Microservice-based Approach to Integrate V2X with Autonomous Mobility

This paper proposes an architecture for enhancing autonomous vehicle perception and decision through a microservice-based framework based on Data Distribution Service (DDS). This framework leverages vehicular and cellular communications to enhance collective perception and cooperative planning through Vehicle to Everything (V2X) messages exchanged between vehicles and infrastructure. Central to our system is the Vehicle Programming Interface (VPI), which seamlessly integrates data from the vehicle control (Autoware) with information from services. This integration allows for dynamic vehicle control and enhanced awareness by leveraging both on-board and infrastructure sensors data and V2X messages. Our system not only demonstrates the ability to handle critical scenarios effectively, such as coordinating responses to emergency situations and planning based on on-board and infrastructure data, but it also provides essential information that contributes to a shared understanding of the environment. The results showcase the potential of our architecture to improve decision-making processes and operational efficiency in autonomous driving systems.

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Publication Details

Published
2024-10-15
DOI
https://doi.org/10.1109/fnwf63303.2024.11028714
Citations
3
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
1.05
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article

Microservice-based Approach to Integrate V2X with Autonomous Mobility

Susana Sargento, Pedro Rito, Andreia Figueiredo, João Amaral
3 citations
Software System Performance and Reliability
1.05
article

Microservice-based Approach to Integrate V2X with Autonomous Mobility

Susana Sargento, Pedro Rito, Andreia Figueiredo, João Amaral
article en
3 citations

Abstract

This paper proposes an architecture for enhancing autonomous vehicle perception and decision through a microservice-based framework based on Data Distribution Service (DDS). This framework leverages vehicular and cellular communications to enhance collective perception and cooperative planning through Vehicle to Everything (V2X) messages exchanged between vehicles and infrastructure. Central to our system is the Vehicle Programming Interface (VPI), which seamlessly integrates data from the vehicle control (Autoware) with information from services. This integration allows for dynamic vehicle control and enhanced awareness by leveraging both on-board and infrastructure sensors data and V2X messages. Our system not only demonstrates the ability to handle critical scenarios effectively, such as coordinating responses to emergency situations and planning based on on-board and infrastructure data, but it also provides essential information that contributes to a shared understanding of the environment. The results showcase the potential of our architecture to improve decision-making processes and operational efficiency in autonomous driving systems.

Instituto de Telecomunicações (PT), University of Aveiro (PT)
Affordable and clean energy
Openalex Percentile: Top 20%
Software System Performance and Reliability
1.05
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