TY - GEN
T1 - Monocular navigation in large scale dynamic environments
AU - Burschka, Darius
N1 - Publisher Copyright:
© 2017. The copyright of this document resides with its authors.
PY - 2017
Y1 - 2017
N2 - We present a processing technique for a robust reconstruction of motion properties for single points in large scale, dynamic environments. We assume that the acquisition camera is moving and that there are other independently moving agents in a large environment, like road scenarios. The separation of direction and magnitude of the reconstructed motion allows for robust reconstruction of the dynamic state of the objects in situations, where conventional binocular systems fail due to a small signal (disparity) from the images due to a constant detection error, and where structure from motion approaches fail due to unobserved motion of other agents between the camera frames. We present the mathematical framework and the sensitivity analysis for the resulting system.
AB - We present a processing technique for a robust reconstruction of motion properties for single points in large scale, dynamic environments. We assume that the acquisition camera is moving and that there are other independently moving agents in a large environment, like road scenarios. The separation of direction and magnitude of the reconstructed motion allows for robust reconstruction of the dynamic state of the objects in situations, where conventional binocular systems fail due to a small signal (disparity) from the images due to a constant detection error, and where structure from motion approaches fail due to unobserved motion of other agents between the camera frames. We present the mathematical framework and the sensitivity analysis for the resulting system.
UR - http://www.scopus.com/inward/record.url?scp=85084014692&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85084014692
T3 - British Machine Vision Conference 2017, BMVC 2017
BT - British Machine Vision Conference 2017, BMVC 2017
PB - BMVA Press
T2 - 28th British Machine Vision Conference, BMVC 2017
Y2 - 4 September 2017 through 7 September 2017
ER -