Perception, Tracking & Fusion
Object detection, tracking, gating, association and fusion on object and sensor data level across camera, radar, cooperative and infrastructure-based sensing.
I build software and algorithms for safety-critical automotive systems — from pre-crash and occupant protection to perception, localization, intelligent infrastructure and virtual testing.
My work connects research prototypes, series development and technical leadership. I design practical software around camera, radar, GNSS and IMU data, often paired with custom tooling, visualization and user interfaces to make complex systems testable, explainable and demonstrable.
Alongside long-term camera and radar development, I contributed to public R&D projects in cooperative perception, automated driving, smart infrastructure and visual-inertial positioning.
My work sits between algorithm development, software implementation and real-world validation, with a focus on perception, safety functions, intelligent infrastructure and localization.
Object detection, tracking, gating, association and fusion on object and sensor data level across camera, radar, cooperative and infrastructure-based sensing.
Algorithms connecting active safety, pre-crash assessment, passive restraint systems and in-cabin sensing.
Smart City and intelligent infrastructure concepts with infrastructure-mounted automotive sensors, object perception, fusion and functions such as traffic statistics or vehicle maneuvering.
Visual-inertial, indoor/outdoor localization and positioning-related work in the context of ESA NAVISP and sensor-fusion-based navigation.
Long-term software and algorithm work on series mono-camera, stereo-camera, radar and safety-related automotive projects.
Prototype vehicles, sensor setups, test campaigns, measurement analysis, documentation, tooling and experiment coordination.
2D/3D visualization, custom tooling and complete prototype applications with user interfaces for algorithm development, demonstration and evaluation.
Virtual testing workflows with tools such as CarMaker and BeamNG.tech, plus custom evaluation tools for algorithm development and validation.
Additional background in web development, Linux server administration, databases and application software.
My experience combines long-term series development, advanced engineering, research prototypes and practical software delivery in automotive safety and automated-driving contexts.
09 / 2025 – present
Team Lead Software
Leading an 8-person software team while staying close to algorithm and prototype development. Current work focuses on integrated safety algorithms for pre-crash, occupant safety, and in-cabin sensing, together with sensor fusion and localization concepts based on camera, radar, GNSS, and IMU data. I also design end-to-end software and UI solutions for industry demonstrations and commercial showcases.
05 / 2018 – 09 / 2025
Team Lead Software
Led local and offshore software teams while supervising key project roles across series application programs. Alongside disciplinary and technical leadership, I continued hands-on development of integrated safety algorithms for ADAS, smart infrastructure, and intelligent vehicle maneuvering, and acted as a technical sparring partner for internal teams and customers.
12 / 2011 – 05 / 2018
Development Engineer
Developed object detection and tracking algorithms for mono- and stereo-camera systems across multiple series projects. Work included early mono-camera prototyping, pedestrian-detection functionality, ADAS feature development, cross-site technical coordination, and a prototypical AEB system using transponder data.
2010 – 2011
Master Thesis / Advanced Development
2009 – 2010
Software Development Engineer
2008 – 2009
Diploma Thesis / Advanced Development
2007 – 2008
Engineering Internships
Since 2005
Web Design, Development and Linux Server Administration
In addition to series camera and radar development, I contributed to public R&D initiatives around cooperative perception, highly automated driving, intelligent infrastructure, urban automation, vulnerable road user protection and positioning.
Cooperative pedestrian protection and predictive traffic safety
Research around cooperative sensing for vulnerable road user protection, including transponder-based localization, camera fusion, object tracking and collision-risk prediction.
Cooperative highly automated driving
Public R&D project on highly automated driving at higher speeds, cooperative environment information and safety concepts for automated vehicle operation.
Integrated driver assistance and safety research
Research context around integrated safety, driver assistance functions, perception algorithms and prototype implementation.
Decentralized communication for safer urban intersections
Research on automated vehicles exchanging sensor information directly to improve safety at complex intersections, including protection of vulnerable and non-connected road users.
Automated Driving in the City
Public R&D project focused on automated driving functions for complex urban environments.
Advanced visual-inertial navigation
Project context around visual-inertial positioning and navigation for indoor/outdoor localization and high-end handheld positioning.
Publications and talks were mostly a side quest next to engineering work, but they document parts of my work in cooperative sensing, pedestrian protection and collision-risk prediction.
2012 · Author
IEEE Intelligent Vehicles Symposium, Alcalá de Henares, Spain
Predictive safety system combining cooperative transponder localization with monocular camera detection and tracking for pedestrian protection and collision-risk assessment. Authors: Daniel Westhofen, Carolin Gründler, Konrad Doll, Ulrich Brunsmann, Stephan Zecha.
2012 · Co-author
5. Tagung Fahrerassistenzsysteme, München
Preventive pedestrian protection using cooperative localization methods, including Ko-FAS technologies, cooperative transponders and fusion concepts.
2011 · Co-presenter
6. Praxiskonferenz Fußgängerschutz, Bergisch Gladbach
Collision-risk prediction using cooperative sensor technology for predictive traffic safety and pedestrian protection.
2011 · Co-author
International Workshop on Intelligent Transportation, Hamburg
Research contribution around cooperative sensor systems and collision-risk prediction for intelligent transportation.
2013 · Co-author / contributor
Ko-FAS final presentation
Cooperative pedestrian protection using camera, radar and cooperative sensing concepts to improve vulnerable road user safety.
Selected patent families related to cooperative sensing, object detection and safety control logic.
WO2013178224A1 / EP2856205B1 family
Object detection approach using transponder-based distance or object information to guide camera-image search regions, supporting robust object detection, tracking and collision-risk assessment.
EP3392730B1 / US10719718B2 / JP7268959B2 family
Safety mechanism for automatic vehicle restart in ACC Stop-and-Go scenarios, using scene and sensor assessment before allowing the vehicle to resume movement.
M. Eng. Electrical and Information Technology
TH Aschaffenburg · 2010 – 2011
Dipl.-Ing. (FH) Mechatronics
TH Aschaffenburg · 2004 – 2009
Abitur
Karl-Theodor-v.-Dalberg Gymnasium, Aschaffenburg, Bayern · 1994 – 2003
When I am not developing safety algorithms or leading software teams, I work behind the lens as a passionate photographer. I handle the full visual workflow from capture to color grading and video editing, using tools such as Lightroom, Photoshop and Premiere Pro. It complements software architecture in a natural way: visual storytelling, design sensitivity and technical precision across the full pipeline.