Title :
Determining the Time Delay Between Inertial and Visual Sensor Measurements
Author :
Kelly, J. ; Roy, N. ; Sukhatme, G.S.
Author_Institution :
Space & Terrestrial Autonomous Robotic Syst. Lab., Univ. of Toronto, Toronto, ON, Canada
Abstract :
We examine the problem of determining the relative time delay between IMU and camera data streams. The primary difficulty is that the correspondences between measurements from the sensors are not initially known, and hence, the time delay cannot be computed directly. We instead formulate time delay calibration as a registration problem, and introduce a calibration algorithm that operates by aligning curves in a three-dimensional orientation space. Results from simulation studies and from experiments with real hardware demonstrate that the delay can be accurately calibrated.
Keywords :
calibration; cameras; delays; inertial navigation; sensors; IMU; camera data streams; inertial sensor measurements; registration problem; three-dimensional orientation space; time delay; visual sensor measurements; Calibration; Computer vision; Navigation; Robot sensing systems; Sensor fusion; Time measurement; Aided navigation; calibration and identification; computer vision; inertial sensing; sensor fusion;
Journal_Title :
Robotics, IEEE Transactions on
DOI :
10.1109/TRO.2014.2343073