Iterative Methods in Irregular Sampling Theory, Numerical Results. - Hans Georg Feichtinger; Karlheinz Gröchenig; Martin Herrmann (ASST, 1990)

Optimization of cyclic redundancy-check codes with 24 and 32 parity bits. - Guy Castagnoli; Stefan Brauer; Martin Herrmann (IEEE Trans. Commun., 1993)

Reliability-Oriented Product Line Engineering of Embedded Systems. - Marko Auerswald; Martin Herrmann; Stefan Kowalewski; Vincent Schulte-Coerne (PFE, 2001)

Software Behavior Description of Real-Time Embedded Systems in Component Based Software Development. - Ji Eun Kim; Rahul Kapoor; Martin Herrmann; Jochen Härdtlein; Franz Grzeschniok; Peter Lutz (ISORC, 2008)

Improving Motive-Based Search - Utilization of Vague Feelings and Ideas in the Process of Information Seeking. - Mandy Keck; Martin Herrmann; Andreas Both 001; Ricardo Gaertner; Rainer Groh 001 (HCI (25), 2013)

tANGibLE: a Smart Tangible Home Controller. - Mirko de Almeida Madeira Clemente; Martin Herrmann; Mandy Keck; Rainer Groh 001 (MuC (Workshopband), 2013)

Visual Innovations for Product Search Interfaces. - Mandy Keck; Martin Herrmann; Dana Henkens; Severin Taranko; Viet Nguyen; Fred Funke; Steffi Schattenberg; Andreas Both 001; Rainer Groh 001 (GI-Jahrestagung, 2014)

Exploring Similarity - Improving Product Search with Parallel Coordinates. - Mandy Keck; Martin Herrmann; Andreas Both 001; Dana Henkens; Rainer Groh 001 (HCI (13), 2014)

Object Modeling and Recognition from Sparse, Noisy Data via Voxel Depth Carving. - Matthew Klingensmith; Martin Herrmann; Siddhartha S. Srinivasa (ISER, 2014)

Towards a Visual Data Language to Improve Insights into Complex Multidimensional Data. - Jan Wojdziak; Bettina Kirchner; Dietrich Kammer; Martin Herrmann; Rainer Groh 001 (HCI (4), 2016)

A method of driver distraction evaluation using fuzzy logic: Phone usage as a driver's secondary activity: Case study. - Andrei Aksjonov; Pavel Nedoma; Valery Vodovozov; Eduard Petlenkov; Martin Herrmann (ICAT, 2017)

LACI: Low-effort Automatic Calibration of Infrastructure Sensors. - Johannes Müller 003; Martin Herrmann; Jan Strohbeck; Vasileios Belagiannis; Michael Buchholz (ITSC, 2019)

Environment Modeling Based on Generic Infrastructure Sensor Interfaces Using a Centralized Labeled-Multi-Bernoulli Filter. - Martin Herrmann; Johannes Müller 003; Jan Strohbeck; Michael Buchholz (ITSC, 2019)

System Co-Design (SCODE): Methodik zur Analyse hybrider Systeme. - Matthias Bitzer 002; Martin Herrmann; Eckart Mayer-John (Autom., 2019)

Detection and Evaluation of Driver Distraction Using Machine Learning and Fuzzy Logic. - Andrei Aksjonov; Pavel Nedoma; Valery Vodovozov; Eduard Petlenkov; Martin Herrmann (IEEE Trans. Intell. Transp. Syst., 2019)

Leveraging combinatorial testing for safety-critical computer vision datasets. - Christoph Gladisch; Christian Heinzemann; Martin Herrmann; Matthias Woehrle (CVPR Workshops, 2020)

Multiple Trajectory Prediction with Deep Temporal and Spatial Convolutional Neural Networks. - Jan Strohbeck; Vasileios Belagiannis; Johannes Müller 003; Marcel Schreiber; Martin Herrmann; Daniel Wolf; Michael Buchholz (IROS, 2020)

SOCA: Domain Analysis for Highly Automated Driving Systems. - Martin Butz; Christian Heinzemann; Martin Herrmann; Jens Oehlerking; Michael Rittel; Nadja Schalm; Dirk Ziegenbein (ITSC, 2020)

LMB Filter Based Tracking Allowing for Multiple Hypotheses in Object Reference Point Association. - Martin Herrmann; Aldi Piroli; Jan Strohbeck; Johannes Müller 003; Michael Buchholz (MFI, 2020)

System Co-Design (SCODE): methodology for the analysis of hybrid systems. - Matthias Bitzer 002; Martin Herrmann; Eckart Mayer-John (Autom., 2020)

An Extension Proposal for the Collective Perception Service to Avoid Transformation Errors and Include Object Predictions*. - Jan Strohbeck; Martin Herrmann; Johannes Müller 003; Michael Buchholz (VNC, 2021)

Distributed Implementation of the Centralized Generalized Labeled Multi-Bernoulli Filter. - Martin Herrmann; Charlotte Hermann; Michael Buchholz (IEEE Trans. Signal Process., 2021)

Using ontologies for dataset engineering in automotive AI applications. - Martin Herrmann; Christian Witt; Laureen Lake; Stefani Guneshka; Christian Heinzemann; Frank Bonarens; Patrick Feifel; Simon Funke (DATE, 2022)

Self-Assessment for Single-Object Tracking in Clutter Using Subjective Logic. - Thomas Griebel; Johannes Müller 003; Paul Geisler; Charlotte Hermann; Martin Herrmann; Michael Buchholz; Klaus Dietmayer (FUSION, 2022)

Notes on the Product Multi-Sensor Generalized Labeled Multi-Bernoulli Filter and its Implementation. - Martin Herrmann; Tim Luchterhand; Charlotte Hermann; Thomas Wodtko; Jan Strohbeck; Michael Buchholz (FUSION, 2022)

Deep Kernel Learning for Uncertainty Estimation in Multiple Trajectory Prediction Networks. - Jan Strohbeck; Johannes Müller 003; Martin Herrmann; Michael Buchholz (IROS, 2022)

Extrinsic Camera Calibration with Semantic Segmentation. - Alexander Tsaregorodtsev; Johannes Müller 003; Jan Strohbeck; Martin Herrmann; Michael Buchholz; Vasileios Belagiannis (ITSC, 2022)

Handling Occlusions in Automated Driving Using a Multiaccess Edge Computing Server-Based Environment Model From Infrastructure Sensors. - Michael Buchholz; Johannes Müller 003; Martin Herrmann; Jan Strohbeck; Benjamin Völz; Matthias Maier; Jonas Paczia; Oliver Stein; Hubert Rehborn; Rüdiger-Walter Henn (IEEE Intell. Transp. Syst. Mag., 2022)

Motion Planning for Connected Automated Vehicles at Occluded Intersections With Infrastructure Sensors. - Johannes Müller 003; Jan Strohbeck; Martin Herrmann; Michael Buchholz (IEEE Trans. Intell. Transp. Syst., 2022)

The Fast Product Multi-Sensor Labeled Multi-Bernoulli Filter. - Charlotte Hermann; Martin Herrmann; Thomas Griebel; Michael Buchholz; Klaus Dietmayer (FUSION, 2023)

The Product Multi-Sensor Labeled Multi-Bernoulli Filter. - Martin Herrmann; Tim Luchterhand; Charlotte Hermann; Michael Buchholz (FUSION, 2023)

Track Classification for Random Finite Set Based Multi-Sensor Multi-Object Tracking. - Alexander Scheible; Thomas Griebel; Martin Herrmann; Charlotte Hermann; Michael Buchholz (SDF-MFI, 2023)

A Graph Neural Network Approach for Solving the Ranked Assignment Problem in Multi-Object Tracking. - Robin Dehler; Martin Herrmann; Jan Strohbeck; Michael Buchholz (IV, 2024)