利用道路平行约束，无监督修正停车场GPS偏移
Rectify and Align GPS Points to Parking Spots via Rank-1 Constraint
- 基于停车位与道路平行的物理约束，设计低秩无监督修正方法
- 在真实数据集上显著提升GPS点对齐精度，有效解决高楼遮挡误差
- 适合城市交通管理、智慧停车等实际应用，代码开源可复现
停车场是城市中重要的移动资源，其精准的全球定位系统（GPS）坐标是后续停车管理、政策制定和城市规划的核心数据。然而，高层建筑常导致GPS点偏离真实位置，且低成本设备本身存在定位误差。因此，在无监督条件下从大量停车场中纠正少数错误坐标是一项挑战。本文基于停车位与道路平行的物理特性，提出一种无监督低秩方法，在统一框架下有效修正GPS误差并将其对齐至实际停车位。该方法简单而高效，适用于各类GPS误差。大量实验表明其在实际问题上的优越性。数据集与代码已公开：https://github.com/pangjunbiao/ITS-Parking-spots-Dataset。
原文摘要 · Abstract (English)
Parking spots are essential components, providing vital mobile resources for residents in a city. Accurate Global Positioning System (GPS) points of parking spots are the core data for subsequent applications,e.g., parking management, parking policy, and urban development. However, high-rise buildings tend to cause GPS points to drift from the actual locations of parking spots; besides, the standard lower-cost GPS equipment itself has a certain location error. Therefore, it is a non-trivial task to correct a few wrong GPS points from a large number of parking spots in an unsupervised approach. In this paper, motivated by the physical constraints of parking spots (i.e., parking spots are parallel to the sides of roads), we propose an unsupervised low-rank method to effectively rectify errors in GPS points and further align them to the parking spots in a unified framework. The proposed unconventional rectification and alignment method is simple and yet effective for any type of GPS point errors. Extensive experiments demonstrate the superiority of the proposed method to solve a practical problem. The data set and the code are publicly accessible at:https://github.com/pangjunbiao/ITS-Parking-spots-Dataset.
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