Next Article in Journal
Utility of Remotely Sensed Imagery for Assessing the Impact of Salvage Logging after Forest Fires
Next Article in Special Issue
Radiometric and Geometric Analysis of Hyperspectral Imagery Acquired from an Unmanned Aerial Vehicle
Previous Article in Journal
Modeling Species Distribution Using Niche-Based Proxies Derived from Composite Bioclimatic Variables and MODIS NDVI
Previous Article in Special Issue
Radiation Mapping in Post-Disaster Environments Using an Autonomous Helicopter
Remote Sens. 2012, 4(7), 2076-2111; doi:10.3390/rs4072076
Article

Road Target Search and Tracking with Gimballed Vision Sensor on an Unmanned Aerial Vehicle

1,2,* , 1
, 1
 and 1
Received: 17 May 2012; in revised form: 2 July 2012 / Accepted: 4 July 2012 / Published: 12 July 2012
(This article belongs to the Special Issue Unmanned Aerial Vehicles (UAVs) based Remote Sensing)
View Full-Text   |   Download PDF [1660 KB, uploaded 19 June 2014]   |   Browse Figures
Abstract: 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.
Keywords: UAV surveillance; sensor management; path planning; search theory; road target tracking; particle filter; stochastic scheduling; security and monitoring UAV surveillance; sensor management; path planning; search theory; road target tracking; particle filter; stochastic scheduling; security and monitoring
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Skoglar, P.; Orguner, U.; Törnqvist, D.; Gustafsson, F. Road Target Search and Tracking with Gimballed Vision Sensor on an Unmanned Aerial Vehicle. Remote Sens. 2012, 4, 2076-2111.

AMA Style

Skoglar P, Orguner U, Törnqvist D, Gustafsson F. Road Target Search and Tracking with Gimballed Vision Sensor on an Unmanned Aerial Vehicle. Remote Sensing. 2012; 4(7):2076-2111.

Chicago/Turabian Style

Skoglar, Per; Orguner, Umut; Törnqvist, David; Gustafsson, Fredrik. 2012. "Road Target Search and Tracking with Gimballed Vision Sensor on an Unmanned Aerial Vehicle." Remote Sens. 4, no. 7: 2076-2111.


Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert