Johan Vertens

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 19

Top Topics

Urban Environments

Scene Understanding

Semantic Segmentation

Autonomous Vehicles

Top Venues

IEEE Robotics Autom. Lett.

Publications

Johan Vertens, Nicolai Dorka, Tim Welschehold, Michael Thompson, Wolfram Burgard
Improving Deep Dynamics Models for Autonomous Vehicles with Multimodal Latent Mapping of Surfaces. IROS (2023)
Johan Vertens, Nicolai Dorka, Tim Welschehold, Michael Thompson, Wolfram Burgard
Improving Deep Dynamics Models for Autonomous Vehicles with Multimodal Latent Mapping of Surfaces. CoRR (2023)
Johan Vertens, Wolfram Burgard
Realistic Real-Time Simulation of RGB and Depth Sensors for Dynamic Scenarios using Augmented Image Based Rendering. IROS (2022)
Johan Vertens, Wolfram Burgard
USegScene: Unsupervised Learning of Depth, Optical Flow and Ego-Motion with Semantic Guidance and Coupled Networks. CoRR (2022)
Jannik Zürn, Johan Vertens, Wolfram Burgard
Lane Graph Estimation for Scene Understanding in Urban Driving. IEEE Robotics Autom. Lett. 6 (4) (2021)
Jannik Zürn, Johan Vertens, Wolfram Burgard
Lane Graph Estimation for Scene Understanding in Urban Driving. CoRR (2021)
Alexander Schaefer, Daniel Büscher, Johan Vertens, Lukas Luft, Wolfram Burgard
Long-term vehicle localization in urban environments based on pole landmarks extracted from 3-D lidar scans. Robotics Auton. Syst. 136 (2021)
Oier Mees, Alp Emek, Johan Vertens, Wolfram Burgard
Learning Object Placements For Relational Instructions by Hallucinating Scene Representations. ICRA (2020)
Oier Mees, Alp Emek, Johan Vertens, Wolfram Burgard
Learning Object Placements For Relational Instructions by Hallucinating Scene Representations. CoRR (2020)
Johan Vertens, Jannik Zürn, Wolfram Burgard
HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images. CoRR (2020)
Johan Vertens, Jannik Zürn, Wolfram Burgard
HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images. IROS (2020)
Alexander Schaefer, Johan Vertens, Daniel Büscher, Wolfram Burgard
A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans. ICRA (2019)
Alexander Schaefer, Daniel Büscher, Johan Vertens, Lukas Luft, Wolfram Burgard
Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans. ECMR (2019)
Alexander Schaefer, Johan Vertens, Daniel Büscher, Wolfram Burgard
A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans. CoRR (2019)
Alexander Schaefer, Daniel Büscher, Johan Vertens, Lukas Luft, Wolfram Burgard
Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans. CoRR (2019)
Wolfram Burgard, Abhinav Valada, Noha Radwan, Tayyab Naseer, Jingwei Zhang, Johan Vertens, Oier Mees, Andreas Eitel, Gabriel L. Oliveira
Perspectives on Deep Multimodel Robot Learning. ISRR (2017)
Abhinav Valada, Johan Vertens, Ankit Dhall, Wolfram Burgard
AdapNet: Adaptive semantic segmentation in adverse environmental conditions. ICRA (2017)
Johan Vertens, Abhinav Valada, Wolfram Burgard
SMSnet: Semantic motion segmentation using deep convolutional neural networks. IROS (2017)
Florian Kraemer, Alexander Schaefer, Andreas Eitel, Johan Vertens, Wolfram Burgard
From Plants to Landmarks: Time-invariant Plant Localization that uses Deep Pose Regression in Agricultural Fields. CoRR (2017)
Johan Vertens, Fabian Fischer, Christian Heyde, Fabian Hoeflinger, Rui Zhang, Leonhard M. Reindl, Albert Gollhofer
Measuring Respiration and Heart Rate using Two Acceleration Sensors on a Fully Embedded Platform. icSPORTS (2015)