Towards combining UAV and sensor operator roles in UAV-enabled visual search
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
On using mixed-initiative control: a perspective for managing large-scale robotic teams
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
Bio-inspired visual attention in agile sensing for target detection
International Journal of Sensor Networks
A human eye like perspective for remote vision
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
UAV intelligent path planning for wilderness search and rescue
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
UAV video coverage quality maps and prioritized indexing for wilderness search and rescue
Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction
Computational & Mathematical Organization Theory
Online anomaly detection in unmanned vehicles
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Search and pursuit-evasion in mobile robotics
Autonomous Robots
Gaze-contingent enhancements for a visual search and rescue task
Proceedings of the ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization
Color anomaly detection and suggestion for wilderness search and rescue
HRI '12 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
An interface for visual inspection based on image segmentation
Proceedings of the International Working Conference on Advanced Visual Interfaces
Communication of intent in assistive free flyers
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
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Wilderness Search and Rescue (WiSAR) entails searching over large regions in often rugged remote areas. Because of the large regions and potentially limited mobility of ground searchers, WiSAR is an ideal application for using small (human-packable) unmanned aerial vehicles (UAVs) to provide aerial imagery of the search region. This paper presents a brief analysis of the WiSAR problem with emphasis on practical aspects of visual-based aerial search. As part of this analysis, we present and analyze a generalized contour search algorithm, and relate this search to existing coverage searches. Extending beyond laboratory analysis, lessons from field trials with search and rescue personnel indicated the immediate need to improve two aspects of UAV-enabled search: How video information is presented to searchers and how UAV technology is integrated into existing WiSAR teams. In response to the first need, three computer vision algorithms for improving video display presentation are compared; results indicate that constructing temporally localized image mosaics is more useful than stabilizing video imagery. In response to the second need, a goal-directed task analysis of the WiSAR domain was conducted and combined with field observations to identify operational paradigms and field tactics for coordinating the UAV operator, the payload operator, the mission manager, and ground searchers. © 2008 Wiley Periodicals, Inc.