Affordable Modular Autonomous Vehicle Development Platform

TL;DR

This paper introduces RollE, an affordable, modular autonomous vehicle platform designed to facilitate research and development of self-driving technology in Africa, addressing financial barriers and promoting safety improvements.

Contribution

The paper presents the design of RollE, a low-cost, modular autonomous vehicle system capable of remote and autonomous operation using neural networks, tailored for resource-constrained environments.

Findings

Successfully demonstrated remote control and autonomous driving capabilities.

Provides a cost-effective platform for research and education.

Facilitates data collection for self-driving technology development.

Abstract

Road accidents are estimated to be the ninth leading cause of death across all age groups globally. 1.25 million people die annually from road accidents and Africa has the highest rate of road fatalities [1]. Research shows that three out of five road accidents are caused by driver-related behavioral factors [2]. Self-driving technology has the potential of saving lives lost to these preventable road accidents. Africa accounts for the majority of road fatalities and as such would benefit immensely from this technology. However, financial constraints prevent viable experimentation and research into self-driving technology in Africa. This paper describes the design of RollE, an affordable modular autonomous vehicle development platform. It is capable of driving via remote control for data collection and also capable of autonomous driving using a convolutional neural network. This system is aimed at providing students and researchers with an affordable autonomous vehicle to develop and test self-driving car technology.