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2020 – today
- 2024
[c26]Robin Dehler, Martin Herrmann, Jan Strohbeck, Michael Buchholz:
A Graph Neural Network Approach for Solving the Ranked Assignment Problem in Multi-Object Tracking. IV 2024: 2646-2652- 2023
- [c25]Charlotte Hermann, Martin Herrmann, Thomas Griebel
, Michael Buchholz, Klaus Dietmayer:
The Fast Product Multi-Sensor Labeled Multi-Bernoulli Filter. FUSION 2023: 1-8 - [c24]Martin Herrmann, Tim Luchterhand, Charlotte Hermann, Michael Buchholz:
The Product Multi-Sensor Labeled Multi-Bernoulli Filter. FUSION 2023: 1-8 - [c23]Alexander Scheible, Thomas Griebel, Martin Herrmann, Charlotte Hermann, Michael Buchholz:
Track Classification for Random Finite Set Based Multi-Sensor Multi-Object Tracking. SDF-MFI 2023: 1-8 - 2022
- [j7]Michael Buchholz, Johannes Müller, Martin Herrmann, Jan Strohbeck, Benjamin Völz, Matthias Maier, Jonas Paczia, Oliver Stein, Hubert Rehborn, Rüdiger-Walter Henn:
Handling Occlusions in Automated Driving Using a Multiaccess Edge Computing Server-Based Environment Model From Infrastructure Sensors. IEEE Intell. Transp. Syst. Mag. 14(3): 106-120 (2022) - [j6]Johannes Müller, Jan Strohbeck, Martin Herrmann, Michael Buchholz:
Motion Planning for Connected Automated Vehicles at Occluded Intersections With Infrastructure Sensors. IEEE Trans. Intell. Transp. Syst. 23(10): 17479-17490 (2022) - [c22]Martin Herrmann, Christian Witt, Laureen Lake, Stefani Guneshka, Christian Heinzemann, Frank Bonarens, Patrick Feifel, Simon Funke:
Using ontologies for dataset engineering in automotive AI applications. DATE 2022: 526-531 - [c21]Thomas Griebel, Johannes Müller, Paul Geisler, Charlotte Hermann, Martin Herrmann, Michael Buchholz, Klaus Dietmayer:
Self-Assessment for Single-Object Tracking in Clutter Using Subjective Logic. FUSION 2022: 1-8 - [c20]Martin Herrmann, Tim Luchterhand, Charlotte Hermann, Thomas Wodtko, Jan Strohbeck, Michael Buchholz:
Notes on the Product Multi-Sensor Generalized Labeled Multi-Bernoulli Filter and its Implementation. FUSION 2022: 1-8 - [c19]Jan Strohbeck, Johannes Müller, Martin Herrmann, Michael Buchholz:
Deep Kernel Learning for Uncertainty Estimation in Multiple Trajectory Prediction Networks. IROS 2022: 11396-11402 - [c18]Alexander Tsaregorodtsev, Johannes Müller, Jan Strohbeck, Martin Herrmann, Michael Buchholz, Vasileios Belagiannis:
Extrinsic Camera Calibration with Semantic Segmentation. ITSC 2022: 3781-3787 - [i5]Thomas Griebel, Johannes Müller, Paul Geisler, Charlotte Hermann, Martin Herrmann, Michael Buchholz, Klaus Dietmayer:
Self-Assessment for Single-Object Tracking in Clutter Using Subjective Logic. CoRR abs/2206.07449 (2022) - [i4]Alexander Tsaregorodtsev, Johannes Müller, Jan Strohbeck, Martin Herrmann, Michael Buchholz, Vasileios Belagiannis:
Extrinsic Camera Calibration with Semantic Segmentation. CoRR abs/2208.03949 (2022) - 2021
- [j5]Martin Herrmann, Charlotte Hermann, Michael Buchholz:
Distributed Implementation of the Centralized Generalized Labeled Multi-Bernoulli Filter. IEEE Trans. Signal Process. 69: 5159-5174 (2021) - [c17]Jan Strohbeck, Martin Herrmann, Johannes Müller, Michael Buchholz:
An Extension Proposal for the Collective Perception Service to Avoid Transformation Errors and Include Object Predictions*. VNC 2021: 40-43 - [i3]Johannes Müller, Jan Strohbeck, Martin Herrmann, Michael Buchholz:
Motion Planning for Connected Automated Vehicles at Occluded Intersections With Infrastructure Sensors. CoRR abs/2110.11246 (2021) - 2020
- [j4]Matthias Bitzer, Martin Herrmann, Eckart Mayer-John:
System Co-Design (SCODE): methodology for the analysis of hybrid systems. Autom. 68(6): 488-499 (2020) - [c16]Christoph Gladisch, Christian Heinzemann, Martin Herrmann, Matthias Woehrle:
Leveraging combinatorial testing for safety-critical computer vision datasets. CVPR Workshops 2020: 1314-1321 - [c15]Jan Strohbeck, Vasileios Belagiannis, Johannes Müller, Marcel Schreiber, Martin Herrmann, Daniel Wolf, Michael Buchholz:
Multiple Trajectory Prediction with Deep Temporal and Spatial Convolutional Neural Networks. IROS 2020: 1992-1998 - [c14]Martin Butz, Christian Heinzemann, Martin Herrmann, Jens Oehlerking, Michael Rittel, Nadja Schalm, Dirk Ziegenbein:
SOCA: Domain Analysis for Highly Automated Driving Systems. ITSC 2020: 1-6 - [c13]Martin Herrmann, Aldi Piroli, Jan Strohbeck, Johannes Müller, Michael Buchholz:
LMB Filter Based Tracking Allowing for Multiple Hypotheses in Object Reference Point Association. MFI 2020: 197-203 - [i2]Martin Herrmann, Aldi Piroli, Jan Strohbeck, Johannes Müller, Michael Buchholz:
LMB Filter Based Tracking Allowing for Multiple Hypotheses in Object Reference Point Association. CoRR abs/2011.05657 (2020)
2010 – 2019
- 2019
- [j3]Matthias Bitzer, Martin Herrmann, Eckart Mayer-John:
System Co-Design (SCODE): Methodik zur Analyse hybrider Systeme. Autom. 67(9): 739-750 (2019) - [j2]Andrei Aksjonov, Pavel Nedoma, Valery Vodovozov, Eduard Petlenkov, Martin Herrmann:
Detection and Evaluation of Driver Distraction Using Machine Learning and Fuzzy Logic. IEEE Trans. Intell. Transp. Syst. 20(6): 2048-2059 (2019) - [c12]Martin Herrmann, Johannes Müller, Jan Strohbeck, Michael Buchholz:
Environment Modeling Based on Generic Infrastructure Sensor Interfaces Using a Centralized Labeled-Multi-Bernoulli Filter. ITSC 2019: 2414-2420 - [c11]Johannes Müller, Martin Herrmann, Jan Strohbeck, Vasileios Belagiannis, Michael Buchholz:
LACI: Low-effort Automatic Calibration of Infrastructure Sensors. ITSC 2019: 3928-3933 - [i1]Johannes Müller, Martin Herrmann, Jan Strohbeck, Vasileios Belagiannis, Michael Buchholz:
LACI: Low-effort Automatic Calibration of Infrastructure Sensors. CoRR abs/1911.01711 (2019) - 2017
- [c10]Andrei Aksjonov, Pavel Nedoma, Valery Vodovozov, Eduard Petlenkov, Martin Herrmann:
A method of driver distraction evaluation using fuzzy logic: Phone usage as a driver's secondary activity: Case study. ICAT 2017: 1-6 - 2016
- [c9]Jan Wojdziak, Bettina Kirchner, Dietrich Kammer, Martin Herrmann, Rainer Groh:
Towards a Visual Data Language to Improve Insights into Complex Multidimensional Data. HCI (4) 2016: 203-213 - 2014
- [c8]Mandy Keck, Martin Herrmann, Dana Henkens, Severin Taranko, Viet Nguyen, Fred Funke, Steffi Schattenberg, Andreas Both, Rainer Groh:
Visual Innovations for Product Search Interfaces. GI-Jahrestagung 2014: 679-688 - [c7]Mandy Keck, Martin Herrmann, Andreas Both, Dana Henkens, Rainer Groh:
Exploring Similarity - Improving Product Search with Parallel Coordinates. HCI (13) 2014: 160-171 - [c6]Matthew Klingensmith, Martin Herrmann, Siddhartha S. Srinivasa:
Object Modeling and Recognition from Sparse, Noisy Data via Voxel Depth Carving. ISER 2014: 697-713 - 2013
- [c5]Mandy Keck, Martin Herrmann, Andreas Both, Ricardo Gaertner, Rainer Groh:
Improving Motive-Based Search - Utilization of Vague Feelings and Ideas in the Process of Information Seeking. HCI (25) 2013: 439-448 - [c4]Mirko de Almeida Madeira Clemente, Martin Herrmann, Mandy Keck, Rainer Groh:
tANGibLE: a Smart Tangible Home Controller. MuC (Workshopband) 2013: 523-526
2000 – 2009
- 2008
- [c3]Ji Eun Kim, Rahul Kapoor, Martin Herrmann, Jochen Härdtlein, Franz Grzeschniok, Peter Lutz:
Software Behavior Description of Real-Time Embedded Systems in Component Based Software Development. ISORC 2008: 307-311 - 2001
- [c2]Marko Auerswald, Martin Herrmann, Stefan Kowalewski, Vincent Schulte-Coerne:
Reliability-Oriented Product Line Engineering of Embedded Systems. PFE 2001: 83-100
1990 – 1999
- 1993
- [j1]Guy Castagnoli, Stefan Brauer, Martin Herrmann:
Optimization of cyclic redundancy-check codes with 24 and 32 parity bits. IEEE Trans. Commun. 41(6): 883-892 (1993) - 1990
- [c1]Hans Georg Feichtinger, Karlheinz Gröchenig, Martin Herrmann:
Iterative Methods in Irregular Sampling Theory, Numerical Results. ASST 1990: 160-166
Coauthor Index
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