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Engineering Safety Requirements for Autonomous Driving with Large Language Models
Changes and updates in the requirement artifacts, which can be frequent in the automotive domain, are a challenge for SafetyOps.
On STPA for Distributed Development of Safe Autonomous Driving: An Interview Study
Safety analysis is used to identify hazards and build knowledge during the design phase of safety-relevant functions.
Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models
DevOps is a necessity in many industries, including the development of Autonomous Vehicles.
Training CNNs faster with Dynamic Input and Kernel Downsampling
We reduce training time in convolutional networks (CNNs) with a method that, for some of the mini-batches: a) scales down the resolution of input images via downsampling, and b) reduces the forward pass operations via pooling on the convolution filters.
Multi-resolution Exploration in Continuous Spaces
The essence of exploration is acting to try to decrease uncertainty.
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