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ORCIDJohan Vertens
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2020 – today
- 2024
[b1]Johan Vertens:
Multimodal perception and mapping for autonomous vehicles. University of Freiburg, Freiburg im Breisgau, Germany, 2024, pp. 1-158- 2023
- [c10]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: 4299-4306 - [i8]Johan Vertens, Nicolai Dorka, Tim Welschehold, Michael Thompson, Wolfram Burgard:
Improving Deep Dynamics Models for Autonomous Vehicles with Multimodal Latent Mapping of Surfaces. CoRR abs/2303.11756 (2023) - 2022
- [c9]Johan Vertens, Wolfram Burgard:
Realistic Real-Time Simulation of RGB and Depth Sensors for Dynamic Scenarios using Augmented Image Based Rendering. IROS 2022: 8181-8188 - [i7]Johan Vertens, Wolfram Burgard:
USegScene: Unsupervised Learning of Depth, Optical Flow and Ego-Motion with Semantic Guidance and Coupled Networks. CoRR abs/2207.07469 (2022) - 2021
- [j2]Jannik Zürn
, Johan Vertens, Wolfram Burgard:
Lane Graph Estimation for Scene Understanding in Urban Driving. IEEE Robotics Autom. Lett. 6(4): 8615-8622 (2021) - [j1]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: 103709 (2021) - [i6]Jannik Zürn, Johan Vertens, Wolfram Burgard:
Lane Graph Estimation for Scene Understanding in Urban Driving. CoRR abs/2105.00195 (2021) - 2020
- [c8]Oier Mees, Alp Emek, Johan Vertens, Wolfram Burgard:
Learning Object Placements For Relational Instructions by Hallucinating Scene Representations. ICRA 2020: 94-100 - [c7]Johan Vertens, Jannik Zürn, Wolfram Burgard:
HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images. IROS 2020: 8461-8468 - [i5]Oier Mees, Alp Emek, Johan Vertens, Wolfram Burgard:
Learning Object Placements For Relational Instructions by Hallucinating Scene Representations. CoRR abs/2001.08481 (2020) - [i4]Johan Vertens, Jannik Zürn, Wolfram Burgard:
HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images. CoRR abs/2003.04645 (2020)
2010 – 2019
- 2019
- [c6]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: 1-7 - [c5]Alexander Schaefer, Johan Vertens, Daniel Büscher, Wolfram Burgard:
A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans. ICRA 2019: 72-78 - [i3]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 abs/1910.10550 (2019) - [i2]Alexander Schaefer, Johan Vertens, Daniel Büscher, Wolfram Burgard:
A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans. CoRR abs/1910.11146 (2019) - 2017
- [c4]Abhinav Valada, Johan Vertens, Ankit Dhall, Wolfram Burgard:
AdapNet: Adaptive semantic segmentation in adverse environmental conditions. ICRA 2017: 4644-4651 - [c3]Johan Vertens, Abhinav Valada, Wolfram Burgard:
SMSnet: Semantic motion segmentation using deep convolutional neural networks. IROS 2017: 582-589 - [c2]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: 17-24 - [i1]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 abs/1709.04751 (2017) - 2015
- [c1]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: 15-23
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