73 citations · 98 across the 5 of their papers we have counts for
6 papers
Benchmarking of a software stack for autonomous racing against a professional human race driver
Leonhard Hermansdorfer, Johannes Betz, Markus Lienkamp
The way to full autonomy of public road vehicles requires the step-by-step replacement of the human driver, with the ultimate goal of replacing the driver completely. Eventually, t…
Multilayer Graph-Based Trajectory Planning for Race Vehicles in Dynamic Scenarios
Tim Stahl, Alexander Wischnewski, Johannes Betz +1
Trajectory planning at high velocities and at the handling limits is a challenging task. In order to cope with the requirements of a race scenario, we propose a far-sighted two ste…
Energy Management Strategy for an Autonomous Electric Racecar using Optimal Control
Thomas Herrmann, Fabian Christ, Johannes Betz +1
The automation of passenger vehicles is becoming more and more widespread, leading to full autonomy of cars within the next years. Furthermore, sustainable electric mobility is gai…
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection
Felix Nobis, Maximilian Geisslinger, Markus Weber +2
Object detection in camera images, using deep learning has been proven successfully in recent years. Rising detection rates and computationally efficient network structures are pus…
Persistent Map Saving for Visual Localization for Autonomous Vehicles: An ORB-SLAM Extension
Felix Nobis, Odysseas Papanikolaou, Johannes Betz +1
Electric vhicles and autonomous driving dominate current research efforts in the automotive sector. The two topics go hand in hand in terms of enabling safer and more environmental…
Exploring the Capabilities and Limits of 3D Monocular Object Detection -- A Study on Simulation and Real World Data
Felix Nobis, Fabian Brunhuber, Simon Janssen +2
3D object detection based on monocular camera data is a key enabler for autonomous driving. The task however, is ill-posed due to lack of depth information in 2D images. Recent dee…