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Proceedings Paper

Optimized design of a LED-array-based TOF range imaging sensor for fast 3-D shape measurement
Author(s): Huanqin Wang; Ying Wang; Jun Xu; Deyong He; Tianpeng Zhao; Hai Ming; Deyi Kong
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Paper Abstract

A LED-array-based range imaging sensor using Time-of-Flight (TOF) distance measurement was developed to capture the depth information of three-dimensional (3-D) object. By time-division electronic scanning of the LED heterodyne phase-shift TOF range finders in array, the range images were fast obtained without any mechanical moving parts. The design of LED-array-based range imaging sensor was adequately described and a range imaging theoretical model based on photoelectric signal processing was built, which showed there was mutual restriction relationship among the measurement time of a depth pixel, the bandwidth of receiver and the sensor's signal-to-noise ratio (SNR). In order to improve the key parameters of sensor such as range resolution and measurement speed simultaneously, some optimized designs needed to be done for the proposed range imaging sensor, including choosing proper parameters for the filters in receiver, adopting special structure feedback automatic gain control (AGC) circuit with short response time, etc. The final experiment results showed the sensor after optimization could acquire the range images at a rate of 10 frames per second with a range resolution as high as ±2mm in the range of 50-1200mm. The essential advantages of the proposed range imaging sensor were construction with simple structure, high range resolution, short measurement time and low cost, which was sufficient for many robotic and industrial automation applications.

Paper Details

Date Published: 20 August 2011
PDF: 10 pages
Proc. SPIE 8192, International Symposium on Photoelectronic Detection and Imaging 2011: Laser Sensing and Imaging; and Biological and Medical Applications of Photonics Sensing and Imaging, 81922R (20 August 2011); doi: 10.1117/12.900747
Show Author Affiliations
Huanqin Wang, Institute of Intelligent Machines (China)
Ying Wang, Shangqiu Vocational Technology College (China)
Jun Xu, Univ. of Science and Technology of China (China)
Deyong He, Univ. of Science and Technology of China (China)
Tianpeng Zhao, Univ. of Science and Technology of China (China)
Hai Ming, Univ. of Science and Technology of China (China)
Deyi Kong, Institute of Intelligent Machines (China)


Published in SPIE Proceedings Vol. 8192:
International Symposium on Photoelectronic Detection and Imaging 2011: Laser Sensing and Imaging; and Biological and Medical Applications of Photonics Sensing and Imaging
Farzin Amzajerdian; Weibiao Chen; Chunqing Gao; Tianyu Xie, Editor(s)

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