Navigational fuzzy logic control of an autonomous vehicle

The control of an autonomous passenger vehicle to reach a target amid static and dynamic obstacles is presented. To accommodate various model and environmental uncertainties, fuzzy logic is used in designing the vehicle's controller. The controller evaluates sensor information and outputs signals to change the vehicle's steering and throttle angles. To emulate human behavior, the controller is divided into separate modules. Each module deals with a specific navigational problem such as target steering, target throttle control, cornering throttle control, collision avoidance steering, and collision avoidance throttle control. Several simulation examples are included.

Name thesis:degree_name

Master of Science (MS)

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Mechanical Engineering

Grantor dc:publisher

University of Nevada, Las Vegas

Year

1998

Author dc:creator

• Hodge, Neil Eugene

Contributors dc:contributor

• Mohamed Trabia

Statement dc:rights

• IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/

Identifier

https://oasis.library.unlv.edu/rtds/879

OAI identifier oai:identifier

oai:oasis.library.unlv.edu:rtds-1878