Now showing items 1-4 of 4
Self-assessing localization and long-term mapping using random finite sets
(Universität Ulm, 2018-12-11)
Localization is the task of estimating the pose of a vehicle. In the present thesis, this is done using a feature-based map of the environment and different kinds of sensors that are able to detect those environmental ...
Random finite set-based localization and SLAM for highly automated vehicles
(Universität Ulm, 2016-06-29)
The majority of research efforts in the automotive community is currently focused on alternative fuel vehicles and highly automated driving. The development of highly automated vehicles is not only promoted by Original ...
Entwicklung von Methoden für die fahrzeugübergreifende Umfelderfassung
(Universität Ulm, 2016-05-24)
Heutige Fahrerassistenzsysteme basieren auf den Daten einer Vielzahl von Sensoren, die i. d. R. ausschließlich im Fahrzeug verbaut sind. Um die Anforderungen zukünftiger Fahrerassistenzsysteme, insbesondere des ...
Fully bayesian vehicle tracking using extended object models
(Universität Ulm, 2019-12-05)
Environment perception systems for automated vehicles and driver assistance systems commonly use radar and lidar sensors as well as cameras for tracking other vehicles. While these sensors exhibit different strengths and ...