How to Drive -- An Ability-based Description of Autonomous, Remote and Human Driving

TL;DR

This paper introduces a comprehensive ability graph approach to formally describe complex autonomous, remote, and human driving systems, aiming to improve stakeholder analysis and system development processes.

Contribution

It presents a novel method for constructing holistic ability graphs that capture all necessary abilities for any driving system, extending previous models to complex systems.

Findings

Successfully demonstrates the construction of a comprehensive ability graph.

Shows applicability to complex autonomous and remote driving systems.

Highlights the potential for improved system requirement analysis.

Abstract

The development of autonomous and remote-operated driving systems requires extensive stakeholder analyses, requirement engineering, and formalized system descriptions. This is necessary to guarantee the success of the final product after the expensive and time-consuming development phase. To integrate a formalized description of the required abilites of the system, ability graphs have been proposed in the literature. Up to this date, however, this ability graph has only been used to model less complicated driver assistance systems in the literature. This work aims to introduce the value of an ability graph-based description of complex driving systems. This is achieved by successfully demonstrating and discussing a method for constructing a holistic ability graph capable of describing the entirety of abilities required for any driving system.