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Philipp Heidenreich

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2020 – today

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2023
[c15]
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Lukas Stäcker, Shashank Mishra, Philipp Heidenreich, Jason R. Rambach, Didier Stricker:
RC-BEVFusion: A Plug-In Module for Radar-Camera Bird's Eye View Feature Fusion. DAGM 2023: 178-194
[c14]
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Lukas Stäcker, Philipp Heidenreich, Jason R. Rambach, Didier Stricker:
Cross-Dataset Experimental Study of Radar-Camera Fusion in Bird's-Eye View. EUSIPCO 2023: 810-814
[i6]
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Lukas Stäcker, Shashank Mishra, Philipp Heidenreich, Jason R. Rambach, Didier Stricker:
RC-BEVFusion: A Plug-In Module for Radar-Camera Bird's Eye View Feature Fusion. CoRR abs/2305.15883 (2023)
[i5]
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Lukas Stäcker, Philipp Heidenreich, Jason R. Rambach, Didier Stricker:
Cross-Dataset Experimental Study of Radar-Camera Fusion in Bird's-Eye View. CoRR abs/2309.15465 (2023)
2022
[j7]
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Kunyu Peng, Juncong Fei, Kailun Yang, Alina Roitberg, Jiaming Zhang, Frank Bieder, Philipp Heidenreich, Christoph Stiller, Rainer Stiefelhagen:
MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding. IEEE Trans. Intell. Transp. Syst. 23(9): 15824-15840 (2022)
[c13]
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Thomas Stauner, Frédérik Blank, Michael Fürst, Johannes Günther, Korbinian Hagn, Philipp Heidenreich, Markus Huber, Bastian Knerr, Thomas Schulik, Karl-Ferdinand Leiß:
SynPeDS: A Synthetic Dataset for Pedestrian Detection in Urban Traffic Scenes. CSCS 2022: 2:1-2:10
[c12]
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Lukas Stäcker, Philipp Heidenreich, Jason R. Rambach, Didier Stricker:
Fusion Point Pruning for Optimized 2D Object Detection with Radar-Camera Fusion. WACV 2022: 1275-1282
2021
[j6]
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Philipp Heidenreich, Abdelhak M. Zoubir, Igal Bilik, Maria Greco, Murat Torlak:
Editorial: Introduction to the Issue on Recent Advances in Automotive Radar Signal Processing. IEEE J. Sel. Top. Signal Process. 15(4): 861-864 (2021)
[j5]
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Florian Engels, Philipp Heidenreich, Markus Wintermantel, Lukas Stäcker, Muhammed Al Kadi, Abdelhak M. Zoubir:
Automotive Radar Signal Processing: Research Directions and Practical Challenges. IEEE J. Sel. Top. Signal Process. 15(4): 865-878 (2021)
[c11]
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Lukas Stäcker, Juncong Fei, Philipp Heidenreich, Frank Bonarens, Jason R. Rambach, Didier Stricker, Christoph Stiller:
Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization. ICCVW 2021: 1015-1022
[c10]
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Juncong Fei, Kunyu Peng, Philipp Heidenreich, Frank Bieder, Christoph Stiller:
PillarSegNet: Pillar-based Semantic Grid Map Estimation using Sparse LiDAR Data. IV 2021: 838-844
[i4]
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Juncong Fei, Kunyu Peng, Philipp Heidenreich, Frank Bieder, Christoph Stiller:
PillarSegNet: Pillar-based Semantic Grid Map Estimation using Sparse LiDAR Data. CoRR abs/2105.04169 (2021)
[i3]
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  - journals/corr/abs-2107-00346
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Kunyu Peng, Juncong Fei, Kailun Yang, Alina Roitberg, Jiaming Zhang, Frank Bieder, Philipp Heidenreich, Christoph Stiller, Rainer Stiefelhagen:
MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding. CoRR abs/2107.00346 (2021)
[i2]
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  - journals/corr/abs-2108-08166
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Lukas Stäcker, Juncong Fei, Philipp Heidenreich, Frank Bonarens, Jason R. Rambach, Didier Stricker, Christoph Stiller:
Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization. CoRR abs/2108.08166 (2021)
2020
[c9]
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Juncong Fei, Wenbo Chen, Philipp Heidenreich, Sascha Wirges, Christoph Stiller:
SemanticVoxels: Sequential Fusion for 3D Pedestrian Detection using LiDAR Point Cloud and Semantic Segmentation. MFI 2020: 185-190
[i1]
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  - journals/corr/abs-2009-12276
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Juncong Fei, Wenbo Chen, Philipp Heidenreich, Sascha Wirges, Christoph Stiller:
SemanticVoxels: Sequential Fusion for 3D Pedestrian Detection using LiDAR Point Cloud and Semantic Segmentation. CoRR abs/2009.12276 (2020)

2010 – 2019

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2019
[c8]
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Artem N. Chernodub, Oleksiy Oliynyk, Philipp Heidenreich, Alexander Bondarenko, Matthias Hagen, Chris Biemann, Alexander Panchenko:
TARGER: Neural Argument Mining at Your Fingertips. ACL (3) 2019: 195-200
2017
[j4]
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Florian Engels, Philipp Heidenreich, Abdelhak M. Zoubir, Friedrich K. Jondral, Markus Wintermantel:
Advances in Automotive Radar: A framework on computationally efficient high-resolution frequency estimation. IEEE Signal Process. Mag. 34(2): 36-46 (2017)
2014
[p1]
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Philipp Heidenreich, Abdelhak M. Zoubir:
Computational Aspects of Maximum Likelihood DOA Estimation of Two Targets with Applications to Automotive Radar. Smart Mobile In-Vehicle Systems 2014: 3-18
2013
[j3]
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Philipp Heidenreich, Abdelhak M. Zoubir:
Fast maximum likelihood DOA estimation in the two-target case with applications to automotive radar. Signal Process. 93(12): 3400-3409 (2013)
2012
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Philipp Heidenreich, Abdelhak M. Zoubir, Michael Rübsamen:
Joint 2-D DOA Estimation and Phase Calibration for Uniform Rectangular Arrays. IEEE Trans. Signal Process. 60(9): 4683-4693 (2012)
[c7]
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Philipp Heidenreich, Abdelhak M. Zoubir:
Computationally simple DOA estimation of two resolved targets with a single snapshot. ICASSP 2012: 2553-2556
2011
[c6]
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Philipp Heidenreich, Abdelhak M. Zoubir:
Gain and phase autocalibration for uniform rectangular arrays. ICASSP 2011: 2568-2571
2010
[c5]
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Philipp Heidenreich, David Stenmanns, Abdelhak M. Zoubir:
Computationally simple criteria for detecting a multi-target scenario in automotive radar array processing. EUSIPCO 2010: 224-228
[c4]
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Waqas Sharif, Philipp Heidenreich, Abdelhak M. Zoubir:
Robust direction-of-arrival estimation for FM sources in the presence of impulsive noise. ICASSP 2010: 3662-3665
[c3]
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Zhihua Lu, Philipp Heidenreich, Abdelhak M. Zoubir:
Objective quality assessment of speech enhancement algorithms using bootstrap-based multiple hypotheses tests. ICASSP 2010: 4102-4105

2000 – 2009

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2009
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Philipp Heidenreich, Luke A. Cirillo, Abdelhak M. Zoubir:
Morphological image processing for FM source detection and localization. Signal Process. 89(6): 1070-1080 (2009)
2008
[c2]
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Philipp Heidenreich, Abdelhak M. Zoubir:
Goodness measure of speech reconstruction using the bootstrap. ISWPC 2008: 274-277
2007
[c1]
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Philipp Heidenreich, Luke A. Cirillo, Abdelhak M. Zoubir:
Direction Finding of Nonstationary Signals using Spatial Time-Frequency Distributions and Morphological Image Processing. ICASSP (3) 2007: 1137-1140

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