Research papers · Posted 2019.12.20 · Publication / acceptance: author-reported
Practical Solutions for Machine Learning Safety in Autonomous Vehicles
Practical Solutions for Machine Learning Safety in Autonomous Vehicles
Overview
The paper maps practical ML techniques to safety strategies for autonomous-vehicle perception and planning. It discusses interpretability, verification, and performance limitations, alongside security and user-experience considerations for dependable ML components.
Publication and version information
Publication, acceptance or venue information is author-reported on arXiv. The exact source wording is preserved below.
Author-supplied source information
Author-supplied information on arXiv.
Accepted at Safe AI workshop at AAAI 2020
Version: arXiv v1 — manuscript revision