{"total":24,"rows":[{"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":"2305.00314","title":"InfraDet3D: Multi-Modal 3D Object Detection based on Roadside Infrastructure Camera and LiDAR Sensors","created":"2023-04-29","cited_by_count":25,"area":null},{"id":"2309.12708","title":"PointSSC: A Cooperative Vehicle-Infrastructure Point Cloud Benchmark for Semantic Scene Completion","created":"2023-09-22","cited_by_count":14,"area":null},{"id":"2404.14022","title":"Collaborative Perception Datasets in Autonomous Driving: A Survey","created":"2024-04-22","cited_by_count":11,"area":null},{"id":"2204.00106","title":"A Survey of Robust 3D Object Detection Methods in Point Clouds","created":"2022-03-31","cited_by_count":10,"area":null},{"id":"2207.05200","title":"Real-Time And Robust 3D Object Detection with Roadside LiDARs","created":"2022-07-11","cited_by_count":9,"area":null},{"id":"2503.17122","title":"R-LiViT: A LiDAR-Visual-Thermal Dataset Enabling Vulnerable Road User Focused Roadside Perception","created":"2025-03-21","cited_by_count":9,"area":null},{"id":"2301.10732","title":"An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation","created":"2023-01-25","cited_by_count":7,"area":null},{"id":"2211.01664","title":"PointSee: Image Enhances Point Cloud","created":"2022-11-03","cited_by_count":5,"area":null},{"id":"2405.19202","title":"Vulnerable Road User Detection and Safety Enhancement: A Comprehensive Survey","created":"2024-05-29","cited_by_count":5,"area":null},{"id":"2306.09266","title":"A9 Intersection Dataset: All You Need for Urban 3D Camera-LiDAR Roadside Perception","created":"2023-06-15","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":"2401.12862","title":"FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units","created":"2024-01-23","cited_by_count":2,"area":null},{"id":"2503.12095","title":"Towards Vision Zero: The TUM Traffic Accid3nD Dataset","created":"2025-03-15","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},{"id":"2404.03191","title":"CORP: A Multi-Modal Dataset for Campus-Oriented Roadside Perception Tasks","created":"2024-04-04","cited_by_count":1,"area":null},{"id":"2405.10132","title":"Cooperative Visual-LiDAR Extrinsic Calibration Technology for Intersection Vehicle-Infrastructure: A review","created":"2024-05-16","cited_by_count":1,"area":null},{"id":"2502.00402","title":"Enhancing Highway Safety: Accident Detection on the A9 Test Stretch Using Roadside Sensors","created":"2025-02-01","cited_by_count":1,"area":null},{"id":"2508.14567","title":"Safety-Critical Learning for Long-Tail Events: The TUM Traffic Accident Dataset","created":"2025-08-20","cited_by_count":1,"area":null},{"id":"2606.31895","title":"RESOLVE: A Multi-Resolution and Multi-Modal Dataset for Roadside Cooperative Perception","created":"2026-06-30","cited_by_count":1,"area":null},{"id":"2304.07745","title":"Framework for Quality Evaluation of Smart Roadside Infrastructure Sensors for Automated Driving Applications","created":"2023-04-16","cited_by_count":0,"area":null},{"id":"2509.02902","title":"LiGuard: A Streamlined Open-Source Framework for Rapid & Interactive Lidar Research","created":"2025-09-03","cited_by_count":0,"area":null},{"id":"2509.02903","title":"UrbanTwin: Building High-Fidelity Digital Twins for Sim2Real LiDAR Perception and Evaluation","created":"2025-09-03","cited_by_count":0,"area":null},{"id":"2509.02904","title":"High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception","created":"2025-09-03","cited_by_count":0,"area":null}],"next_cursor":null}