1 citations · 1 across the 2 of their papers we have counts for
4 papers
Localization in Aerial Imagery with Grid Maps using LocGAN
Haohao Hu, Junyi Zhu, Sascha Wirges +1
In this work, we present LocGAN, our localization approach based on a geo-referenced aerial imagery and LiDAR grid maps. Currently, most self-localization approaches relate the cur…
Momo: Monocular Motion Estimation on Manifolds
Johannes Graeter, Tobias Strauss, Martin Lauer
Knowledge about the location of a vehicle is indispensable for autonomous driving. In order to apply global localisation methods, a pose prior must be known which can be obtained f…
Pedestrian Prediction by Planning using Deep Neural Networks
Eike Rehder, Florian Wirth, Martin Lauer +1
Accurate traffic participant prediction is the prerequisite for collision avoidance of autonomous vehicles. In this work, we predict pedestrians by emulating their own motion plann…
Guided Depth Upsampling for Precise Mapping of Urban Environments
Sascha Wirges, Björn Roxin, Eike Rehder +2
We present an improved model for MRF-based depth upsampling, guided by image- as well as 3D surface normal features. By exploiting the underlying camera model we define a novel reg…