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Proceedings Paper

Unsynchronized scanning with a low-cost laser range finder for real-time range imaging
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Paper Abstract

Range imaging plays an essential role in many fields: 3D modeling, robotics, heritage, agriculture, forestry, reverse engineering. One of the most popular range-measuring technologies is laser scanner due to its several advantages: long range, high precision, real-time measurement capabilities, and no dependence on lighting conditions. However, laser scanners are very costly. Their high cost prevents widespread use in applications. Due to the latest developments in technology, now, low-cost, reliable, faster, and light-weight 1D laser range finders (LRFs) are available. A low-cost 1D LRF with a scanning mechanism, providing the ability of laser beam steering for additional dimensions, enables to capture a depth map. In this work, we present an unsynchronized scanning with a low-cost LRF to decrease scanning period and reduce vibrations caused by stop-scan in synchronized scanning. Moreover, we developed an algorithm for alignment of unsynchronized raw data and proposed range image post-processing framework. The proposed technique enables to have a range imaging system for a fraction of the price of its counterparts. The results prove that the proposed method can fulfill the need for a low-cost laser scanning for range imaging for static environments because the most significant limitation of the method is the scanning period which is about 2 minutes for 55,000 range points (resolution of 250x220 image). In contrast, scanning the same image takes around 4 minutes in synchronized scanning. Once faster, longer range, and narrow beam LRFs are available, the methods proposed in this work can produce better results.

Paper Details

Date Published: 26 June 2017
PDF: 15 pages
Proc. SPIE 10332, Videometrics, Range Imaging, and Applications XIV, 103320D (26 June 2017); doi: 10.1117/12.2268330
Show Author Affiliations
Isa Hatipoglu, The Univ. of Alabama at Birmingham (United States)
Arie Nakhmani, The Univ. of Alabama at Birmingham (United States)


Published in SPIE Proceedings Vol. 10332:
Videometrics, Range Imaging, and Applications XIV
Fabio Remondino; Mark R. Shortis, Editor(s)

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