Low cost vehicle driving assistance system
Date
2020-05
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Abstract
The project intends to increase vehicle operator awareness with the integration of a Low-Cost
Driving Assistance system in older car models. Situational awareness during driving
significantly reduces the number of road traffic accidents, as proved by literature. A 4-wheel
mobile robot is used as the plant representing a vehicle for easier and rapid prototyping. The
plant is controlled by a Raspberry Pi3 to achieve the desired control choice as well as do all
required computational processes. Image processing using a retrained Resnet50 neural network
is adopted for road traffic signs. A 54% accuracy rate for image recognition is recorded. The
wheeled mobile robot is successfully modeled and deemed unstable while the circuit is
simulated and works as expected.
Description
Capstone Project submitted to the Department of Engineering, Ashesi University in partial fulfillment of the requirements for the award of Bachelor of Science degree in Electrical and Electronic Engineering, May 2020
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Senior project
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Keywords
traffic accidents, driver awareness, robot, road accident prevention