Mapping and Localization for an Autonomous Racecar In my first big software project during my studies, I developed the Localization and Mapping algorithm for the autonomous racecar “gotthard driverless”. The algorithm fuses estimates from camera, LiDAR and inertial sensors in a late-fusion approach into a coherent map.We were able to publish a paper about our …

Autonomous Racing for the Formula Student Driverless Competition Read More »

Machine Learning at Toyota Research Institute in California I’ve spent 6 months in California working on Imitation Learning for path planning, which was later published at IROS 2020. In this work we tackle the challenge of false-positive observations from typical modern perception systems. For this we propose a novel birds-eye-view representation of the scene, that encodes …

Machine Learning at Toyota Research Institute in California Read More »

Driveworks SDK at NVIDIA Since March 2020 I work on autonomous driving software at NVIDIA in Zurich. We create an API for OEMs, that facilitates the integration of NVIDIA specific hardware – leveraging the extreme performance benefits of accelerated computing.  I’m part of the Egomotion Team in Zurich, Switzerland. Our goal is to estimate the …

Driveworks SDK at NVIDIA Read More »