Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

In this work we present a system to fully automatically create a highly accurate visual feature map from image data acquired from within a moving vehicle. Moreover, a system for high precision self localization is presented. Furthermore, we present a method to automatically learn a visual descriptor. The map relative self localization is centimeter accurate and allows autonomous driving.

Maschinelles Sehen --- Lokalisierung --- Kartierung --- Autonomes Fahren

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

GNSS is often inaccurate and satellite signals are not always available, which results in ambiguous situations. In order to reduce their negative effects on train-borne localization, this work proposes an approach for the detection of tracks, turnouts, and branching directions solely from 2d lidar sensor measurements. The experimental evaluation shows highly correct and complete results. In summary, these detections are sufficient to reduce ambiguity problems in train-borne localization.

lidar-basierte Eisenbahn-Infrastruktur-Detektion (Schienen --- Gleise --- lidar based railway infrastructure detection (rails --- bordautonome Lokalisierung --- Topologie- und Befahrrichtungserkennung --- determination of topology and branching direction --- train-borne localization --- Weichen) --- turnouts) --- tracks