Development of an Unmanned Aerial Vehicle Piloting System with Integrated Motion Cueing for Training and Pilot Evaluation

Authors:
James T. Hing;Paul Y. Oh
Affiliations:
Drexel Autonomous Systems Laboratory (DASL), Drexel University, Philadelphia, USA 19104;Drexel Autonomous Systems Laboratory (DASL), Drexel University, Philadelphia, USA 19104
Venue:
Journal of Intelligent and Robotic Systems
Year:
2009

Citing 1
Cited 5

Unmanned Vehicle Controller Design, Evaluation and Implementation: From MATLAB to Printed Circuit Board

Journal of Intelligent and Robotic Systems

Development and Evaluation of a Chase View for UAV Operations in Cluttered Environments

Journal of Intelligent and Robotic Systems
Improving unmanned aerial vehicle pilot training and operation for flying in cluttered environments

IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Unmanned aerial systems: the role of the operator and human factor implications

SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Optical Brain Imaging to Enhance UAV Operator Training, Evaluation, and Interface Development

Journal of Intelligent and Robotic Systems
An indoor study to evaluate a mixed-reality interface for unmanned aerial vehicle operations in near earth environments

Proceedings of the 10th Performance Metrics for Intelligent Systems Workshop

Quantified Score

Hi-index	0.00

Visualization

Abstract

UAV accidents have been steadily rising as demand and use of these vehicles increases. A critical examination of UAV accidents reveals that human error is a major cause. Advanced autonomous systems capable of eliminating the need for human piloting are still many years from implementation. There are also many potential applications of UAVs in near Earth environments that would require a human pilot's awareness and ability to adapt. This suggests a need to improve the remote piloting of UAVs. This paper explores the use of motion platforms to augment pilot performance and the use of a simulator system to asses UAV pilot skill. The approach follows studies on human factors performance and cognitive loading. The resulting design serves as a test bed to study UAV pilot performance, create training programs, and ultimately a platform to decrease UAV accidents.