Paper
13 May 2011 Velocity estimation using optic flow and radar
Steven A. Gerardi, J. Sean Humbert, Leland E. Pierce, Kamal Sarabandi
Author Affiliations +
Abstract
This paper presents the development of a static estimator for obtaining state information from optic flow and radar measurements. It is shown that estimates of translational and rotational speed can be extracted using a least squares inversion. The approach is demonstrated in a simulated three dimensional urban environment on an autonomous quadrotor micro-air-vehicle (MAV). The resulting methodology has the advantages of computation speed and simplicity, both of which are imperative for implementation on MAVs due to stringent size, weight, and power requirements.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Steven A. Gerardi, J. Sean Humbert, Leland E. Pierce, and Kamal Sarabandi "Velocity estimation using optic flow and radar", Proc. SPIE 8031, Micro- and Nanotechnology Sensors, Systems, and Applications III, 803112 (13 May 2011); https://doi.org/10.1117/12.884165
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Radar

Sensors

Micro unmanned aerial vehicles

Optical testing

Error analysis

Visual optics

Visualization

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