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Motion Classification and Height Estimation of Pedestrians Using Sparse Radar Data


Mar 03, 2021
Markus Horn, Ole Schumann, Markus Hahn, Jürgen Dickmann, Klaus Dietmayer

* 2018 Sensor Data Fusion: Trends, Solutions, Applications (SDF) 
* 6 pages, 6 figures, 1 table 

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Graph-based Motion Planning for Automated Vehicles using Multi-model Branching and Admissible Heuristics


Feb 15, 2021
Oliver Speidel, Jona Ruof, Klaus Dietmayer


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Online Extrinsic Calibration based on Per-Sensor Ego-Motion Using Dual Quaternions


Jan 27, 2021
Markus Horn, Thomas Wodtko, Michael Buchholz, Klaus Dietmayer

* 8 pages, 6 figures, 2 tables, accepted for RA-L 

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Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection


Dec 18, 2020
Di Feng, Zining Wang, Yiyang Zhou, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka, Wei Zhan


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On-Road Motion Planning for Automated Vehicles at Ulm University


Dec 07, 2020
Maximilian Graf, Oliver Speidel, Jona Ruof, Klaus Dietmayer

* Maximilian Graf and Oliver Speidel contributed equally 

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A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving


Nov 20, 2020
Di Feng, Ali Harakeh, Steven Waslander, Klaus Dietmayer


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Dynamic Occupancy Grid Mapping with Recurrent Neural Networks


Nov 17, 2020
Marcel Schreiber, Vasileios Belagiannis, Claudius Gläser, Klaus Dietmayer

* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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Point Transformer


Nov 02, 2020
Nico Engel, Vasileios Belagiannis, Klaus Dietmayer


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Trajectory Planning for Automated Driving in Intersection Scenarios using Driver Models


Oct 07, 2020
Oliver Speidel, Maximilian Graf, Ankit Kaushik, Thanh Phan-Huu, Andreas Wedel, Klaus Dietmayer

* Accepted on 5th International Conference on Robotics and Automation Engineering 

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Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty


Aug 10, 2020
Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer

* A shorter version of this work is to appear at the Workshop on Perception for Autonomous Driving, 16th European Conference on Computer Vision (ECCV) 2020. Video to this work https://youtu.be/m05HnYietSk 

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DeepCLR: Correspondence-Less Architecture for Deep End-to-End Point Cloud Registration


Jul 22, 2020
Markus Horn, Nico Engel, Vasileios Belagiannis, Michael Buchholz, Klaus Dietmayer

* 7 pages, 5 figures, 4 tables, accepted by ITSC 2020 

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Using Machine Learning to Detect Ghost Images in Automotive Radar


Jul 10, 2020
Florian Kraus, Nicolas Scheiner, Werner Ritter, Klaus Dietmayer


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Kalman Filter Meets Subjective Logic: A Self-Assessing Kalman Filter Using Subjective Logic


Jul 01, 2020
Thomas Griebel, Johannes Müller, Michael Buchholz, Klaus Dietmayer

* Accepted for presentation at the 2020 IEEE 23rd International Conference on Information Fusion (FUSION), July 6 - 9, 2020, Virtual Conference 

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Robust Semantic Segmentation in Adverse Weather Conditions by means of Fast Video-Sequence Segmentation


Jul 01, 2020
Andreas Pfeuffer, Klaus Dietmayer


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Extended Existence Probability Using Digital Maps for Object Verification


Mar 23, 2020
Fabian Gies, Joachim Posselt, Michael Buchholz, Klaus Dietmayer


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Uncertainty depth estimation with gated images for 3D reconstruction


Mar 11, 2020
Stefanie Walz, Tobias Gruber, Werner Ritter, Klaus Dietmayer


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Inferring Spatial Uncertainty in Object Detection


Mar 07, 2020
Zining Wang, Di Feng, Yiyang Zhou, Wei Zhan, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka


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Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving


Feb 01, 2020
Di Feng, Yifan Cao, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer


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Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar


Dec 13, 2019
Nicolas Scheiner, Florian Kraus, Fangyin Wei, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, Jürgen Dickmann, Klaus Dietmayer, Bernhard Sick, Felix Heide

* First three authors contributed equally 

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Learning Super-resolved Depth from Active Gated Imaging


Dec 05, 2019
Tobias Gruber, Mariia Kokhova, Werner Ritter, Norbert Haala, Klaus Dietmayer

* Published in: 2018 21st International Conference on Intelligent Transportation Systems (ITSC) 

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Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving


Sep 26, 2019
Di Feng, Lars Rosenbaum, Claudius Glaeser, Fabian Timm, Klaus Dietmayer

* To appear in IROS 2019 

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Motion Estimation in Occupancy Grid Maps in Stationary Settings Using Recurrent Neural Networks


Sep 25, 2019
Marcel Schreiber, Vasileios Belagiannis, Claudius Glaeser, Klaus Dietmayer

* 7 pages, 6 figures 

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Towards Courteous Behavior and Trajectory Planning for Automated Driving


Jul 23, 2019
Oliver Speidel, Maximilian Graf, Thanh Phan-Huu, Klaus Dietmayer

* Accepted for publication by IEEE Intelligent Transportation Systems Conference (ITSC 2019) Auckland, New Zealand 

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Separable Convolutional LSTMs for Faster Video Segmentation


Jul 16, 2019
Andreas Pfeuffer, Klaus Dietmayer

* 2019 22st International Conference on Intelligent Transportation Systems (ITSC) 

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Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios


Jun 21, 2019
Tobias Gruber, Mario Bijelic, Felix Heide, Werner Ritter, Klaus Dietmayer


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Uncertainty Estimation in One-Stage Object Detection


May 24, 2019
Florian Kraus, Klaus Dietmayer


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Robust Semantic Segmentation in Adverse Weather Conditions by means of Sensor Data Fusion


May 24, 2019
Andreas Pfeuffer, Klaus Dietmayer

* 22st International Conference on Information Fusion (FUSION) (2019) 

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Training a Fast Object Detector for LiDAR Range Images Using Labeled Data from Sensors with Higher Resolution


May 08, 2019
Manuel Herzog, Klaus Dietmayer


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Semantic Segmentation of Video Sequences with Convolutional LSTMs


May 03, 2019
Andreas Pfeuffer, Karina Schulz, Klaus Dietmayer

* IEEE Intelligent Vehicles Symposium 2019 (IV'19) 
* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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DeepLocalization: Landmark-based Self-Localization with Deep Neural Networks


Apr 18, 2019
Nico Engel, Stefan Hoermann, Markus Horn, Vasileios Belagiannis, Klaus Dietmayer


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