22 citations · 63 across the 16 of their papers we have counts for
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cs.CV2022
Understanding the Impact of Edge Cases from Occluded Pedestrians for ML Systems
Jens Henriksson, Christian Berger, Stig Ursing
Machine learning (ML)-enabled approaches are considered a substantial support technique of detection and classification of obstacles of traffic participants in self-driving vehicle…
cs.CV2021★ 1 cited
Are we ready for beyond-application high-volume data? The Reeds robot perception benchmark dataset
Ola Benderius, Christian Berger, Krister Blanch
This paper presents a dataset, called Reeds, for research on robot perception algorithms. The dataset aims to provide demanding benchmark opportunities for algorithms, rather than…
cs.CV2021
A Structured Analysis of the Video Degradation Effects on the Performance of a Machine Learning-enabled Pedestrian Detector
Christian Berger
ML-enabled software systems have been incorporated in many public demonstrations for automated driving (AD) systems. Such solutions have also been considered as a crucial approach…