Radar-based environment perception for automotive applications
advances in artificial intelligence solutions for radar point cloudsElektronische Ressource, Wuppertal, 2022
Improving Artificial Intelligence performance through architectural and procedural a-priori
a case-study of optimising neural architectures for automotive applicationsElektronische Ressource, Wuppertal, Feb. 2022Aspects of active learning, architecture search and Lidar Panoptic Segmentation towards pedestrian perception in autonomous driving
Elektronische Ressource, Wuppertal, 2022Advances in Lidar Point Cloud Segmentation for automotive applications
segmenting outside the boxElektronische Ressource, Wuppertal, 2023Zukunftsstudie Automotive Region Bergisches Städtedreieck 2030
Wuppertal : Bergische Universität, [2020]Time-of-flight based interior sensing for automotive applications
optimization of neural network based training methods with limited dataElektronische Ressource, Wuppertal, 2021Contributions to machine learning in automotive camera and radar perception systems
applications of the sampling method in image classification and deep learning for radar-based object detectionElektronische Ressource, Wuppertal, 2023