Measuring Respiration and Heart Rate using Two Acceleration Sensors on a Fully Embedded Platform. - Johan Vertens; Fabian Fischer 003; Christian Heyde; Fabian Hoeflinger; Rui Zhang 001; Leonhard M. Reindl; Albert Gollhofer (icSPORTS, 2015)

AdapNet: Adaptive semantic segmentation in adverse environmental conditions. - Abhinav Valada; Johan Vertens; Ankit Dhall; Wolfram Burgard (ICRA, 2017)

SMSnet: Semantic motion segmentation using deep convolutional neural networks. - Johan Vertens; Abhinav Valada; Wolfram Burgard (IROS, 2017)

Perspectives on Deep Multimodel Robot Learning. - Wolfram Burgard; Abhinav Valada; Noha Radwan; Tayyab Naseer; Jingwei Zhang 001; Johan Vertens; Oier Mees; Andreas Eitel; Gabriel L. Oliveira (ISRR, 2017)

From Plants to Landmarks: Time-invariant Plant Localization that uses Deep Pose Regression in Agricultural Fields. - Florian Kraemer; Alexander Schaefer; Andreas Eitel; Johan Vertens; Wolfram Burgard (CoRR, 2017)

Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans. - Alexander Schaefer; Daniel Büscher; Johan Vertens; Lukas Luft; Wolfram Burgard (ECMR, 2019)

A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans. - Alexander Schaefer; Johan Vertens; Daniel Büscher; Wolfram Burgard (ICRA, 2019)

Learning Object Placements For Relational Instructions by Hallucinating Scene Representations. - Oier Mees; Alp Emek; Johan Vertens; Wolfram Burgard (ICRA, 2020)

HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images. - Johan Vertens; Jannik Zürn; Wolfram Burgard (IROS, 2020)

Lane Graph Estimation for Scene Understanding in Urban Driving. - Jannik Zürn; Johan Vertens; Wolfram Burgard (IEEE Robotics Autom. Lett., 2021)

Long-term vehicle localization in urban environments based on pole landmarks extracted from 3-D lidar scans. - Alexander Schaefer; Daniel Büscher; Johan Vertens; Lukas Luft; Wolfram Burgard (Robotics Auton. Syst., 2021)

Realistic Real-Time Simulation of RGB and Depth Sensors for Dynamic Scenarios using Augmented Image Based Rendering. - Johan Vertens; Wolfram Burgard (IROS, 2022)

USegScene: Unsupervised Learning of Depth, Optical Flow and Ego-Motion with Semantic Guidance and Coupled Networks. - Johan Vertens; Wolfram Burgard (CoRR, 2022)

Improving Deep Dynamics Models for Autonomous Vehicles with Multimodal Latent Mapping of Surfaces. - Johan Vertens; Nicolai Dorka; Tim Welschehold; Michael Thompson; Wolfram Burgard (IROS, 2023)

Multimodal perception and mapping for autonomous vehicles. - Johan Vertens (2024)