Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks

22 January 2020

Papers citing "Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks"

31 / 31 papers shown

Title
A Systematic Literature Review on Safety of the Intended Functionality for Automated Driving Systems Milin Patel Rolf Jung M. Khatun 69 0 0 04 Mar 2025
Landscape of AI safety concerns - A methodology to support safety assurance for AI-based autonomous systems Ronald Schnitzer Lennart Kilian Simon Roessner Konstantinos Theodorou Sonja Zillner 89 0 0 18 Dec 2024
Real-Time Truly-Coupled Lidar-Inertial Motion Correction and Spatiotemporal Dynamic Object Detection Cedric Le Gentil Raphael Falque Teresa Vidal-Calleja 33 4 0 07 Oct 2024
Learning-Based Error Detection System for Advanced Vehicle Instrument Cluster Rendering Cornelius Bürkle Fabian Oboril Kay-Ulrich Scholl 18 0 0 04 Sep 2024
Investigating Calibration and Corruption Robustness of Post-hoc Pruned Perception CNNs: An Image Classification Benchmark Study Pallavi Mitra Gesina Schwalbe Nadja Klein AAML 36 1 0 31 May 2024
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review Anton Kuznietsov Balint Gyevnar Cheng Wang Steven Peters Stefano V. Albrecht XAI 28 26 0 08 Feb 2024
A Safety-Adapted Loss for Pedestrian Detection in Automated Driving Maria Lyssenko Piyush Pimplikar Maarten Bieshaar Farzad Nozarian Rudolph Triebel 30 2 0 05 Feb 2024
Characterizing Perspective Error in Voxel-Based Lidar Scan Matching Jason Rife Matthew McDermott 24 3 0 24 Jan 2024
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement Holger Boche Adalbert Fono Gitta Kutyniok FaML 31 4 0 18 Jan 2024
Synergistic Perception and Control Simplex for Verifiable Safe Vertical Landing Ayoosh Bansal Yang Zhao James Zhu Sheng Cheng Yuliang Gu Hyung-Jin Yoon Hunmin Kim N. Hovakimyan Lui Sha 26 2 0 05 Dec 2023
Labeling Neural Representations with Inverse Recognition Kirill Bykov Laura Kopf Shinichi Nakajima Marius Kloft Marina M.-C. Höhne BDL 29 15 0 22 Nov 2023
AI Hazard Management: A framework for the systematic management of root causes for AI risks Ronald Schnitzer Andreas Hapfelmeier Sven Gaube Sonja Zillner 24 3 0 25 Oct 2023
Deep Learning Safety Concerns in Automated Driving Perception Stephanie Abrecht Alexander Hirsch Shervin Raafatnia Matthias Woehrle 26 12 0 07 Sep 2023
SURE-Val: Safe Urban Relevance Extension and Validation Kai Storms Kent Mori S. Peters 25 3 0 04 Aug 2023
Combating noisy labels in object detection datasets K. Chachula Jakub Lyskawa Bartlomiej Olber Piotr Fratczak A. Popowicz Krystian Radlak NoLa 26 4 0 25 Nov 2022
Perception Simplex: Verifiable Collision Avoidance in Autonomous Vehicles Amidst Obstacle Detection Faults Ayoosh Bansal Hunmin Kim Simon Yu Bo-wen Li N. Hovakimyan Marco Caccamo L. Sha AAML 37 4 0 04 Sep 2022
Verifiable Obstacle Detection Ayoosh Bansal Hunmin Kim Simon Yu Bo-Yi Li N. Hovakimyan Marco Caccamo L. Sha 28 6 0 30 Aug 2022
Mitigating Shadows in Lidar Scan Matching using Spherical Voxels Matthew McDermott Jason Rife 21 6 0 01 Aug 2022
Tailored Uncertainty Estimation for Deep Learning Systems Joachim Sicking Maram Akila Jan David Schneider Fabian Hüger Peter Schlicht Tim Wirtz Stefan Wrobel UQCV 29 1 0 29 Apr 2022
Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a Pedestrian Automatic Emergency Brake System Markus Borg Jens Henriksson Kasper Socha Olof Lennartsson Elias Sonnsjo Lonegren T. Bui Piotr Tomaszewski S. Sathyamoorthy Sebastian Brink M. H. Moghadam 35 23 0 16 Apr 2022
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges Huaming Chen Muhammad Ali Babar AAML 37 21 0 12 Jan 2022
Is the Rush to Machine Learning Jeopardizing Safety? Results of a Survey M. Askarpour Alan Wassyng M. Lawford R. Paige Z. Diskin 23 0 0 29 Nov 2021
Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection Koby Bibas M. Feder Tal Hassner OODD 33 24 0 18 Oct 2021
Single-Step Adversarial Training for Semantic Segmentation D. Wiens Barbara Hammer SSeg AAML 20 1 0 30 Jun 2021
Exposing Previously Undetectable Faults in Deep Neural Networks Isaac Dunn Hadrien Pouget Daniel Kroening T. Melham AAML 26 28 0 01 Jun 2021
Quality Assurance Challenges for Machine Learning Software Applications During Software Development Life Cycle Phases Md. Abdullah Al Alamin Gias Uddin 32 11 0 03 May 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 13 58 0 29 Apr 2021
Requirement Engineering Challenges for AI-intense Systems Development Hans-Martin Heyn E. Knauss Amna Pir Muhammad O. Eriksson Jennifer Linder P. Subbiah S. K. Pradhan Sagar Tungal 30 33 0 18 Mar 2021
A Review of Testing Object-Based Environment Perception for Safe Automated Driving Michael Hoss Maike Scholtes L. Eckstein 33 48 0 16 Feb 2021
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving Di Feng Ali Harakeh Steven Waslander Klaus C. J. Dietmayer AAML UQCV EDL 24 223 0 20 Nov 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015