Ing Gassmann
Head Of Simulation
Berlin, Germany
Summary
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Rockstar🎓
Top SchoolIng Gassmann is a Head of Simulation based in Berlin with over 7 years of focused experience in autonomous driving and a long track record in automotive software dating back to early work on ADAS and research at KIT. He blends research-grade expertise (Dr.-Ing. in Robotics and Navigation) with hands-on backend engineering, having contributed core server and ROS-bridge enhancements to the widely used CARLA simulator and reliability fixes to Intel’s RSS safety library. At Intel Labs he led dependable driving automation efforts, translating safety models and sensor integrations into robust code and tests. Now leading simulation at MOTOR Ai, he bridges simulation fidelity, sensor modeling, and vehicle control interfaces to accelerate validation pipelines. Known for diving into C++/ROS internals and improving RPC/actor interfaces, he brings a rare mix of academic rigor and production-grade systems craftsmanship. Colleagues value his ability to turn complex safety requirements into testable, maintainable software components.
7 years of coding experience
17 years of employment as a software developer
Dr.-Ing., Robotics, Navigation, Dr.-Ing., Robotics, Navigation at Karlsruhe Institute of Technology (KIT)
Github Skills (17)
unit-testing10
simulation10
c-language10
python10
simulator10
simulations10
camera10
autonomous-vehicles10
rpc10
cprogramming-language10
ros10
carla10
transformation9
computer-vision8
doxygen7
Programming languages (7)
Github contributions (5)
intel/ad-rss-lib
Mar 2019 - Oct 2022
Library implementing the Responsibility Sensitive Safety model (RSS) for Autonomous Vehicles
Role in this project:
Backend Developer
Backend DeveloperContributions:10 releases, 130 reviews, 70 commits in 3 years 7 months
Contributions summary:Ing's contributions primarily involve extending tests and fixing issues within the `intel/ad-rss-lib` repository. They addressed doxygen warnings and extended existing unit tests to improve the codebase. Furthermore, the user fixed errors discovered during testing, particularly in the `calculateLateralDimensions()` function and within the `extractSituation()` function, indicating a focus on improving the library's core functionality and ensuring the reliability of its calculations related to the Responsibility Sensitive Safety model for Autonomous Vehicles.
rssautonomousresponsibilitysensitivevehicles
carla-simulator/ros-bridge
Nov 2018 - Dec 2022
ROS bridge for CARLA Simulator
Role in this project:Back-end Developer
Back-end DeveloperContributions:4 reviews, 49 commits, 28 PRs in 4 years 1 month
Contributions summary:Ing primarily focused on developing the ROS bridge for the CARLA simulator. They implemented core features such as hierarchical actor structures, dynamic actor/sensor management, and publishing of essential ROS messages like TF trees, odometry, and camera data. Further contributions included the addition of Lidar sensor support and modifications to vehicle control interfaces, along with enhancements to camera handling and documentation. The user also addressed issues like invalid depth conversion and improved control interfaces.
gazeboroboticsros2bridgesimulation
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