Paper
14 December 2015 GPS free navigation inspired by insects through monocular camera and inertial sensors
Author Affiliations +
Proceedings Volume 9812, MIPPR 2015: Automatic Target Recognition and Navigation; 98120I (2015) https://doi.org/10.1117/12.2205564
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China
Abstract
Navigation without GPS and other knowledge of environment have been studied for many decades. Advance technology have made sensors more compact and subtle that can be easily integrated into micro and hand-hold device. Recently researchers found that bee and fruit fly have an effectively and efficiently navigation mechanism through optical flow information and process only with their miniature brain. We present a navigation system inspired by the study of insects through a calibrated camera and other inertial sensors. The system utilizes SLAM theory and can be worked in many GPS denied environment. Simulation and experimental results are presented for validation and quantification.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yi Liu, J. G. Liu, H. Cao, and Y. Huang "GPS free navigation inspired by insects through monocular camera and inertial sensors", Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 98120I (14 December 2015); https://doi.org/10.1117/12.2205564
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KEYWORDS
Cameras

Sensors

Optical flow

Global Positioning System

Filtering (signal processing)

Visualization

Calibration

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