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How Safe Is Safe Enough?: Measuring and Predicting Autonomous Vehicle Safety
How Safe Is Safe Enough for Autonomous Vehicles?
The most pressing question regarding autonomous vehicles will they be safe enough? The usual metric of "at least as safe as a human driver" is more complex than it might seem. Which human driver, under what conditions? And are fewer total fatalities OK even if it means more pedestrians die? Who gets to decide what safe enough really means when billions of dollars are on the line? And how will anyone really know the outcome will be as safe as it needs to be when the technology initially deploys without a safety driver?
This book is written by an internationally known expert with more than 25 years of experience in self-driving car safety. It covers terminology, autonomous vehicle (AV) safety challenges, risk acceptance frameworks, what people mean by "safe," setting an acceptable safety goal, measuring safety, safety cases, safety performance indicators, deciding when to deploy, and ethical AV deployment. The emphasis is not on how to build machine learning based systems, but rather on how to measure whether the result will be acceptably safe for real-world deployment. Written for engineers, policy stakeholders, and technology enthusiasts, this book tells you how to figure out what "safe enough" really means, and provides a framework for knowing that an autonomous vehicle is ready to deploy safely.
(Version 1.00.01 with minor corrections.)
The most pressing question regarding autonomous vehicles will they be safe enough? The usual metric of "at least as safe as a human driver" is more complex than it might seem. Which human driver, under what conditions? And are fewer total fatalities OK even if it means more pedestrians die? Who gets to decide what safe enough really means when billions of dollars are on the line? And how will anyone really know the outcome will be as safe as it needs to be when the technology initially deploys without a safety driver?
This book is written by an internationally known expert with more than 25 years of experience in self-driving car safety. It covers terminology, autonomous vehicle (AV) safety challenges, risk acceptance frameworks, what people mean by "safe," setting an acceptable safety goal, measuring safety, safety cases, safety performance indicators, deciding when to deploy, and ethical AV deployment. The emphasis is not on how to build machine learning based systems, but rather on how to measure whether the result will be acceptably safe for real-world deployment. Written for engineers, policy stakeholders, and technology enthusiasts, this book tells you how to figure out what "safe enough" really means, and provides a framework for knowing that an autonomous vehicle is ready to deploy safely.
(Version 1.00.01 with minor corrections.)
Paperback
Published September 2, 2022
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Displaying 1 - 2 of 2 reviews
May 18, 2023
Solid overview of many topics concerning safe AV development and deployment. Ultimately concerned with answering how safe is safe enough to deploy, and argues that the key answer is to build up a solid safety case, backed up by leading and lagging safety performance indicators.
August 7, 2023
I guess you could just read Koopman's papers and presentations but I enjoyed having it all in one place.
Displaying 1 - 2 of 2 reviews