3 papers
cs.RO2022
Fully-probabilistic Terrain Modelling with Stochastic Variational Gaussian Process Maps
Ignacio Torroba, Christopher Illife Sprague, John Folkesson
Gaussian processes (GPs) are becoming a standard tool to build terrain representations thanks to their capacity to model map uncertainty. This effectively yields a reliability meas…
cs.RO2020
Towards Autonomous Industrial-Scale Bathymetric Surveying
Ignacio Torrobam Nils Bore, John Folkesson
Both higher efficiency and cost reduction can be gained from automating bathymetric surveying for offshore applications such as pipeline, telecommunication or power cables installa…
cs.RO2020
PointNetKL: Deep Inference for GICP Covariance Estimation in Bathymetric SLAM
Ignacio Torroba, Christopher Iliffe Sprague, Nils Bore +1
Registration methods for point clouds have become a key component of many SLAM systems on autonomous vehicles. However, an accurate estimate of the uncertainty of such registration…