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Research of Intelligent Car Dual-Navigation System Based on Complex Environment

  • Guang-bin Bao
  • Le Zhang
  • Hong Zhao
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 503)

Abstract

The visual path recognition is one of the most important means of intelligent Car navigation. However, it is still faces with many challenges to realize accurate visual navigation in complex environment. As a supplement, manual navigation has the characteristic of high reliability and high flexibility. In this paper, the intelligent car was provided with two navigation modes which can be switched in real time. The first mode adopted the combination between MC9SXS128 Single Chip Micyoco (SCM) as the core controller and a COMS camera to achieve autonomous navigation. The second mode, manual navigation, was brought about by a Play Station 2 (PS2) handle connected to the above SCM mediately. This combination of two navigation mode above is called dual-navigation system. Finally, the experiment results show that the autonomous navigation is competent in navigation task in general complex environment, and it is able to overcome the interference from external environment effectively, such as shadow generated by the backlight and uneven lighting. Besides, manual navigation is quite qualified for navigation tasks in non-general complex environment. And two navigation modes work in with each other well.

Keywords

Intelligent car Complex environment Recognition Visual autonomous navigation Manual navigation 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Computer and CommunicationLanzhou University of TechnologyLanzhouChina

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