用于轨道车辆运行环境监测的多传感器数据集
A Multi-Sensor Dataset for Monitoring the Operational Environment of Rail Vehicles
浏览论文内容
中文总结 AI 辅助
该研究在DSD计划下开发了一套多传感器铁路环境监测数据集，含超700万条标注，可用于训练AI感知系统，助力铁路自动化运行的安全高效。
中文摘要 AI 辅助
可靠的环境监测对于自动化铁路系统的安全高效运行至关重要，覆盖所有自动化等级（GoA），从部分自动化（GoA2）到全自动化运行（GoA4）。人工智能（AI）在使这些系统能够实时检测、分类和应对潜在危险方面发挥核心作用。开发此类基于AI的感知系统需要大量经过精确标注的数据用于训练和验证。在德国数字铁路（Digitale Schiene Deutschland，DSD）计划框架内，DB InfraGO AG与understandAI GmbH开发了一套针对铁路环境感知需求的综合多传感器数据集。该数据集包含超过700万条高质量标注，涵盖铁路特定及通用感知对象，在不同运行场景下采集而成。最终数据集现可向DB InfraGO AG申请获取，可作为推动铁路领域AI驱动环境监测的宝贵资源。
英文摘要
Reliable environment monitoring is essential for the safe and efficient operation of automated railway systems, covering all Grades of Automation (GoA), from partially automated (GoA2) to fully automated operation (GoA4). Artificial Intelligence (AI) plays a central role in enabling these systems to detect, classify, and react to potential hazards in real time. The development of such AI-based perception systems requires large volumes of accurately annotated data for training and validation. Within the Digitale Schiene Deutschland (DSD) program, DB InfraGO AG and understandAI GmbH have developed a comprehensive multi- sensor dataset tailored to the needs of railway environment perception. This dataset contains over 7 million high-quality annotations of both railway-specific and general perception objects, captured under varying operational scenarios. The finalized dataset can now be requested at the DB InfraGO AG and serve as a valuable resource for advancing AI-driven environment monitoring in the railway domain.
发表机构
- understandAI GmbH（understandAI有限公司）
- DB InfraGO AG（DB InfraGO股份公司）
机构由 AI 辅助整理，请以论文原文为准。
