8 citations · 18 across the 3 of their papers we have counts for
3 papers
cs.RO2018★ 3 cited
Detection and Tracking of General Movable Objects in Large 3D Maps
Nils Bore, Johan Ekekrantz, Patric Jensfelt +1
This paper studies the problem of detection and tracking of general objects with long-term dynamics, observed by a mobile robot moving in a large environment. A key problem is that…
cs.RO2018★ 8 cited
Multiple Object Detection, Tracking and Long-Term Dynamics Learning in Large 3D Maps
Nils Bore, Patric Jensfelt, John Folkesson
In this work, we present a method for tracking and learning the dynamics of all objects in a large scale robot environment. A mobile robot patrols the environment and visits the di…
cs.RO2017★ 7 cited
Unsupervised Object Discovery and Segmentation of RGBD-images
Johan Ekekrantz, Nils Bore, Rares Ambrus +2
In this paper we introduce a system for unsupervised object discovery and segmentation of RGBD-images. The system models the sensor noise directly from data, allowing accurate segm…