来自斯洛伐克道路的摄像头和遥测数据在各种光线和天气条件下
Marek Galinski1, Tomáš Milesich2, Matej Janeba3
1Slovak University of Technology, Faculty of Informatics and Information Technologies, Bratislava, 842 16, Slovakia. marek.galinski@stuba.sk.
Scientific data
|December 31, 2024
概括
本文介绍了在斯洛伐克捕获的新的驾驶数据集,其中包括各种道路类型和条件. 该数据集包括用于自动驾驶研究的高精度传感器数据.
科学领域:
- 计算机视觉 计算机视觉
- 机器人技术 机器人技术 机器人技术
- 地理空间数据科学数据科学
背景情况:
- 自主系统需要多样化,现实世界的数据集,以获得强大的性能.
- 现有的数据集可能缺乏全面的传感器集成或各种环境条件.
研究的目的:
- 介绍和描述一个新的,全面的驾驶数据集.
- 为培训和验证自动驾驶算法提供一个有价值的资源.
主要方法:
- 数据是使用Land Rover Defender上专有系统捕获的.
- 使用汽车级的FPD Link摄像头 (30/秒) 和高精度GNSS.
- 集成了一个适配器,用于LTE和5G移动数据连接.
主要成果:
- 在斯洛伐克的各种道路类型中收集了近33小时的驾驶数据.
- 数据涵盖了各种条件:直接阳光,日光,雨/雾,黎明/黄昏.
- 每个都包括精确的位置,速度,方向和连接信息.
结论:
- 该数据集为推进自动驾驶技术提供了丰富的现实资源.
- 它在道路类型和环境条件上的多样性增强了它对研究的有用性.
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