Shared Situational Awareness with V2X Communication and Set-membership Estimation

TL;DR

This paper presents a framework combining V2X communication and set-membership estimation to enhance situational awareness in autonomous vehicles, especially in urban scenarios with occlusions, providing safety guarantees and adaptability.

Contribution

It introduces a novel framework that integrates V2X communication with set-membership estimation to improve urban situational awareness for autonomous vehicles.

Findings

Framework provides safety guarantees in dynamic scenarios

Real-time implementation demonstrates effectiveness

Enhances perception despite occlusions

Abstract

The ability to perceive and comprehend a traffic situation and to estimate the state of the vehicles and road-users in the surrounding of the ego-vehicle is known as situational awareness. Situational awareness for a heavy-duty autonomous vehicle is a critical part of the automation platform and depends on the ego-vehicle's field-of-view. But when it comes to the urban scenario, the field-of-view of the ego-vehicle is likely to be affected by occlusion and blind spots caused by infrastructure, moving vehicles, and parked vehicles. This paper proposes a framework to improve situational awareness using set-membership estimation and Vehicle-to-Everything (V2X) communication. This framework provides safety guarantees and can adapt to dynamically changing scenarios, and is integrated into an existing complex autonomous platform. A detailed description of the framework implementation and real-time results are illustrated in this paper.