Distorted pinhole model for image warping in lane detection applications

Juan Zheng; Rigoberto Juarez-Salazar; Victor Hugo Diaz-Ramirez

doi:10.1117/12.2594934

1 August 2021 Distorted pinhole model for image warping in lane detection applications

Juan Zheng, Rigoberto Juarez-Salazar, Victor Hugo Diaz-Ramirez

Proceedings Volume 11841, Optics and Photonics for Information Processing XV; 1184106 (2021) https://doi.org/10.1117/12.2594934
Event: SPIE Optical Engineering + Applications, 2021, San Diego, California, United States

Abstract

Perspective distortion is a typical transformation reproduced by the pinhole model. However, camera lenses introduce radial distortion that reduces the accuracy of image processing tasks, such as lane detection for visual navigation. This paper proposes an image warping method based on the distorted pinhole camera model for lane detection applications. The theoretical principles of the imaging process are analyzed. The usefulness of this method is illustrated by estimating the pose of a ground vehicle using lane lines. The results show that the proposed approach is feasible for visual feedback in robot navigation applications.

Conference Presentation

Citation Download Citation

Juan Zheng, Rigoberto Juarez-Salazar, and Victor Hugo Diaz-Ramirez "Distorted pinhole model for image warping in lane detection applications", Proc. SPIE 11841, Optics and Photonics for Information Processing XV, 1184106 (1 August 2021); https://doi.org/10.1117/12.2594934

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