Deep Learning Safety Concerns in Automated Driving Perception

7 September 2023

Papers citing "Deep Learning Safety Concerns in Automated Driving Perception"

7 / 7 papers shown

Title
Simulation-Based Performance Evaluation of 3D Object Detection Methods with Deep Learning for a LiDAR Point Cloud Dataset in a SOTIF-related Use Case Milin Patel Rolf Jung 3DPC 61 2 0 05 Mar 2025
A Systematic Literature Review on Safety of the Intended Functionality for Automated Driving Systems Milin Patel Rolf Jung M. Khatun 67 0 0 04 Mar 2025
Identification of Systematic Errors of Image Classifiers on Rare Subgroups J. H. Metzen Robin Hutmacher N. G. Hua Valentyn Boreiko Dan Zhang AAML VLM 50 18 0 09 Mar 2023
System Theoretic View on Uncertainties Roman Gansch Ahmad Adee 24 13 0 07 Mar 2023
From plane crashes to algorithmic harm: applicability of safety engineering frameworks for responsible ML Shalaleh Rismani Renee Shelby A. Smart Edgar W. Jatho Joshua A. Kroll AJung Moon Negar Rostamzadeh 27 36 0 06 Oct 2022
Thinking Beyond Distributions in Testing Machine Learned Models Negar Rostamzadeh B. Hutchinson Christina Greer Vinodkumar Prabhakaran TTA 32 6 0 06 Dec 2021
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 164 268 0 28 Sep 2021