Johan Vertens

21 papers A* 3A 4C 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2024 — —
Multimodal perception and mapping for autonomous vehicles.
Johan Vertens
2023 A conf
Improving Deep Dynamics Models for Autonomous Vehicles with Multimodal Latent Mapping of Surfaces.
IROS
Johan Vertens, Nicolai Dorka, Tim Welschehold, Michael Thompson, Wolfram Burgard
2023 J jnl
Improving Deep Dynamics Models for Autonomous Vehicles with Multimodal Latent Mapping of Surfaces.
CoRR
Johan Vertens, Nicolai Dorka, Tim Welschehold, Michael Thompson, Wolfram Burgard
2022 A conf
Realistic Real-Time Simulation of RGB and Depth Sensors for Dynamic Scenarios using Augmented Image Based Rendering.
IROS
Johan Vertens, Wolfram Burgard
2022 J jnl
USegScene: Unsupervised Learning of Depth, Optical Flow and Ego-Motion with Semantic Guidance and Coupled Networks.
CoRR
Johan Vertens, Wolfram Burgard
2021 J jnl
Lane Graph Estimation for Scene Understanding in Urban Driving.
CoRR
Jannik Zürn, Johan Vertens, Wolfram Burgard
2021 J jnl
Lane Graph Estimation for Scene Understanding in Urban Driving.
IEEE Robotics Autom. Lett.
Jannik Zürn, Johan Vertens, Wolfram Burgard
2021 J jnl
Long-term vehicle localization in urban environments based on pole landmarks extracted from 3-D lidar scans.
Robotics Auton. Syst.
Alexander Schaefer, Daniel Büscher, Johan Vertens, Lukas Luft, Wolfram Burgard
2020 A conf
HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images.
IROS
Johan Vertens, Jannik Zürn, Wolfram Burgard
2020 J jnl
HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images.
CoRR
Johan Vertens, Jannik Zürn, Wolfram Burgard
2020 A* conf
Learning Object Placements For Relational Instructions by Hallucinating Scene Representations.
ICRA
Oier Mees, Alp Emek, Johan Vertens, Wolfram Burgard
2020 J jnl
Learning Object Placements For Relational Instructions by Hallucinating Scene Representations.
CoRR
Oier Mees, Alp Emek, Johan Vertens, Wolfram Burgard
2019 A* conf
A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans.
ICRA
Alexander Schaefer, Johan Vertens, Daniel Büscher, Wolfram Burgard
2019 J jnl
A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans.
CoRR
Alexander Schaefer, Johan Vertens, Daniel Büscher, Wolfram Burgard
2019 — conf
Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans.
ECMR
Alexander Schaefer, Daniel Büscher, Johan Vertens, Lukas Luft, Wolfram Burgard
2019 J jnl
Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans.
CoRR
Alexander Schaefer, Daniel Büscher, Johan Vertens, Lukas Luft, Wolfram Burgard
2017 A* conf
AdapNet: Adaptive semantic segmentation in adverse environmental conditions.
ICRA
Abhinav Valada, Johan Vertens, Ankit Dhall, Wolfram Burgard
2017 J jnl
From Plants to Landmarks: Time-invariant Plant Localization that uses Deep Pose Regression in Agricultural Fields.
CoRR
Florian Kraemer, Alexander Schaefer, Andreas Eitel, Johan Vertens, Wolfram Burgard
2017 C conf
Perspectives on Deep Multimodel Robot Learning.
ISRR
Wolfram Burgard, Abhinav Valada, Noha Radwan, Tayyab Naseer, Jingwei Zhang, Johan Vertens, Oier Mees, Andreas Eitel, Gabriel L. Oliveira
2017 A conf
SMSnet: Semantic motion segmentation using deep convolutional neural networks.
IROS
Johan Vertens, Abhinav Valada, Wolfram Burgard
2015 — conf
Measuring Respiration and Heart Rate using Two Acceleration Sensors on a Fully Embedded Platform.
icSPORTS
Johan Vertens, Fabian Fischer, Christian Heyde, Fabian Hoeflinger, Rui Zhang, Leonhard M. Reindl, Albert Gollhofer