What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving
J Breitenstein, F Heidecker… - Proceedings of the …, 2023 - openaccess.thecvf.com
In safety-critical applications such as automated driving, perception errors may create an
imminent risk to vulnerable road users (VRU). To mitigate the occurrence of unexpected and …
imminent risk to vulnerable road users (VRU). To mitigate the occurrence of unexpected and …
Deep learning safety concerns in automated driving perception
S Abrecht, A Hirsch, S Raafatnia… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Recent advances in the field of deep learning and impressive performance of deep neural
networks (DNNs) for perception have resulted in an increased demand for their use in …
networks (DNNs) for perception have resulted in an increased demand for their use in …
SHARD: Safety and human performance analysis for requirements in detection
KT Mori, S Peters - IEEE Transactions on Intelligent Vehicles, 2023 - ieeexplore.ieee.org
Automated driving requires reliable perception of the environment to ensure the safety of the
driving task. One common perception task is 3D object detection, which aims at perceiving …
driving task. One common perception task is 3D object detection, which aims at perceiving …
A safety-adapted loss for pedestrian detection in automated driving
M Lyssenko, P Pimplikar, M Bieshaar… - ar** the future of
safe and reliable self-driving technology by offering a cost-effective and scalable alternative …
safe and reliable self-driving technology by offering a cost-effective and scalable alternative …
Checklist to Transparently Define Test Oracles for TP, FP, and FN Objects in Automated Driving
M Hoss - arxiv preprint arxiv:2308.07106, 2023 - arxiv.org
Popular test oracles for the perception subsystem of driving automation systems identify true-
positive (TP), false-positive (FP), and false-negative (FN) objects. Oracle transparency is …
positive (TP), false-positive (FP), and false-negative (FN) objects. Oracle transparency is …
EC-IoU: Orienting Safety for Object Detectors via Ego-Centric Intersection-over-Union
This paper presents safety-oriented object detection via a novel Ego-Centric Intersection-
over-Union (EC-IoU) measure, addressing practical concerns when applying state-of-the-art …
over-Union (EC-IoU) measure, addressing practical concerns when applying state-of-the-art …
A Flow-Based Credibility Metric for Safety-Critical Pedestrian Detection
Safety is of utmost importance for perception in automated driving (AD). However, a prime
safety concern in state-of-the-art object detection is that standard evaluation schemes utilize …
safety concern in state-of-the-art object detection is that standard evaluation schemes utilize …