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 th...Show MoreMetadata
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.
Date of Conference: 22-26 September 2008
Date Added to IEEE Xplore: 14 October 2008
ISBN Information: