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JRM Vol.29 No.4 pp. 649-659
doi: 10.20965/jrm.2017.p0649
(2017)

Paper:

Autonomous Mobile Robot Searching for Persons with Specific Clothing on Urban Walkway

Ryohsuke Mitsudome, Hisashi Date, Azumi Suzuki, Takashi Tsubouchi, and Akihisa Ohya

University of Tsukuba
1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan

Received:
March 8, 2017
Accepted:
June 4, 2017
Published:
August 20, 2017
Keywords:
mobile robot, object recognition, neural network, Tsukuba Challenge
Abstract
Autonomous Mobile Robot Searching for Persons with Specific Clothing on Urban Walkway

Recognized target person using proposed method

In order for a robot to provide service in a real world environment, it has to navigate safely and recognize the surroundings. We have participated in Tsukuba Challenge to develop a robot with robust navigation and accurate object recognition capabilities. To achieve navigation, we have introduced the ROS packages, and the robot was able to navigate without major collisions throughout the challenge. For object recognition, we used both a laser scanner and camera to recognize a person in specific clothing, in real time and with high accuracy. In this paper, we evaluate the accuracy of recognition and discuss how it can be improved.

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Last updated on Sep. 21, 2017