Stuck State Detection Technology in Remote Monitoring System for Urban Autonomous Driving

Abstract

In driverless autonomous driving, there is a possibility that the vehicle gets stuck when autonomous vehicles face unpredictable situations. In this study, we propose a detection mechanism that can accurately and quickly identify the stuck state among stops to remotely assist in resolving the situation. The results of the experiment demonstrate that the proposal shortens the time required to resolve the stuck state and mitigates its impact on the traffic flow.