Title :
Avoiding negative depth in inverse depth bearing-only SLAM
Author :
Parsley, Martin P. ; Julier, Simon J.
Author_Institution :
Dept. of Comput. Sci., Univ. Coll. London, London
Abstract :
In this paper we consider ways to alleviate negative estimated depth for the inverse depth parameterisation of bearing-only SLAM. This problem, which can arise even if the beacons are far from the platform, can cause catastrophic failure of the filter.We consider three strategies to overcome this difficulty: applying inequality constraints, the use of truncated second order filters, and a reparameterisation using the negative logarithm of depth. We show that both a simple inequality method and the use of truncated second order filters are successful. However, the most robust performance is achieved using the negative log parameterisation.
Keywords :
SLAM (robots); direction-of-arrival estimation; beacons; bearing-only SLAM; inverse depth parameterisation; truncated second order filters; Accuracy; Cameras; Kalman filters; Noise; Robot sensing systems; Uncertainty; Vehicles;
Conference_Titel :
Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International Conference on
Conference_Location :
Nice
Print_ISBN :
978-1-4244-2057-5
DOI :
10.1109/IROS.2008.4651118