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Jürgen Dickmann
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- affiliation: Daimler AG, Ulm, Germany
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2020 – today
- 2023
- [j6]Julius F. Tilly
, Fabio Weishaupt
, Ole Schumann
, Jürgen Dickmann, Gerd Wanielik:
Road User Detection on Polarimetric Pre-CFAR Radar Data Level. IEEE Robotics Autom. Lett. 8(6): 3558-3565 (2023) - 2021
- [c54]Ole Schumann, Markus Hahn, Nicolas Scheiner, Fabio Weishaupt, Julius F. Tilly, Jürgen Dickmann, Christian Wöhler:
RadarScenes: A Real-World Radar Point Cloud Data Set for Automotive Applications. FUSION 2021: 1-8 - [c53]Julius F. Tilly, Ole Schumann, Fabio Weishaupt, Jürgen Dickmann, Gerd Waniliek:
Polarimetric Information Representation for Radar based Road User Detection with Deep Learning. FUSION 2021: 1-6 - [c52]Fabio Weishaupt
, Patrick S. Will, Nils Appenrodt, Julius F. Tilly
, Jürgen Dickmann, Dirk Heberling:
Robust Point-shaped Landmark Detection Using Polarimetric Radar. IV 2021: 859-865 - [i10]Markus Horn, Ole Schumann, Markus Hahn, Jürgen Dickmann, Klaus Dietmayer:
Motion Classification and Height Estimation of Pedestrians Using Sparse Radar Data. CoRR abs/2103.02278 (2021) - [i9]Ole Schumann, Markus Hahn, Nicolas Scheiner, Fabio Weishaupt, Julius F. Tilly, Jürgen Dickmann, Christian Wöhler:
RadarScenes: A Real-World Radar Point Cloud Data Set for Automotive Applications. CoRR abs/2104.02493 (2021) - [i8]Stefan Haag, Bharanidhar Duraisamy, Daniel Pfrommer, Wolfgang Koch, Martin Fritzsche, Jürgen Dickmann:
UNIFY: Multi-Belief Bayesian Grid Framework based on Automotive Radar. CoRR abs/2104.11979 (2021) - 2020
- [j5]Ole Schumann
, Jakob Lombacher
, Markus Hahn, Christian Wöhler, Jürgen Dickmann:
Scene Understanding With Automotive Radar. IEEE Trans. Intell. Veh. 5(2): 188-203 (2020) - [c51]Nicolas Scheiner, Florian Kraus, Fangyin Wei, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, Jürgen Dickmann, Klaus Dietmayer, Bernhard Sick
, Felix Heide:
Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar. CVPR 2020: 2065-2074 - [c50]Nicolas Scheiner, Ole Schumann
, Florian Kraus, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
:
Off-the-shelf sensor vs. experimental radar - How much resolution is necessary in automotive radar classification? FUSION 2020: 1-8 - [c49]Julius F. Tilly
, Stefan Haag, Ole Schumann
, Fabio Weishaupt, Bharanidhar Duraisamy, Jürgen Dickmann, Martin Fritzsche:
Detection and Tracking on Automotive Radar Data with Deep Learning. FUSION 2020: 1-7 - [c48]Fabio Weishaupt
, Julius F. Tilly
, Jürgen Dickmann, Dirk Heberling:
Polarimetric Covariance Gridmaps for Automotive Self-Localization. FUSION 2020: 1-8 - [c47]Stefan Haag, Bharanidhar Duraisamy, Constantin Blessing, Reiner Marchthaler, Wolfgang Koch, Martin Fritzsche, Jürgen Dickmann:
OAFuser: Online Adaptive Extended Object Tracking and Fusion using automotive Radar Detections. MFI 2020: 303-309 - [i7]Nicolas Scheiner, Ole Schumann, Florian Kraus, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick:
Off-the-shelf sensor vs. experimental radar - How much resolution is necessary in automotive radar classification? CoRR abs/2006.05485 (2020)
2010 – 2019
- 2019
- [c46]Nicolas Scheiner
, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
:
A Multi-Stage Clustering Framework for Automotive Radar Data. ITSC 2019: 2060-2067 - [c45]Nicolas Scheiner
, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
:
Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles. IV 2019: 722-729 - [c44]Fabian Roos, Philipp Hügler, Jonathan Bechter, Muhammad Ahsan Razzaq, Christina Knill, Nils Appenrodt, Jürgen Dickmann, Christian Waldschmidt
:
Effort Considerations of Compressed Sensing for Automotive Radar. RWS 2019: 1-3 - [c43]Stefan Haag, Bharanidhar Duraisamy, Felix Govaers, Wolfgang Koch, Martin Fritzsche, Jürgen Dickmann:
Extended Object Tracking assisted Adaptive Clustering for Radar in Autonomous Driving Applications. SDF 2019: 1-7 - [i6]Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick:
Automated Ground Truth Estimation of Vulnerable Road Users in Automotive Radar Data Using GNSS. CoRR abs/1905.11219 (2019) - [i5]Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick:
Radar-based Feature Design and Multiclass Classification for Road User Recognition. CoRR abs/1905.11256 (2019) - [i4]Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick:
Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles. CoRR abs/1905.11703 (2019) - [i3]Nicolas Scheiner, Stefan Haag, Nils Appenrodt, Bharanidhar Duraisamy, Jürgen Dickmann, Martin Fritzsche, Bernhard Sick:
Automated Ground Truth Estimation For Automotive Radar Tracking Applications With Portable GNSS And IMU Devices. CoRR abs/1905.11987 (2019) - [i2]Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick:
A Multi-Stage Clustering Framework for Automotive Radar Data. CoRR abs/1907.03511 (2019) - [i1]Nicolas Scheiner
, Florian Kraus, Fangyin Wei, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, Jürgen Dickmann, Klaus Dietmayer, Bernhard Sick, Felix Heide:
Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar. CoRR abs/1912.06613 (2019) - 2018
- [c42]Stefan Haag, Bharanidhar Duraisamy, Wolfgang Koch, Jürgen Dickmann:
Radar and Lidar Target Signatures of Various Object Types and Evaluation of Extended Object Tracking Methods for Autonomous Driving Applications. FUSION 2018: 1746-1755 - [c41]Ole Schumann
, Markus Hahn, Jürgen Dickmann, Christian Wöhler:
Semantic Segmentation on Radar Point Clouds. FUSION 2018: 2179-2186 - [c40]Amir Laribi, Markus Hahn, Jürgen Dickmann, Christian Waldschmidt
:
A Machine Learning Approach for Radar Based Height Estimation. ITSC 2018: 2364-2370 - [c39]Nicolas Scheiner
, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
:
Radar-based Feature Design and Multiclass Classification for Road User Recognition. Intelligent Vehicles Symposium 2018: 779-786 - [c38]Fabian Roos, Nils Appenrodt, Jürgen Dickmann, Christian Waldschmidt
:
Waveform multiplexing using chirp rate diversity for chirp-sequence based MIMO radar systems. RWS 2018: 60-63 - [c37]Stefan Haag, Bharanidhar Duraisamy, Wolfgang Koch, Jürgen Dickmann:
Classification Assisted Tracking for Autonomous Driving Domain. SDF 2018: 1-8 - [c36]Markus Horn, Ole Schumann
, Markus Hahn, Jürgen Dickmann, Klaus Dietmayer:
Motion Classification and Height Estimation of Pedestrians Using Sparse Radar Data. SDF 2018: 1-6 - 2017
- [j4]Matthias Rapp, Michael Barjenbruch, Markus Hahn, Jürgen Dickmann, Klaus Dietmayer:
Probabilistic ego-motion estimation using multiple automotive radar sensors. Robotics Auton. Syst. 89: 136-146 (2017) - [c35]Amir Laribi, Markus Hahn, Jürgen Dickmann, Christian Waldschmidt
:
A new height-estimation method using FMCW radar Doppler beam sharpening. EUSIPCO 2017: 1932-1396 - [c34]Peter Broßeit, Bharanidhar Duraisamy, Jürgen Dickmann:
The volcanormal density for radar-based extended target tracking. ITSC 2017: 1-6 - [c33]Amir Laribi, Markus Hahn, Jürgen Dickmann, Christian Waldschmidt
:
Vertical digital beamforming versus vertical Doppler Beam Sharpening. ITSC 2017: 1-6 - [c32]Jakob Lombacher, Kilian Laudt, Markus Hahn, Jürgen Dickmann, Christian Wöhler:
Semantic radar grids. Intelligent Vehicles Symposium 2017: 1170-1175 - [c31]Christian Wöhler, Ole Schumann
, Markus Hahn, Jürgen Dickmann:
Comparison of random forest and long short-term memory network performances in classification tasks using radar. SDF 2017: 1-6 - 2016
- [j3]Dominik Kellner
, Michael Barjenbruch, Jens Klappstein, Jürgen Dickmann, Klaus Dietmayer:
Tracking of Extended Objects with High-Resolution Doppler Radar. IEEE Trans. Intell. Transp. Syst. 17(5): 1341-1353 (2016) - [c30]Klaudius Werber, Jens Klappstein, Jürgen Dickmann, Christian Waldschmidt:
Point group associations for radar-based vehicle self-localization. FUSION 2016: 1638-1646 - [c29]Matthias Rapp, Klaus Dietmayer, Markus Hahn, Bharanidhar Duraisamy, Jürgen Dickmann:
Hidden Markov model-based occupancy grid maps of dynamic environments. FUSION 2016: 1780-1788 - [c28]Peter Broßeit, Matthias Rapp, Nils Appenrodt, Jürgen Dickmann:
Probabilistic rectangular-shape estimation for extended object tracking. Intelligent Vehicles Symposium 2016: 279-285 - 2015
- [j2]Jürgen Dickmann, Nils Appenrodt, Jens Klappstein, Hans-Ludwig Blöcher, Marc M. Muntzinger, Alfons Sailer, Markus Hahn, Carsten Brenk:
Making Bertha See Even More: Radar Contribution. IEEE Access 3: 1233-1247 (2015) - [c27]Michael Barjenbruch, Franz Gritschneder, Klaus Dietmayer, Jens Klappstein, Jürgen Dickmann:
Memory efficient spectral estimation on parallel computing architectures. SP/SPE 2015: 337-340 - [c26]Matthias Rapp, Michael Barjenbruch, Klaus Dietmayer, Markus Hahn, Jürgen Dickmann:
A fast probabilistic ego-motion estimation framework for radar. ECMR 2015: 1-6 - [c25]Dominik Kellner, Michael Barjenbruch, Klaus Dietmayer, Jens Klappstein, Jürgen Dickmann:
Joint radar alignment and odometry calibration. FUSION 2015: 366-374 - [c24]Klaudius Werber, Michael Barjenbruch, Jens Klappstein, Jürgen Dickmann, Christian Waldschmidt:
RoughCough - A new image registration method for radar based vehicle self-localization. FUSION 2015: 1533-1541 - [c23]Matthias Rapp, Markus Hahn, Markus Thom, Jürgen Dickmann, Klaus Dietmayer:
Semi-Markov Process Based Localization Using Radar in Dynamic Environments. ITSC 2015: 423-429 - [c22]Matthias Rapp, Tilmann Giese, Markus Hahn, Jürgen Dickmann, Klaus Dietmayer:
A Feature-Based Approach for Group-Wise Grid Map Registration. ITSC 2015: 511-516 - [c21]Matthias Rapp, Michael Barjenbruch, Markus Hahn, Jürgen Dickmann, Klaus Dietmayer:
Clustering improved grid map registration using the normal distribution transform. Intelligent Vehicles Symposium 2015: 249-254 - [c20]Michael Barjenbruch, Dominik Kellner, Jens Klappstein, Jürgen Dickmann, Klaus Dietmayer:
Joint spatial- and Doppler-based ego-motion estimation for automotive radars. Intelligent Vehicles Symposium 2015: 839-844 - [c19]Peter Broßeit, Dominik Kellner, Carsten Brenk, Jürgen Dickmann:
Fusion of doppler radar and geometric attributes for motion estimation of extended objects. SDF 2015: 1-5 - 2014
- [c18]Markus Schütz, Nils Appenrodt, Jürgen Dickmann, Klaus Dietmayer:
Multiple extended objects tracking with object-local occupancy grid maps. FUSION 2014: 1-7 - [c17]Dominik Kellner, Michael Barjenbruch, Jens Klappstein, Jürgen Dickmann, Klaus Dietmayer:
Instantaneous ego-motion estimation using multiple Doppler radars. ICRA 2014: 1592-1597 - [c16]Dominik Kellner, Michael Barjenbruch, Jens Klappstein, Jürgen Dickmann, Klaus Dietmayer:
Instantaneous full-motion estimation of arbitrary objects using dual Doppler radar. Intelligent Vehicles Symposium 2014: 324-329 - [c15]Markus Schütz, Nils Appenrodt, Jürgen Dickmann, Klaus Dietmayer:
Occupancy grid map-based extended object tracking. Intelligent Vehicles Symposium 2014: 1205-1210 - [c14]Renaud Dubé, Markus Hahn, Markus Schütz, Jürgen Dickmann, Denis Gingras:
Detection of parked vehicles from a radar based occupancy grid. Intelligent Vehicles Symposium 2014: 1415-1420 - 2013
- [c13]Dominik Kellner, Michael Barjenbruch, Klaus Dietmayer, Jens Klappstein, Jürgen Dickmann:
Instantaneous lateral velocity estimation of a vehicle using Doppler radar. FUSION 2013: 877-884 - [c12]Markus Schütz, Nils Appenrodt, Jürgen Dickmann, Klaus Dietmayer:
Simultaneous tracking and shape estimation with laser scanners. FUSION 2013: 885-891 - [c11]Dominik Kellner, Michael Barjenbruch, Jens Klappstein, Jürgen Dickmann, Klaus Dietmayer:
Instantaneous ego-motion estimation using Doppler radar. ITSC 2013: 869-874 - 2012
- [c10]Philipp Steinemann, Jens Klappstein, Jürgen Dickmann, Hans-Joachim Wünsche, Felix von Hundelshausen:
3D outline contours of vehicles in 3D-LIDAR-measurements for tracking extended targets. Intelligent Vehicles Symposium 2012: 432-437 - 2011
- [c9]Frederik Sarholz, Jens Mehnert
, Jens Klappstein, Jürgen Dickmann, Bernd Radig:
Evaluation of different approaches for road course estimation using imaging radar. IROS 2011: 4587-4592 - [c8]Fabian Diewald, Jens Klappstein, Frederik Sarholz, Jürgen Dickmann, Klaus Dietmayer:
Radar-interference-based bridge identification for collision avoidance systems. Intelligent Vehicles Symposium 2011: 113-118 - [c7]Matthias Roland Schmid, Savas Ates, Jürgen Dickmann, Felix von Hundelshausen, Hans-Joachim Wünsche:
Parking space detection with hierarchical dynamic occupancy grids. Intelligent Vehicles Symposium 2011: 254-259 - [c6]Philipp Steinemann, Jens Klappstein, Jürgen Dickmann, Hans-Joachim Wünsche, Felix von Hundelshausen:
Determining the outline contour of vehicles in 3D-LIDAR-measurements. Intelligent Vehicles Symposium 2011: 479-484 - [c5]Frederik Sarholz, Jens Klappstein, Fabian Diewald, Jürgen Dickmann, Bernd Radig:
Evaluation of different quality functions for road course estimation using imaging radar. Intelligent Vehicles Symposium 2011: 882-887 - [c4]Fabian Diewald, Jens Klappstein, Jürgen Dickmann:
An Adaption of the Lucy-Richardson Deconvolution Algorithm to Noncentral Chi-Square Distributed Data. MVA 2011: 389-392 - 2010
- [c3]Matthias Roland Schmid, Mirko Mählisch, Jürgen Dickmann, Hans-Joachim Wünsche:
Dynamic level of detail 3D occupancy grids for automotive use. Intelligent Vehicles Symposium 2010: 269-274 - [c2]Michael Munz, Mirko Mählisch, Jürgen Dickmann, Klaus Dietmayer:
Probabilistic modeling of sensor properties in generic fusion systems for modern driver assistance systems. Intelligent Vehicles Symposium 2010: 760-765 - [c1]Marc M. Muntzinger, Michael Aeberhard, Sebastian Zuther, Mirko Mählisch, Matthias Schmid, Jürgen Dickmann, Klaus Dietmayer:
Reliable automotive pre-crash system with out-of-sequence measurement processing. Intelligent Vehicles Symposium 2010: 1022-1027
2000 – 2009
- 2009
- [j1]Sylvia Pietzsch, Trung-Dung Vu, Julien Burlet, Olivier Aycard, Thomas Hackbarth, Nils Appenrodt, Jürgen Dickmann, Bernd Radig:
Results of a Precrash Application Based on Laser Scanner and Short-Range Radars. IEEE Trans. Intell. Transp. Syst. 10(4): 584-593 (2009)
Coauthor Index
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