Institut für Geodäsie und Geoinformation (IGG): Search
Now showing items 1-8 of 8
Robot mapping and navigation in real-world environments
(2020)
Robots can perform various tasks, such as mapping hazardous sites, taking part in search-and-rescue scenarios, or delivering goods and people. Robots operating in the real world face many challenges on the way to the ...
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 ...
Hierarchical and spatial structures for interpreting images of man-made scenes using graphical models
(2013)
The task of semantic scene interpretation is to label the regions of an image and their relations into meaningful classes. Such task is a key ingredient to many computer vision applications, including object recognition, ......
Hierarchische und räumliche Strukturen zur Interpretation von Bildern anthropogener Szenen unter Nutzung graphischer Modelle
Ziel der semantischen Bildinterpretation ist es, Bildregionen und ihre ......
Hierarchische und räumliche Strukturen zur Interpretation von Bildern anthropogener Szenen unter Nutzung graphischer Modelle
Ziel der semantischen Bildinterpretation ist es, Bildregionen und ihre ......
Visual Place Recognition in Changing Environments
(2020)
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
(2020)
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 ...
Extrinsic Calibration and Ego-Motion Estimation for Mobile Multi-Sensor Systems
(2020)
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 ...
Sensor fusion for localization of automated vehicles
(2020)
Automated vehicles need to precisely know where they are at all times to be able to make informed driving decisions. Therefore, multiple localization systems are typically installed on such vehicles to provide redundant ...
Active 3D Reconstruction for Mobile Robots
(2020)
Mapping the environment with the purpose of building a 3D model that represents it, is traditionally achieved by trained personnel, using measuring equipment such as cameras or terrestrial laser scanners. This process is ...