activity
20162023
most citedGround Texture Based Localization Using Compact Binary Descriptors

11 citations · 24 across the 14 of their papers we have counts for

collaborators

18 papers

cs.CV2023

RGB-D Mapping and Tracking in a Plenoxel Radiance Field

Andreas L. Teigen, Yeonsoo Park, Annette Stahl +1

The widespread adoption of Neural Radiance Fields (NeRFs) have ensured significant advances in the domain of novel view synthesis in recent years. These models capture a volumetric…

cs.CV2022

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…

cs.CV2022★ 3 cited

Realistic Full-Body Anonymization with Surface-Guided GANs

Håkon Hukkelås, Morten Smebye, Rudolf Mester +1

Recent work on image anonymization has shown that generative adversarial networks (GANs) can generate near-photorealistic faces to anonymize individuals. However, scaling up these…

cs.CV2021★ 1 cited

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…

cs.CV2021

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…

cs.CV2020

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…