ROS based Stereo Vision System for Autonomous Vehicle

被引：0
|
作者：
Abhishek, B. [1 ]
Gautham, S. [1 ]
Samuel, Varun Rufus Raj D. [2 ]
Keshav, K. [1 ]
Vignesh, U. P. [1 ]
Nair, Shyam R. [2 ]
机构：
[1] Hindustan Inst Technol & Sci, Mechatron Engn, Chennai, Tamil Nadu, India
[2] Hindustan Inst Technol & Sci, Ctr Automat & Robot, Chennai, Tamil Nadu, India
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON POWER, CONTROL, SIGNALS AND INSTRUMENTATION ENGINEERING (ICPCSI) | 2017年
关键词：
artificial neural network; autonomous vehicle; controller; image processing; navigation; position lock; ROS;
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：
In this paper, we have designed a autonomous vehicle which is cost effective and powered by Robotic Operating System (ROS). The vehicle is capable of maintaining a constant speed and distance for monitoring or surveillance. ROS is implemented for trajectory tracking and telemetry. A low cost compact on-board embedded system powers the vehicle. Various image processing techniques are been implemented for navigation and obstacle detection. Artificial Neural Network which helps in finding the shortest path by using the acquired data from image processing. Different controllers were implemented for movement and obstacle avoidance including PI and PID. The performance were compared and the results are also discussed in this paper.
引用
收藏
页码：2269 / 2273
页数：5
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