Publication Type : Book Chapter
Thematic Areas : TIFAC-CORE in Cyber Security
Publisher : Intelligent Computing, Communication and Devices: Proceedings of ICCD 2014, Volume 1
Source : Intelligent Computing, Communication and Devices: Proceedings of ICCD 2014, Volume 1, Springer India, Number 308, New Delhi, p.643–649 (2015)
Url : http://dx.doi.org/10.1007/978-81-322-2012-1_69
ISBN : 9788132220121
Keywords : Histogram of depth frame, Object recognition, obstacle avoidance, SURF
Campus : Coimbatore
School : Centre for Cybersecurity Systems and Networks, School of Engineering
Center : TIFAC CORE in Cyber Security
Department : Computer Science, cyber Security
Year : 2015
Abstract : This article describes the development of an autonomous navigation system for mobile robots which can be used in unstructured and unknown indoor environment. Histogram of the range data captured using Kinect is utilized in developing the obstacle avoidance algorithm which avoids the static and dynamic obstacles. In addition to this, an object recognition task is also carried out by the robot using SURF algorithm. Once the object is recognized, it sends that information to the remote workstation through wireless communication.
Cite this Research Publication : A. Velayudhan and Dr. Gireesh K. T., “An Autonomous Obstacle Avoiding and Target Recognition Robotic System Using Kinect”, in Intelligent Computing, Communication and Devices: Proceedings of ICCD 2014, Volume 1, L. C. Jain, Patnaik, S., and Ichalkaranje, N., Eds. New Delhi: Springer India, 2015, pp. 643–649.