DocumentCode :
3297617
Title :
Performance evaluation method for environment recognition of mobile robot employing video database
Author :
Hyuna Kim ; Bowon Jung ; Okkyung Choi ; Seungbin Moon
Author_Institution :
Dept. of Comput. Eng., Sejong Univ., Seoul, South Korea
fYear :
2013
fDate :
12-14 Dec. 2013
Firstpage :
2755
Lastpage :
2758
Abstract :
It is needed to evaluate how well the robot recognizes its environments while it is moving along the path to perform intended tasks. In general, the behavioral patterns of robot when it encounters sudden obstacles in a given environment may depend upon the obstacle avoidance algorithms that are programmed into the robot. In order to evaluate the performance of the environment recognition, we constructed the video image database sets which are photographed by both color image and depth image. We showed that the proposed performance evaluation method could be utilized effectively in evaluating the recognition performance of a robot.
Keywords :
collision avoidance; image colour analysis; mobile robots; object recognition; robot vision; video databases; color image; depth image; environment recognition; mobile robot; obstacle avoidance algorithms; performance evaluation method; robot behavioral patterns; video image database; Computer vision; Image databases; Image recognition; Performance evaluation; Robot sensing systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2013 IEEE International Conference on
Conference_Location :
Shenzhen
Type :
conf
DOI :
10.1109/ROBIO.2013.6739891
Filename :
6739891
Link To Document :
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