OCR-RTPS: An OCR-based real-time positioning system for the valet parking

TL;DR

This paper introduces OCR-RTPS, a real-time vehicle positioning system using parking number detection, effective in open and isolated environments, outperforming existing methods in accuracy and practicality.

Contribution

The paper presents a novel OCR-based positioning system that operates independently of GPS or wireless signals, suitable for both open and isolated parking scenarios.

Findings

Outperforms existing positioning methods in accuracy.

Effective in both open areas and isolated environments.

Validated on public and self-collected datasets.

Abstract

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.