"2410.11125","title":"UAV3D: A Large-scale 3D Perception Benchmark for Unmanned Aerial Vehicles","created":"2024-10-14","cited_by_count":16,"area":null}],"next_cursor":"100"}