Paper
30 August 2004 Image processing and sensor management for autonomous UAV surveillance
Morgan H. Ulvklo, Jonas Nygards, Jorgen M. Karlholm, Per Skoglar
Author Affiliations +
Abstract
This paper describes a framework for image processing and sensor management for an autonomous unmanned airborne surveillance system equipped with infrared and video sensors. Our working hypothesis is that integration of the detection-tracking-classification chain with spatial awareness makes possible intelligent autonomous data acquisition by means of active sensor control. A central part of the framework is a surveillance scene representation, suitable for target tracking, geolocation, and sensor data fusion involving multiple platforms. The representation, based on Simultaneous Localization and Mapping, SLAM, take into account uncertainties associated with sensor data, platform navigation, and prior knowledge. A client/server approach, for on-line adaptable surveillance missions, is introduced. The presented system is designed to simultaneously and autonomously perform the following tasks: provide wide area coverage from multiple viewpoints by means of a step-stare procedure, detect and track multiple stationary and moving ground targets, perform a detailed analysis of detected regions-of-interest, and generate precise target coordinates by means of multi-view geolocation techniques.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Morgan H. Ulvklo, Jonas Nygards, Jorgen M. Karlholm, and Per Skoglar "Image processing and sensor management for autonomous UAV surveillance", Proc. SPIE 5409, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications, (30 August 2004); https://doi.org/10.1117/12.542251
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Sensors

Surveillance

Unmanned aerial vehicles

Target detection

Image processing

Data acquisition

Image sensors

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