Comparison of Odometry Techniques for Vehicle Navigation

被引：0

作者：

Yu, Shang-Lin ^{[1
]}

Tsou, Da-Wun ^{[1
]}

Juang, Jyh-Ching ^{[1
]}

机构：

[1] Natl Cheng Kung Univ, Dept Elect Engn, Tainan, Taiwan

来源：

2016 INTERNATIONAL AUTOMATIC CONTROL CONFERENCE (CACS) | 2016年

关键词：

Vehicle Navigation; Integrated Navigation; Odometry; Fault Detection;

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：

Localization technique is a key technology for vehicular navigation and control. The use of satellite navigation is deemed essential. Yet, satellite-based navigation system is subject to multipath effect and signal blockages in urban area. To enhance the overall navigation capability, odometry techniques have been used as dead-reckoning devices to augment satellite navigation. To account the issues of sensor selection and sensor fault detection in an integrated vehicle navigation, the paper compares three odometry techniques based on monocular camera, laser scanner, and inertial sensor, respectively. The assessment is based on real data at a representative scenario.

引用

页码：19 / 24

页数：6

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