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Sequential learning using incremental import vector machines for semantic segmentation
(2013)
We propose an innovative machine learning algorithm called incremental import vector machines that is used for classification purposes. The classifier is specifically designed for the task of sequential learning, in which ...
Extrinsic Calibration and Ego-Motion Estimation for Mobile Multi-Sensor Systems
(2018-12-20)
Autonomous robots and vehicles are often equipped with multiple sensors to perform vital tasks such as localization or mapping. The joint system of various sensors with different sensing modalities can often provide better ...
Visual Place Recognition in Changing Environments
(2019-10-10)
Localization is an essential capability of mobile robots and place recognition is an important component of localization. Only having precise localization, robots can reliably plan, navigate and understand the environment ...
Visual Odometry and Sparse Scene Reconstruction for UAVs with a Multi-Fisheye Camera System
(2019-06-13)
Autonomously operating UAVs demand a fast localization for navigation, to actively explore unknown areas and to create maps. For pose estimation, many UAV systems make use of a combination of GPS receivers and inertial ...