Hazard Monitoring for Particle Swarm Motion of Autonomous Vehicles

The study proposed here explores an unconventional approach to solve the problem of safely integrating and coordinating the motion of a network of smart vehicles. Specifically, this work will explore the creation of ad-hoc rules for monitoring the lateral and longitudinal movement of multiple AVs ba...

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Bibliographic Details
Main Authors: Favaro, Francesca M., Agarwal, Shivangi, Nader, Nazanin
Format: Conference Proceeding
Language:English
Subjects:
autonomous vehicles
hazard monitoring
particle swarm
safety triggers
Online Access:Request full text
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Description
Summary:The study proposed here explores an unconventional approach to solve the problem of safely integrating and coordinating the motion of a network of smart vehicles. Specifically, this work will explore the creation of ad-hoc rules for monitoring the lateral and longitudinal movement of multiple AVs based on behavior that mimics swarm and flock movement in nature (or particle swarm motion). The goal is that of generalizing what systems like adaptive cruise control do currently by leveraging an entire family of vehicles, instead of a single master. The notion of hazard level is used to monitor safety thresholds related to vehicle separation and to trigger lateral and longitudinal control of the vehicles.
ISSN:2640-0138
DOI:10.1109/IGESC.2018.8745551