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Ahmed Ben Hassen

@ahmedbenhassen

I build computer vision systems for automotive monitoring, validation, and privacy-preserving image processing.

Germany
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At BMW Group, I develop and validate computer vision functions for interior camera systems, focusing on Driver Monitoring Systems and Occupant Monitoring Systems.

I designed a privacy-preserving method to detect, plot, and blur car window regions so exterior surroundings are not captured. I've also built gaze-mapping methods between eye-tracking glasses and BMW interior cameras using data generation, extraction, ArUco-marker calibration, and shared coordinate systems.

I create practical tools that make computer vision development easier to evaluate and debug, including an automated trace-analysis pipeline and a GUI-based validation tool. I communicate findings across teams through structured tickets to support feature improvement.

Alongside my work, I'm pursuing a Master's in Robotics, Cognition, Intelligence at the Technical University of Munich, with a focus on machine learning and computer vision. My projects include drone-video analysis for road-user tracking and privacy-preserving pose estimation for operating-room scenarios.

Experience

Work history, roles, and key accomplishments

BMW Group logoBG

Working Student - Computer Vision

Jan 2024 - Jan 2026 (2 years)

Developing and validating computer vision functions for interior camera systems, focusing on Driver Monitoring Systems (DMS) and Occupant Monitoring Systems (OMS). Designed a privacy-preserving image processing method to detect and blur car window regions, and built automated trace analysis pipelines and GUI-based validation tools.

Education

Degrees, certifications, and relevant coursework

Technical University of Munich logoTM

Technical University of Munich

Master of Science, Robotics, Cognition, Intelligence

2024 -

Pursuing a Master of Science in Robotics, Cognition, Intelligence with a focus on Machine Learning and Computer Vision. Achieved top grades in practical and seminar courses, including Motion Planning for Autonomous Vehicles and Computer Vision in the Operating Room.

Tech stack

Software and tools used professionally

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