Automotive safety validation in simulation

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Abstract/Contents

Abstract
Fully automated driving will require intelligent systems capable of understanding, reacting to, and interacting with the intricate complexities of the real world. With the onset of autonomous driving it becomes increasingly necessary to develop advanced tools for establishing trust in intelligent safety systems that act without or despite human input. This thesis presents novel contributions to simulation-based validation, including human driver behavior and sensor models, distributions over driving scenes, and a new technique for the accelerated validation of advanced automotive active safety systems such as autonomous vehicles. Advances to human driver behavior models include the introduction of behavioral cloning models based on Bayesian networks that better capture driver behavior over short horizons. A general input architecture for deep sensor models is introduced and used to develop a stochastic model over an automotive radar's power field. Original contributions are made to the representation of distributions over driving scenes and situations, which must capture a variable number of traffic participants on arbitrary roadways. Finally, this thesis introduces a new method for accelerated validation using importance sampling over clusters of critical situations, prioritizing simulation of critical scenes and avoiding countless simulations of benign driving scenarios while backing out the correct performance statistics.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2018
Issuance monographic
Language English

Creators/Contributors

Associated with Wheeler, Tim Allan
Associated with Stanford University, Department of Aeronautics and Astronautics.
Primary advisor Kochenderfer, Mykel J, 1980-
Thesis advisor Kochenderfer, Mykel J, 1980-
Thesis advisor Ermon, Stefano
Thesis advisor Pavone, Marco, 1980-
Advisor Ermon, Stefano
Advisor Pavone, Marco, 1980-

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Tim Allan Wheeler.
Note Submitted to the Department of Aeronautics and Astronautics.
Thesis Thesis (Ph.D.)--Stanford University, 2018.
Location electronic resource

Access conditions

Copyright
© 2018 by Tim Allan Wheeler
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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