Integrated stabilization and collision avoidance for automated vehicles in emergency scenarios

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Abstract/Contents

Abstract
As automated vehicles become more prevalent and capable, venturing out of research labs and onto public streets, they present an opportunity to further improve the safety of their passengers and other road users. This dissertation focuses on safety through the lenses of lateral stabilization and collision avoidance. First, a steering controller that integrates both of these responsibilities is developed, enabling the controller to deviate from a reference path to satisfy stabilization criteria while ensuring such deviations are made safely with respect to obstacles and road edges. Next, this concept is expanded to develop a controller that simultaneously plans lateral and longitudinal forces directly for the purposes of collision avoidance. Finally, the sensitivity of the stability of system to disturbances is analyzed, motivating a controller which models this sensitivity by propagating uncertain disturbances along a prediction horizon in the lateral velocity states. By minimizing this open-loop velocity uncertainty, the controller can plan and execute necessarily aggressive collision avoidance trajectories while reducing its sensitivity to modeling error.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2020; ©2020
Publication date 2020; 2020
Issuance monographic
Language English

Creators/Contributors

Author Brown, Matthew (Matthew J.)
Degree supervisor Gerdes, J. Christian
Thesis advisor Gerdes, J. Christian
Thesis advisor Kochenderfer, Mykel J, 1980-
Thesis advisor Pavone, Marco, 1980-
Degree committee member Kochenderfer, Mykel J, 1980-
Degree committee member Pavone, Marco, 1980-
Associated with Stanford University, Department of Mechanical Engineering

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Matthew Brown.
Note Submitted to the Department of Mechanical Engineering.
Thesis Thesis Ph.D. Stanford University 2020.
Location electronic resource

Access conditions

Copyright
© 2020 by Matthew Brown
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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