PERCEPTION
Object detection of mobile robot using data-mining algorithm
Jin-Seob Lee, Ji‐Wook Kwon, Dongkyoung Chwa, Suk-Kyo Hong
- Year
- 2007
- Citations
- 4
Abstract
This paper proposes a data-mining algorithm for mobile robots in an object detection. It is important that is used to localization and map building. The proposed method uses three algorithms to divide sections. To this end, the laser scanner is used to recognized objects for mobile robots. To control the mobile robots in the researches of collision avoidance, we can recognize approximation of objects. By using data-mining algorithm, the processing speed is faster and more correct. Simulation results are included to demonstrate the validity of the proposed algorithm.
Keywords
Mobile robotComputer scienceRobotObject (grammar)Artificial intelligenceAlgorithmObject detectionCollision avoidanceComputer visionScanner
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