Paper
28 September 2016 System for rugged surface detection based on MEMS inertial sensor signals analysis
Daniel Paczesny, Adrian Ratajczyk, Zbigniew M. Wawrzyniak, Grzegorz Tarapata
Author Affiliations +
Proceedings Volume 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016; 100311L (2016) https://doi.org/10.1117/12.2249459
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 2016, Wilga, Poland
Abstract
The paper reports an application of the accelerometer for the sensing of rugged surface detection. MEMS accelerometers were investigated for steering control of the autonomous floor-cleaning robot to perform cleaning. Accelerometer signals were used to support signals from other ultrasound and vision sensors to detect the type of the floor and distinguish between rough and smooth floor. The main aim of the developed control system for an autonomous robot was to improve the detection of the floor type and investigate the use of the accelerometer for solving this problem. The test results have shown that the proposed system can be equipped with accelerometer sensor and reduce the error detection for floor type during cleaning.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel Paczesny, Adrian Ratajczyk, Zbigniew M. Wawrzyniak, and Grzegorz Tarapata "System for rugged surface detection based on MEMS inertial sensor signals analysis", Proc. SPIE 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 100311L (28 September 2016); https://doi.org/10.1117/12.2249459
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CITATIONS
Cited by 1 scholarly publication and 1 patent.
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KEYWORDS
Sensors

Signal processing

Microelectromechanical systems

Signal detection

Control systems

Data acquisition

Prototyping

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