Wide-scoped Around View Detection

DOI

10.2991/mbdasm-19.2019.31How to use a DOI?

Keywords

advanced driver assistance system; around view monitor; obstacle detection; homographic transformation; ego-motion estimation

Abstract

In recent years, around-view monitoring systems have become a public driving assistant for reducing collision hazards by eliminating invisible areas. Many of such systems provide short range views surrounding the vehicle, limiting its application to parking and reversing. We had developed a wide-scoped around view monitor system; however, only monitor is not enough for complete protection; thus, in this paper, we propose a detection system to highlight the wide-scoped around-view monitor system by detecting possible obstacles around the driving environment. We use four cameras mounted on four sides of a vehicle to capture the surrounding images; these images are then processed and projected on a dual-camber model centered by the vehicle. The projected imagery gives drivers the freedom to change view-point to suit different driving needs. By estimating the ego-motion of the vehicle using the input image sequence of the cameras, the proposed system is able to detect objects in the images by finding movements of features that do not correspond to ground motion relative to vehicle motion. Detected obstacles are highlighted in the wide-scoped around-view imagery to warn the driver of potential hazards. We tested the proposed system against asphalt, concrete, and tiled road surfaces with obstacles in the scene. The results show while concrete and tiled surface features can be effectively removed, feature-poor asphalt surface is prone to misdetection for errors introduced during calibration and ego-motion estimation.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Yu-Chung Kuo
AU  - Din-Chang Tseng
PY  - 2019/10
DA  - 2019/10
TI  - Wide-scoped Around View Detection
BT  - Proceedings of the 2019 International Conference on Mathematics, Big Data Analysis and Simulation and Modelling (MBDASM 2019)
PB  - Atlantis Press
SP  - 133
EP  - 138
SN  - 2352-538X
UR  - https://doi.org/10.2991/mbdasm-19.2019.31
DO  - 10.2991/mbdasm-19.2019.31
ID  - Kuo2019/10
ER  -