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PERCEPTION

Vehicle 3-dimension measurement by monocular camera based on license plate

Shuaijun Li, Xinyu Jiang, Huihuan Qian, Yangsheng Xu

Year
2016
Citations
9

Abstract

Monocular cameras are not generally considered as a 3D measurement tool in the field of intelligent transportations. This belief limits the application of monocular cameras in many applications such as guiding robots or vehicles for autonomous driving. In this paper, we demonstrate that with the reference of a license plate, a monocular camera can be used as a tool to measure 3 dimensional parameters (width, height and length) of a passenger vehicle down to 10 cm accuracy. The proposed measurement method does not reply on any training process, but is designed as a fast and direct approach utilizing a series of fundamental computer vision techniques such as ROI extraction, edge/line detection, space coordinates transformations, etc. A series of validation tests were conducted and the results demonstrated the robustness of this measurement method and implies the possibility to broaden the application scope of monocular cameras in the field of autonomous driving and intelligent transportation systems.

Keywords

Computer visionArtificial intelligenceMonocular visionMonocularComputer scienceRobustness (evolution)LicenseField of viewRobot

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