Cross-Dataset Experimental Study of Radar-Camera Fusion in Bird's-Eye View

no code implementations • 27 Sep 2023 • Lukas Stäcker, Philipp Heidenreich, Jason Rambach, Didier Stricker

By exploiting complementary sensor information, radar and camera fusion systems have the potential to provide a highly robust and reliable perception system for advanced driver assistance systems and automated driving functions.

object-detection Object Detection +1

RC-BEVFusion: A Plug-In Module for Radar-Camera Bird's Eye View Feature Fusion

no code implementations • 25 May 2023 • Lukas Stäcker, Shashank Mishra, Philipp Heidenreich, Jason Rambach, Didier Stricker

Radars and cameras belong to the most frequently used sensors for advanced driver assistance systems and automated driving research.

3D Object Detection object-detection

Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization

no code implementations • 18 Aug 2021 • Lukas Stäcker, Juncong Fei, Philipp Heidenreich, Frank Bonarens, Jason Rambach, Didier Stricker, Christoph Stiller

We therefore perform a case study of the deployment of two representative object detection networks on an edge AI platform.

3D Object Detection Object +3