Architecture and algorithm of intelligent vehicle navigation system based on MEMS

2009 ◽  
Author(s):  
Zhiping Liu ◽  
Fan Yu
Keyword(s):  
Navigation System ◽  
Intelligent Vehicle ◽  
Vehicle Navigation ◽  
Vehicle Navigation System

Intelligent Vehicle Navigation System Based on Multi-Visual Cognition Information

2013 ◽  
Vol 671-674 ◽  
pp. 2893-2898
Author(s):  
Jing Bao Yang ◽  
Gao Wei Zhang ◽  
Chun Lei Song ◽  
Zhong Hong Shen
Keyword(s):  
Information Fusion ◽  
Navigation System ◽  
Visual Cognition ◽  
Intelligent Vehicle ◽  
Vehicle Navigation ◽  
Traffic Sign ◽  
Traffic Lights ◽  
Sign Recognition ◽  
Vehicle Navigation System ◽  
Lane Line

Visual cognition system is an important research content of intelligent vehicle control system. This paper researched traffic lights recognition, lane line identification and traffic sign recognition which consist of vehicle intelligent multi-visual cognition system. The intelligent vehicle navigation system based on multi-visual cognition information fusion was also built and some algorithms had been tested on the real unmanned vehicle which led a good result.

The Intelligent Vehicle Navigation System Based on Photoelectric Sensor

2012 ◽  
Vol 510 ◽  
pp. 835-841 ◽  
Author(s):  
Dong Xu Sun ◽  
Wen Bin Zhang ◽  
Xue Yang Liu
Keyword(s):  
Navigation System ◽  
Control Structure ◽  
Intelligent Vehicle ◽  
Vehicle Navigation ◽  
Laser Sensor ◽  
Motor Speed ◽  
Pid Algorithm ◽  
Vehicle Navigation System ◽  
Sensing Technology ◽  
Photoelectric Sensor

This paper describes the intelligent vehicle navigation system based on 16 bits MCU MC9S12XS128. The system uses MC9S12XS128 as control core, realizing path recognition through the laser sensor, using PWM signals to control the actuator steering and motor speed, making the intelligent vehicle tracing along the black line of 25mm wide placidly. This technology can be widely used in automatic warehouse, robot vehicle and unmanned factory, etc. In this case, we designed and developed this intelligent vehicle navigation system, among it the PID algorithm is applied to the control structure. And the photoelectric sensing technology is also applied into the system. This system is of important reference significance for the research on unpiloted system.

Self-localization and positioning vehicle navigation system based on computer vision and PID control

2019 ◽  
Author(s):  
Christian Quintanar-Sotelo ◽  
Ernesto Bernal-Ortega ◽  
Adrian Navarro-Carranza ◽  
Alan J. Romo-Munoz ◽  
Jorge A. de la Cruz Morales ◽  
...  
Keyword(s):  
Computer Vision ◽  
Pid Control ◽  
Navigation System ◽  
Vehicle Navigation ◽  
Vehicle Navigation System

Research on Improvement Road Impedance Function Based on Vehicle Navigation System

2013 ◽  
Vol 659 ◽  
pp. 45-48
Author(s):  
Rui Wang ◽  
Zai Tang Wang
Keyword(s):  
Path Planning ◽  
Navigation System ◽  
Vehicle Navigation ◽  
Impedance Function ◽  
Vehicle Navigation System ◽  
Navigation Path ◽  
Planning Algorithm ◽  
Improved Model ◽  
Path Planning Algorithm ◽  
Impedance Functions

Comparing with some widely used road impedance functions, this paper choose BPR model as base model of improvement, and determine the parameter of BPR model. We apply the improved model to vehicle navigation system in the path planning algorithm, and experiments proved that the model satisfies navigation path planning requirement and have universal performance.

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