Monocular Vision-Based Range Estimation of On-Road Vehicles

被引：0

作者：

Hsu, Chih-Ming ^{[1
]}

Chao, Fei-Hong ^{[2
]}

Lian, Feng-Li ^{[2
]}

机构：

[1] Natl Taipei Univ Technol, Dept Mech Engn, Taipei 106, Taiwan

[2] Natl Taiwan Univ, Dept Elect Engn, Taipei, Taiwan

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON SYSTEM SCIENCE AND ENGINEERING (ICSSE) | 2014年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a monocular vision-based range estimation of on-road vehicles approach. The proposed approach mainly combines non-drivable region from drivable region detection for detection region estimation instead of detecting the whole image, shadow detection for on-road object extraction, vehicle structure points estimation and adjusting for on-road vehicle classification, and motion vector and Kalman filter of on-road vehicles for collision avoiding. Extensive experimentation was performed to demonstrate that the proposed approach can correctly and dynamically estimate the relative distance of on-road vehicles in actual traffic conditions.

引用

页码：94 / 98

页数：5

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