3 papers
cs.CV2019
Self-Supervised Flow Estimation using Geometric Regularization with Applications to Camera Image and Grid Map Sequences
Sascha Wirges, Johannes Gräter, Qiuhao Zhang +1
We present a self-supervised approach to estimate flow in camera image and top-view grid map sequences using fully convolutional neural networks in the domain of automated driving.…
cs.RO2018
LIMO: Lidar-Monocular Visual Odometry
Johannes Graeter, Alexander Wilczynski, Martin Lauer
Higher level functionality in autonomous driving depends strongly on a precise motion estimate of the vehicle. Powerful algorithms have been developed. However, their great majorit…
cs.CV2017
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…