Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization. - Lukas Stäcker; Juncong Fei; Philipp Heidenreich; Frank Bonarens; Jason R. Rambach; Didier Stricker; Christoph Stiller (ICCVW, 2021)

Automotive Radar Signal Processing: Research Directions and Practical Challenges. - Florian Engels; Philipp Heidenreich; Markus Wintermantel; Lukas Stäcker; Muhammed Al Kadi; Abdelhak M. Zoubir (IEEE J. Sel. Top. Signal Process., 2021)

Situational Collective Perception: Adaptive and Efficient Collective Perception in Future Vehicular Systems. - Ahmad Khalil 002; Tobias Meuser; Yassin Alkhalili; Antonio Fernández Anta; Lukas Stäcker; Ralf Steinmetz (VEHITS, 2022)

Fusion Point Pruning for Optimized 2D Object Detection with Radar-Camera Fusion. - Lukas Stäcker; Philipp Heidenreich; Jason R. Rambach; Didier Stricker (WACV, 2022)

RC-BEVFusion: A Plug-In Module for Radar-Camera Bird's Eye View Feature Fusion. - Lukas Stäcker; Shashank Mishra; Philipp Heidenreich; Jason R. Rambach; Didier Stricker (DAGM, 2023)

Cross-Dataset Experimental Study of Radar-Camera Fusion in Bird's-Eye View. - Lukas Stäcker; Philipp Heidenreich; Jason R. Rambach; Didier Stricker (EUSIPCO, 2023)