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Viset, F.M. (author), Helmons, R.L.J. (author), Kok, M. (author)We present a computationally efficient algorithm for using variations in the ambient magnetic field to compensate for position drift in integrated odometry measurements (dead-reckoning estimates) through simultaneous localization and mapping (SLAM). When the magnetic field map is represented with a reduced-rank Gaussian process (GP) using...journal article 2022
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van Schouwenburg, Sietse (author)Simultaneous Localization And Mapping (SLAM) algorithms provide accurate localization for autonomous vehicles and provide essential information for the path planning module. However, SLAM algorithms as- sume a static environment in order to estimate a location. This assumption influences the pose estimation in dynamic urban environments. The...master thesis 2019
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Horstink, Thomas (author)A fundamental prerequisite for many robot-tasks is the availability of an environment model. The ability of a robot to create such a model itself is crucial to having truly autonomous robots around in our daily lives. For basic robot-tasks, a two-dimensional grid-map that describes a distinction between inhabitable and uninhabitable space is a...master thesis 2017
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Lekkerkerker, C.J. (author)The emerging of mobile robots in everyday life scenarios, such as in the case of domestic care robots, is highly anticipated. Much research has been carried out to make robots more capable of performing tasks in our everyday environments. Despite major progress over the last decades, many hurdles are still to be taken. In the field of robotic...master thesis 2014
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Sirmacek, B. (author), Lindenbergh, R.C. (author), Menenti, M. (author)Fusion of 3D airborne laser (LIDAR) data and terrestrial optical imagery can be applied in 3D urban modeling and model up-dating. The most challenging aspect of the fusion procedure is registering the terrestrial optical images on the LIDAR point clouds. In this article, we propose an approach for registering these two different data from...conference paper 2013