no code implementations • 17 Feb 2023 • David Silva, Nicolas Jourdan, Nils Gählert
Computer vision-based object detection is a key modality for advanced Detect-And-Avoid systems that allow for autonomous flight missions of UAVs.
no code implementations • 1 Sep 2022 • Yannik Blei, Nicolas Jourdan, Nils Gählert
Convolutional Neural Networks (CNNs) are nowadays often employed in vision-based perception stacks for safetycritical applications such as autonomous driving or Unmanned Aerial Vehicles (UAVs).
no code implementations • 23 Jun 2020 • Nils Gählert, Jun-Jun Wan, Nicolas Jourdan, Jan Finkbeiner, Uwe Franke, Joachim Denzler
In this paper we propose a novel 3D single-shot object detection method for detecting vehicles in monocular RGB images.
no code implementations • 15 Jun 2020 • Nils Gählert, Niklas Hanselmann, Uwe Franke, Joachim Denzler
Object detection is an important task in environment perception for autonomous driving.
1 code implementation • 14 Jun 2020 • Nils Gählert, Nicolas Jourdan, Marius Cordts, Uwe Franke, Joachim Denzler
In addition, we complement the Cityscapes benchmark suite with 3D vehicle detection based on the new annotations as well as metrics presented in this work.