Title :
UAV fall detection from a dynamic perch using Instantaneous Centers of Rotation and inertial sensing
Author :
Crandall, Kyle L. ; Minor, Mark A.
Author_Institution :
Univ. of Utah, Salt Lake City, UT, USA
Abstract :
Much research has been done recently on getting various UAVs to perch on various surfaces, however very little research has looked at how to detect when this perch has failed, especially when the surface the UAV is perched on is moving. This paper proposes a method to detect these types of falls using the Instantaneous Center of Rotation (ICR) of the UAV. Two methods are proposed to calculate this ICR, one based on integrating accelerometers to get velocities at various points on the UAV, the other based on using the magnitude of the acceleration at these points to estimate the distance to the ICR from that point. These methods provide a way to detect a fall from a moving perch that should work with different types of perching mechanisms and perches, while requiring minimal additional hardware on the UAV.
Keywords :
accelerometers; autonomous aerial vehicles; distance measurement; inertial navigation; ICR; UAV fall detection; accelerometer integration; distance estimation; dynamic perching mechanism; inertial sensing; instantaneous centers of rotation; Acceleration; Accelerometers; Gyroscopes; Noise; Robot sensing systems;
Conference_Titel :
Robotics and Automation (ICRA), 2015 IEEE International Conference on
Conference_Location :
Seattle, WA
DOI :
10.1109/ICRA.2015.7139847