Paper
12 February 2001 Sensor-based navigation of air duct inspection mobile robots
Kyoungchul Koh, H.J. Choi, Jae-Seon Kim, Kuk Won Ko, Hyungsuck Cho
Author Affiliations +
Proceedings Volume 4190, Optomechatronic Systems; (2001) https://doi.org/10.1117/12.417227
Event: Intelligent Systems and Smart Manufacturing, 2000, Boston, MA, United States
Abstract
12 This paper deals with an image sensor system and its position estimation algorithm for autonomous duct cleaning and inspection mobile robots. For the real application, a hierarchical control structure that consists of robot motion controller and image sensor system is designed considering the efficient and autonomous motion behaviors in narrow space such as air ducts. The sensor's system consists of a CCD camera and two laser sources to generate slit beams. The image of the structured lights is used for calculating the geometric parameters of the air ducts which are usually designed with a rectangular section. With the acquired 3D information about the environment, the mobile robot with two differential driving wheels is able to autonomously navigates along the duct path without any human intervention. For real time navigation, the relative position estimation of the robot are performed from 3D image reconstructed by the sensor system. The calibration and image processing methods used for the sensor system are presented with the experimental data. The experimental results show the possibility of the sensor based navigation which is important for effective duct cleaning by small mobile robots.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kyoungchul Koh, H.J. Choi, Jae-Seon Kim, Kuk Won Ko, and Hyungsuck Cho "Sensor-based navigation of air duct inspection mobile robots", Proc. SPIE 4190, Optomechatronic Systems, (12 February 2001); https://doi.org/10.1117/12.417227
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Cameras

Mobile robots

Sensors

3D image processing

Inspection

Image processing

Image sensors

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