Multi-Sensor Fusion Techniques to acquire Obstacle Avoidance Behaviors for Differential Autonomous Mobile Robot
Keywords:
Multi-Sensor Fusion Techniques, Obstacle Avoidance, Autonomous Mobile Robot, Digital Camera, Single Camera Method, Vision Systems.Abstract
Obstacle Detection is the method to find the presence of obstacles, which are in between the path of the robot and the goal location. For obstacle detection many sensors are used. Sensors are the devices which are used for sensing various parameters. In this article different fusion techniques are discussed to acquire the obstacle avoidance behaviors for differential autonomous mobile robot.
References
Izumi K, Watanabe K, Shindo M et al. A Sensor Fusion Technique Using Visual and Ultrasonic Information to Acquire Obstacle Avoidance Behaviors for Quadruped Robots. SICE-ICASE, 2006. International Joint Conference, 18-21 Oct 2006: 5120-25.
Minguez J, Montano L. Nearness Diagram Navigation (ND): a New Real Time Collision Avoidance Approach. IROS 2000, Proceedings, 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2000; 3: 2094-100.
Manjunath TC. Novel design of a wireless communication based automatic surveillance system for detection of suspicious objects. AH-ICI 2009, First Asian Himalayas International Conference on Internet, 3-5 Nov 2009: 1-7.
Changhong FU, Shunxiang WU, Zhifeng LUO et al. Research and design of the differential autonomous mobile robot based on multi- sensor information fusion technology. ICIECS 2009, International Conference on Information Engineering and Computer Science, 19-20 Dec 2009: 1-4.
Trinidad-Garcia G, Saldaa-Gonzalez G, Larios- Gomez M et al. Sailing System Based In Ultrasound And Infrared Applied To A Mobile Robot. 20th International Conference on Electronics, Communications and Computer (CONIELECOMP), 22-24 Feb 2010: 286-89.
Derhgawen AR, Ghose D. Vision Based Obstacle Detection using 3D HSV Histograms. India Conference (INDICON), 2011 Annual IEEE, 16-18 Dec 2011: 1-4.
