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Road Target Search and Tracking with Gimballed Vision Sensor on an Unmanned Aerial Vehicle
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2012 (English)In: Remote Sensing, ISSN 2072-4292, E-ISSN 2072-4292, Vol. 4, no 7, 2076-2111 p.Article in journal (Refereed) Published
Abstract [en]

This article considers a sensor management problem where a number of road bounded vehicles are monitored by an unmanned aerial vehicle (UAV) with a gimballed vision sensor. The problem is to keep track of all discovered targets and simultaneously search for new targets by controlling the pointing direction of the vision sensor and the motion of the UAV. A planner based on a state-machine is proposed with three different modes; target tracking, known target search, and new target search. A high-level decision maker chooses among these sub-tasks to obtain an overall situational awareness. A utility measure for evaluating the combined search and target tracking performance is also proposed. By using this measure it is possible to evaluate and compare the rewards of updating known targets versus searching for new targets in the same framework. The targets are assumed to be road bounded and the road network information is used both to improve the tracking and sensor management performance. The tracking and search are based on flexible target density representations provided by particle mixtures and deterministic grids.

Place, publisher, year, edition, pages
2012. Vol. 4, no 7, 2076-2111 p.
Keyword [en]
UAV surveillance, Sensor management, Path planning, Search theory, Road target tracking, Particle filter, Stochastic scheduling, Security and monitoring
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-80198DOI: 10.3390/rs4072076ISI: 000306759700011OAI: oai:DiVA.org:liu-80198DiVA: diva2:546133
Projects
CADICSSecurity LinkExtended Target Tracking
Funder
Swedish Research Council
Available from: 2012-08-22 Created: 2012-08-22 Last updated: 2017-12-07Bibliographically approved

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Skoglar, PerOrguner, UmutTörnqvist, DavidGustafsson, Fredrik

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