{"total":17,"rows":[{"id":"2504.00204","title":"RailGoerl24: G\\\"orlitz Rail Test Center CV Dataset 2024","created":"2025-03-31","cited_by_count":5,"area":null},{"id":"2512.24385","title":"Forging Spatial Intelligence: A Roadmap of Multi-Modal Data Pre-Training for Autonomous Systems","created":"2025-12-30","cited_by_count":4,"area":null},{"id":"2507.16413","title":"Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox","created":"2025-07-22","cited_by_count":2,"area":null},{"id":"2602.22920","title":"OSDaR-AR: Enhancing Railway Perception Datasets via Multi-modal Augmented Reality","created":"2026-02-26","cited_by_count":2,"area":null},{"id":"2311.09778","title":"Certified Control for Train Sign Classification","created":"2023-11-16","cited_by_count":1,"area":null},{"id":"2603.27112","title":"RailVQA: A Benchmark and Framework for Efficient Interpretable Visual Cognition in Automatic Train Operation","created":"2026-03-28","cited_by_count":1,"area":null},{"id":"2403.17084","title":"A Comparative Analysis of Visual Odometry in Virtual and Real-World Railways Environments","created":"2024-03-25","cited_by_count":0,"area":null},{"id":"2410.13383","title":"Railway LiDAR semantic segmentation based on intelligent semi-automated data annotation","created":"2024-10-17","cited_by_count":0,"area":null},{"id":"2504.18203","title":"LiDAR-Guided Monocular 3D Object Detection for Long-Range Railway Monitoring","created":"2025-04-25","cited_by_count":0,"area":null},{"id":"2504.18213","title":"A Data-Centric Approach to 3D Semantic Segmentation of Railway Scenes","created":"2025-04-25","cited_by_count":0,"area":null},{"id":"2506.17936","title":"When concept-based XAI is imprecise: Do people distinguish between generalisations and misrepresentations?","created":"2025-06-22","cited_by_count":0,"area":null},{"id":"2603.00114","title":"Automated Quality Check of Sensor Data Annotations","created":"2026-02-19","cited_by_count":0,"area":null},{"id":"2604.14781","title":"Integrating Object Detection, LiDAR-Enhanced Depth Estimation, and Segmentation Models for Railway Environments","created":"2026-04-16","cited_by_count":0,"area":null},{"id":"2604.22507","title":"Railway Artificial Intelligence Learning Benchmark (RAIL-BENCH): A Benchmark Suite for Perception in the Railway Domain","created":"2026-04-24","cited_by_count":0,"area":null},{"id":"2608.04704","title":"A Multi-Sensor Dataset for Monitoring the Operational Environment of Rail Vehicles","created":"2026-08-05","cited_by_count":0,"area":null},{"id":"2608.04724","title":"A GitOps-Driven Annotation Catalog for Fully Automatic Railway Operations","created":"2026-08-05","cited_by_count":0,"area":null},{"id":"2608.15731","title":"Identifying Confusion Trends in Concept-based XAI for Multi-Label Classification","created":"2026-08-16","cited_by_count":0,"area":null}],"next_cursor":null}