3 citations · 6 across the 7 of their papers we have counts for
13 papers · 1 filter
Geolocation estimation of target vehicles using image processing and geometric computation
Elnaz Namazi, Rudolf Mester, Chaoru Lu +1
Estimating vehicles' locations is one of the key components in intelligent traffic management systems (ITMSs) for increasing traffic scene awareness. Traditionally, stationary sens…
Model-Based Parameter Optimization for Ground Texture Based Localization Methods
Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester
A promising approach to accurate positioning of robots is ground texture based localization. It is based on the observation that visual features of ground images enable fingerprint…
Urban Traffic Surveillance (UTS): A fully probabilistic 3D tracking approach based on 2D detections
Henry Bradler, Adrian Kretz, Rudolf Mester
Urban Traffic Surveillance (UTS) is a surveillance system based on a monocular and calibrated video camera that detects vehicles in an urban traffic scenario with dense traffic on…
Image Inpainting with Learnable Feature Imputation
Håkon Hukkelås, Frank Lindseth, Rudolf Mester
A regular convolution layer applying a filter in the same way over known and unknown areas causes visual artifacts in the inpainted image. Several studies address this issue with f…
Features for Ground Texture Based Localization -- A Survey
Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester
Ground texture based vehicle localization using feature-based methods is a promising approach to achieve infrastructure-free high-accuracy localization. In this paper, we provide t…
Ground Texture Based Localization Using Compact Binary Descriptors
Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester
Ground texture based localization is a promising approach to achieve high-accuracy positioning of vehicles. We present a self-contained method that can be used for global localizat…