Research Associate at Technical University of Applied Sciences Augsburg

Contact: [email protected]

Samuel Leitenmaier received his B. Eng. in Computer Engineering and M. Sc. in Applied Research on Computer Science from the Technical University of Applied Sciences Augsburg. He is currently a research associate at the Driverless Mobility research group. His main focus lies on the strong interaction between motion planning and scene understanding of autonomous vehicles with a special focus on heterogeneous computing architectures utilizing these.

• Autonomous Driving
• Motion Planning, Navigation, Scene Understanding
• Heterogeneous Computing with FPGAs
• Efficient Hardware / Software using SoC

• Towards Specialized Hardware for Autonomous Driving Functions: THAccelerated Motion Planner. IEEE International Conference on Robotics and Automation , Workshop RoboARCH: Robotics Acceleration with Computing Hardware and Systems, 2025. Abstract
• Autonomous Electric Race Car Inverter Development: Revving up the future with resource efficient drive technology. IEEE Electrification Magazine, vol. 11, no. 2, 2023. Article

This project developed as part of the Driverless Mobility research group at Technical Univeristy of Applied Sciences Augsburg.

These results are part of HiL testing and real-world testing with a research vehicle. Four scenarios can be seen.

HiL	Real-world

HiL	Real-world

HiL	Real-world

HiL	Real-world

Metrics are: FPS, W. On Jetson TX2 jtop was used to measure power consumption, on Ultrascale MPSoC sysmonwas used.

Detected cars on THA campus using FPGA

Jetson TX2	UltraZed

• Motor Encoder Interface
• External Differntial ADC Interface

• Emdedded Linux CAN to AXI Interface

• Forked Uboot config
• Forked Xilinx Linux config