Major
Computer Engineering
Anticipated Graduation Year
2024
Access Type
Open Access
Abstract
Although the use of autonomous vehicles to transport people and objects from one location to another is an interesting concept, the operation of autonomous vehicles opens doors to various safety issues and security vulnerabilities. This is especially evident during the presence of traffic and unidentified obstacles on the road. In addition, the cost of the sensors used in autonomous vehicles is high and the sensor hardware itself is prone to malfunction and failure. Accurate operation of these sensors is important to the overall safety of the passengers inside the vehicle because they can determine whether an accident will be avoided.
Faculty Mentors & Instructors
Dr. Brook Abegaz
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
Design of a Predictive Method for Obstacle Detection and Safe Operation of Autonomous Vehicles
Although the use of autonomous vehicles to transport people and objects from one location to another is an interesting concept, the operation of autonomous vehicles opens doors to various safety issues and security vulnerabilities. This is especially evident during the presence of traffic and unidentified obstacles on the road. In addition, the cost of the sensors used in autonomous vehicles is high and the sensor hardware itself is prone to malfunction and failure. Accurate operation of these sensors is important to the overall safety of the passengers inside the vehicle because they can determine whether an accident will be avoided.