论文标题
OCR-RTPS：基于OCR的代客停车的实时定位系统
OCR-RTPS: An OCR-based real-time positioning system for the valet parking
论文作者
论文摘要
获得自动驾驶领域自动控制和路径规划的至关重要的先决条件。大多数现有的定位系统都依赖于GPS，RTK或无线信号，这些信号很难在弱信号条件下提供有效的定位。本文提出了一个基于停车位的检测到的实时定位系统，因为它们是停车场现场的独特定位标记。它不仅可以在开放区域帮助定位，而且在隔离环境下独立运行。在公共数据集和自收集的数据集上测试的结果表明，该系统在性能中的表现优于其他人，并且在实践中适用。此外，代码和数据集将在以后发布。
Obtaining the position of ego-vehicle is a crucial prerequisite for automatic control and path planning in the field of autonomous driving. Most existing positioning systems rely on GPS, RTK, or wireless signals, which are arduous to provide effective localization under weak signal conditions. This paper proposes a real-time positioning system based on the detection of the parking numbers as they are unique positioning marks in the parking lot scene. It does not only can help with the positioning with open area, but also run independently under isolation environment. The result tested on both public datasets and self-collected dataset show that the system outperforms others in both performances and applies in practice. In addition, the code and dataset will release later.
