Paper
1 November 1992 Sensor fusion in a dynamic environment
Author Affiliations +
Proceedings Volume 1828, Sensor Fusion V; (1992) https://doi.org/10.1117/12.131649
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
Abstract
The recent trend towards dynamic vision has led to the need for real-time performance in various vision and control algorithms. Some of the burden placed on algorithms using purely visual input can be lessened using multiple disparate sensors. Research into the integration of information from disparate sensors while moving through an environment has for the main part concentrated on static environments. Moving obstacles complicate tasks such as avoidance and path planning. In this paper we present a system which integrates range and visual sensory inputs for the dynamic analysis of motion within the field of view of an autonomous platform. The approach we follow combines some recently developed neural network motion analysis algorithms with an epipolar plane image technique. We report the results of some experiments on a synthesized visible/range sequence.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Terrance L. Huntsberger "Sensor fusion in a dynamic environment", Proc. SPIE 1828, Sensor Fusion V, (1 November 1992); https://doi.org/10.1117/12.131649
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Cited by 5 scholarly publications.
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KEYWORDS
Environmental sensing

Sensor fusion

Sensors

Algorithm development

Motion analysis

Visualization

Analytical research

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