Skip to main content

Research Vision-Guided Robot for Obstacle Avoidance of Information Fusion in the Unstructured Environment

Buy Article:

$113.00 plus tax (Refund Policy)

Abstract:

To obtain better the navigation results of autonomous mobile robot in the unstructured environment, the authors proposed a new method based on vision-guided information and ultrasonic sensor system. Firstly, the mobile robot platform was developed. It included structure design with kinematics analysis, the structure and transplant of embedded control system and ultrasonic ranging system. Secondly, the method of adaptive weighted fusion estimation was used to construct the sensor system model and several sensors' information was fused with D-S evidence theory. Finally, the obstacle avoidance trajectory proposed here is insensitive to noise, adaptable and highly accurate. The tiny change of single sensor can be filtrated and the remarkable change can be magnified with the multi-sensor information fusion algorithm. This was verified by experiments on both simulation test and practicality experiment.

Keywords: D-S EVIDENCE THEORY; MOBILE ROBOT; MULTI-SENSOR FUSION; VISION NAVIGATION

Document Type: Research Article

DOI: http://dx.doi.org/10.1166/sl.2011.1537

Publication date: October 1, 2011

More about this publication?
  • The growing interest and activity in the field of sensor technologies requires a forum for rapid dissemination of important results: Sensor Letters is that forum. Sensor Letters offers scientists, engineers and medical experts timely, peer-reviewed research on sensor science and technology of the highest quality. Sensor Letters publish original rapid communications, full papers and timely state-of-the-art reviews encompassing the fundamental and applied research on sensor science and technology in all fields of science, engineering, and medicine. Highest priority will be given to short communications reporting important new scientific and technological findings.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Terms & Conditions
  • ingentaconnect is not responsible for the content or availability of external websites
asp/senlet/2011/00000009/00000005/art00074
dcterms_title,dcterms_description,pub_keyword
6
5
20
40
5

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more