3 May 2016 3D environment modeling and location tracking using off-the-shelf components
Author Affiliations +
Abstract
The remarkable popularity of smartphones over the past decade has led to a technological race for dominance in market share. This has resulted in a flood of new processors and sensors that are inexpensive, low power and high performance. These sensors include accelerometers, gyroscope, barometers and most importantly cameras. This sensor suite, coupled with multicore processors, allows a new community of researchers to build small, high performance platforms for low cost. This paper describes a system using off-the-shelf components to perform position tracking as well as environment modeling. The system relies on tracking using stereo vision and inertial navigation to determine movement of the system as well as create a model of the environment sensed by the system.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert H. Luke, Robert H. Luke, } "3D environment modeling and location tracking using off-the-shelf components", Proc. SPIE 9823, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI, 982314 (3 May 2016); doi: 10.1117/12.2225491; https://doi.org/10.1117/12.2225491
PROCEEDINGS
8 PAGES


SHARE
RELATED CONTENT

Computer vision research with new imaging technology
Proceedings of SPIE (December 13 2015)
Epipolar geometry comparison of SAR and optical camera
Proceedings of SPIE (March 01 2016)
ONR 30 autonomous ground system program overview
Proceedings of SPIE (May 04 2017)
Human detection in depth images via two steps
Proceedings of SPIE (August 08 2018)
High-speed vision system based on computer graphics models
Proceedings of SPIE (February 28 1991)
Hand gesture recognition by analysis of codons
Proceedings of SPIE (September 09 2007)

Back to Top