no code implementations • 21 Mar 2023 • Johan Vertens, Nicolai Dorka, Tim Welschehold, Michael Thompson, Wolfram Burgard
By training everything end-to-end with the loss of the dynamics model, we enforce the latent mapper to learn an update rule for the latent map that is useful for the subsequent dynamics model.
no code implementations • 15 Jul 2022 • Johan Vertens, Wolfram Burgard
In this paper we propose USegScene, a framework for semantically guided unsupervised learning of depth, optical flow and ego-motion estimation for stereo camera images using convolutional neural networks.
1 code implementation • 1 May 2021 • Jannik Zürn, Johan Vertens, Wolfram Burgard
Lane-level scene annotations provide invaluable data in autonomous vehicles for trajectory planning in complex environments such as urban areas and cities.
Ranked #2 on Lane Detection on nuScenes
no code implementations • 10 Mar 2020 • Johan Vertens, Jannik Zürn, Wolfram Burgard
We avoid the expensive annotation of nighttime images by leveraging an existing daytime RGB-dataset and propose a teacher-student training approach that transfers the dataset's knowledge to the nighttime domain.
2 code implementations • 23 Jan 2020 • Oier Mees, Alp Emek, Johan Vertens, Wolfram Burgard
One particular requirement for such robots is that they are able to understand spatial relations and can place objects in accordance with the spatial relations expressed by their user.
1 code implementation • 23 Oct 2019 • Alexander Schaefer, Daniel Büscher, Johan Vertens, Lukas Luft, Wolfram Burgard
Due to their ubiquity and long-term stability, pole-like objects are well suited to serve as landmarks for vehicle localization in urban environments.
1 code implementation • 23 Oct 2019 • Alexander Schaefer, Johan Vertens, Daniel Büscher, Wolfram Burgard
Whether it is object detection, model reconstruction, laser odometry, or point cloud registration: Plane extraction is a vital component of many robotic systems.
no code implementations • 14 Sep 2017 • Florian Kraemer, Alexander Schaefer, Andreas Eitel, Johan Vertens, Wolfram Burgard
Agricultural robots are expected to increase yields in a sustainable way and automate precision tasks, such as weeding and plant monitoring.