2 papers
cs.RO2020
Accurate Mapping and Planning for Autonomous Racing
Leiv Andresen, Adrian Brandemuehl, Alex Hönger +11
This paper presents the perception, mapping, and planning pipeline implemented on an autonomous race car. It was developed by the 2019 AMZ driverless team for the Formula Student G…
cs.CV2020
Deep Unsupervised Common Representation Learning for LiDAR and Camera Data using Double Siamese Networks
Andreas Bühler, Niclas Vödisch, Mathias Bürki +1
Domain gaps of sensor modalities pose a challenge for the design of autonomous robots. Taking a step towards closing this gap, we propose two unsupervised training frameworks for f…