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