Max Schmidt — accepted AI-conference papers

2022

A Modular and Portable Black Box Recorder for Increased Transparency of Autonomous Service Robots

Max Schmidt, Jérôme Kirchhoff, Oskar von Stryk

RA-L 2022

Autonomous service robots have great potential to support humans in tasks they cannot perform due to, amongst others, time constraints, work overload, or staff shortages. An important step for such service robots to be trusted or accepted by society is the provision of transparency. Its purpose is n

Cited by 8 Source ↗Scholar ↗

2019

Object Classification Based on Unsupervised Learned Multi-Modal Features For Overcoming Sensor Failures

Julia Nitsch, Juan Nieto, Roland Siegwart, Max Schmidt, Cesar Cadena

ICRA 2019poster

For autonomous driving applications it is critical to know which type of road users and road side infrastructure are present to plan driving manoeuvres accordingly. Therefore autonomous cars are equipped with different sensor modalities to robustly perceive its environment. However, for classificati…

Cited by 4 Source ↗Scholar ↗