Marcel Voßhans

Marcel Voßhans serves as a Researcher and Technical Project Leader for the AMEISE Team (Project RAFT) at Esslingen University of Applied Sciences' School of Computer Science and Engineering. He teaches specialized courses including Perceptional Algorithms, ROS, Sensory Systems (LiDAR/Camera), Autonomous Driving & Simulation, and Automotive Functional Safety.

Education:

• 2015-2018: B.Eng. in Electrical Engineering and Information Technology, Hochschule Hannover
• 2018-2020: M.Sc. in Applied Computer Science: Autonomous Systems, Hochschule Esslingen

Research Focus: His work centers on Autonomous Driving and AI-driven perception systems, with critical contributions to infrastructure reliability and sensor fusion for automated vehicles. He investigates how conventional road infrastructure interacts with autonomous systems through SLAM technology and deep learning-based environment detection.

Publication Trends: His recent works demonstrate a cohesive research trajectory addressing real-world autonomous driving challenges, particularly in vehicle classification using stereo vision (2020), infrastructure-vehicle interaction requirements (2020), and conventional infrastructure reliability validation (2021). These studies emphasize practical implementation of AI in automotive contexts with strong safety considerations.

Professional Background: Combines industry experience from Daimler AG (Steer-by-Wire development) and Continental Teves AG (testing rig automation) with academic leadership in the AMEISE research team. His international experience includes academic work in Sweden and China.