Markus Hofbauer

Markus Hofbauer Markus Hofbauer

Senior Build Engineer & Associate Lecturer

About Me

Markus is the tech lead of the Build & Release Engineering team at Luminar Technologies. Together with his team, they enable other developers to build and release high-quality software products. In his role, he is responsible for the build system, developer tooling, and the CI/CD system. Markus received his PhD in Electrical and Computer Engineering from the Technical University of Munich where he is still teaching principles of software engineering to students.

Interests

Software Engineering
Scalable Mono Repositories
Developer Productivity

Education

Dr.-Ing. in Electrical and Computer Engineering

Technical University of Munich
M.Sc. in Electrical and Computer Engineering

Technical University of Munich
B.Sc. in Electrical and Computer Engineering

Technical University of Munich

My Background

I am a Senior Build Engineer and Tech Lead of the Build & Release Engineering team at working on a monorepo build system, developer tooling, and the CI/CD pipeline. Currently, we are migrating our build system to Bazel.

I am passionate about software engineering and the creation of scalable code, which is maintainable over time. Currently, I am teaching these principles at TUM to undergraduate students by offering the .

I studied Electrical and Computer Engineering at for both Bachelor and Master. From 2016 to 2018, I was a Software Engineer at the Objective Software GmbH and Luxoft Inc and worked in cooperation with the BMW Group in the area of Automotive and Autonomous Driving. From 2019 to 2022, I worked at the at TUM as a Research and Teaching Associate in the research group of , where I received my Engineering Doctorate in 2022. My at TUM was focused on video processing, compression, and transmission of multi-camera systems for autonomous and teleoperated driving. In 2022, I was a Senior Software Engineer at working on the software architecture and quality of our monorepository. My research at was focused on camera-based vital signs measurement.

Featured Publications

Teleoperated Driving

Adaptive Live Video Streaming for Teleoperated Driving

Failures of autonomous vehicles are inevitable. One possible solution to cope with these failures is teleoperated driving, where a human operator controls the vehicle from a remote environment. In this thesis, adaptive video streaming for teleoperated driving is investigated to provide the operator with the best possible situation awareness when controlling the vehicle from remote. A teledriving framework for the adaptation of individual camera views based on the current traffic situation is developed. Additionally, a preprocessing filter concept is proposed that allows for individual rate/quality adaptation while considering the hardware limitations of autonomous vehicles.

Nov 3, 2022

Software Engineering

Teaching Software Engineering As Programming Over Time

May 17, 2022

Teleoperated Driving

Preprocessor Rate Control for Adaptive Multi-View Live Video Streaming Using a Single Encoder

Jan 12, 2022

Teleoperated Driving

TELECARLA: An Open Source Extension of the CARLA Simulator for Teleoperated Driving Research Using Off-The-Shelf Components

Oct 20, 2020

Recent Publications

Tamay Aykut, Markus Hofbauer, Christopher Kuhn, Eckehard Steinbach, Bernd Girod (2023). Enabling Acoustic Audience Feedback in Large Virtual Events. In arXiv.

PDF Cite Code

Markus Hofbauer, Christoph Bachhuber, Christopher Kuhn, Sebastian Schwarz, Bart Kroon, Eckehard Steinbach (2023). Large-Scale Collaborative Writing: Technical Challenges and Recommendations. In arXiv.

PDF Cite Code DOI

Markus Hofbauer, Christopher Kuhn, Goran Petrovic, Eckehard Steinbach (2023). Mean Saving-Cost Ratio: A Metric for Evaluating the Impact of Image Preprocessing on the Rate-Distortion Performance of Video Encoding. In ESCRI.

PDF Cite Code Project Slides DOI Journal

Christopher Kuhn, Markus Hofbauer, Goran Petrovic, Eckehard Steinbach (2022). Improving Multimodal Object Detection with Individual Sensor Monitoring. In ISM2022.

PDF Cite Project Slides DOI Conference Proceedings

Markus Hofbauer, Christopher Kuhn, Goran Petrovic, Eckehard Steinbach (2022). Measuring the Influence of Image Preprocessing on the Rate-Distortion Performance of Video Encoding. In ISM2022.