An Autonomous Vision System Based Sensor-Motor Coordination for Mobile Robot Navigation in an Outdoor Environment

2019 ◽  
pp. 311-328
Author(s):  
Xiaochun Wang ◽  
Xiali Wang ◽  
Don Mitchell Wilkes
Keyword(s):  
Mobile Robot ◽  
Motor Coordination ◽  
Robot Navigation ◽  
Vision System ◽  
Outdoor Environment ◽  
Mobile Robot Navigation

scholarly journals 3 Bio-Mimetic Vision System For Autonomous Mobile Robot Navigation

2013 ◽  
Vol 3 (1) ◽  
pp. 4
Author(s):  
Muhammad Safwan ◽  
Muhammad Yasir Zaheen ◽  
M. Anwar Ahmed ◽  
Muhammad Shujaat Kamal ◽  
Raj Kumar
Keyword(s):  
Mobile Robot ◽  
Obstacle Avoidance ◽  
Stereo Vision ◽  
Robot Navigation ◽  
Vision System ◽  
Experimental Results ◽  
Mobile Robot Navigation ◽  
Absolute Difference ◽  
Autonomous Mobile Robot ◽  
Dc Motors

Bio-Mimetic Vision System (BMVS) for AutonomousMobile Robot Navigation encompasses three major fields, namelyrobotics, navigation and obstacle avoidance. Bio-mimetic vision isbased on stereo vision. Summation of Absolute Difference (SAD)is applied on the images from the two cameras and disparity mapis generated which is then used to navigate and avoid obstacles.Camera calibration and SAD is applied on Matlab software.AT89C52 microcontroller, along with Matlab, is used to efficientlycontrol the DC motors mounted on the robot frame. It is observedfrom experimental results that the developed system effectivelydistinguishes objects at different distances and avoids them whenthe path is blocked.

scholarly journals Mobile Robot Navigation by a Distributed Vision System.

1999 ◽  
Vol 17 (7) ◽  
pp. 1009-1016 ◽  
Author(s):  
Takushi Sogo ◽  
Katsumi Kimoto ◽  
Hiroshi Ishiguro ◽  
Toru Ishida
Keyword(s):  
Mobile Robot ◽  
Robot Navigation ◽  
Vision System ◽  
Mobile Robot Navigation ◽  
Distributed Vision System ◽  
Distributed Vision

Mobile robot navigation by a Distributed Vision System

2001 ◽  
Vol 19 (2) ◽  
pp. 121-137 ◽  
Author(s):  
Takushi Sogo ◽  
Hiroshi Ishiguro ◽  
Toru Ishida
Keyword(s):  
Mobile Robot ◽  
Robot Navigation ◽  
Vision System ◽  
Mobile Robot Navigation ◽  
Distributed Vision System ◽  
Distributed Vision

A two-layered subgoal based mobile robot navigation algorithm with vision system and IR sensors

Measurement ◽  
2011 ◽  
Vol 44 (4) ◽  
pp. 620-641 ◽  
Author(s):  
N. Nirmal Singh ◽  
Avishek Chatterjee ◽  
Amitava Chatterjee ◽  
Anjan Rakshit
Keyword(s):  
Mobile Robot ◽  
Robot Navigation ◽  
Vision System ◽  
Mobile Robot Navigation ◽  
Navigation Algorithm ◽  
Ir Sensors

scholarly journals Object learning and detection using evolutionary deformable models for mobile robot navigation

Robotica ◽  
2008 ◽  
Vol 26 (1) ◽  
pp. 99-107 ◽  
Author(s):  
M. Mata ◽  
J. M. Armingol ◽  
J. Fernández ◽  
A. de la Escalera
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Mobile Robot ◽  
Robot Navigation ◽  
Vision System ◽  
Deformable Models ◽  
Mobile Robot Navigation ◽  
Detailed Model ◽  
Symbolic Information ◽  
Object Learning

SUMMARYDeformable models have been studied in image analysis over the last decade and used for recognition of flexible or rigid templates under diverse viewing conditions. This article addresses the question of how to define a deformable model for a real-time color vision system for mobile robot navigation. Instead of receiving the detailed model definition from the user, the algorithm extracts and learns the information from each object automatically. How well a model represents the template that exists in the image is measured by an energy function. Its minimum corresponds to the model that best fits with the image and it is found by a genetic algorithm that handles the model deformation. At a later stage, if there is symbolic information inside the object, it is extracted and interpreted using a neural network. The resulting perception module has been integrated successfully in a complex navigation system. Various experimental results in real environments are presented in this article, showing the effectiveness and capacity of the system.

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