Data authorisation and validation in autonomous vehicles: a critical review

Abstract Autonomous Vehicles (AVs) are becoming increasingly prevalent due to their potential to improve road safety and reduce environmental impact. These vehicles rely on Automated Driving Systems (ADS), which integrate multiple sensors and actuators. While some AVs operate with minimal human inte...

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Main Authors: Reem Alhabib, Poonam Yadav
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Discover Applied Sciences
Subjects:
Online Access:https://doi.org/10.1007/s42452-025-07333-2
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author Reem Alhabib
Poonam Yadav
author_facet Reem Alhabib
Poonam Yadav
author_sort Reem Alhabib
collection DOAJ
description Abstract Autonomous Vehicles (AVs) are becoming increasingly prevalent due to their potential to improve road safety and reduce environmental impact. These vehicles rely on Automated Driving Systems (ADS), which integrate multiple sensors and actuators. While some AVs operate with minimal human intervention, fully autonomous systems eliminate the need for human control entirely. Despite advances in AV technologies, secure and trustworthy data management remains a significant challenge. This survey focuses on two relatively underexplored aspects in AV environments: data authorisation and validation. It examines the key related challenges and reviews existing solutions. The findings highlight critical gaps in current approaches and suggest future research directions to enhance AV data authorisation and validation.
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publishDate 2025-07-01
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spelling doaj-art-0c4e3a7b474d4a31a0e17f98c06ce1ec2025-08-20T03:03:45ZengSpringerDiscover Applied Sciences3004-92612025-07-017714010.1007/s42452-025-07333-2Data authorisation and validation in autonomous vehicles: a critical reviewReem Alhabib0Poonam Yadav1Computer Science, University of YorkComputer Science, University of YorkAbstract Autonomous Vehicles (AVs) are becoming increasingly prevalent due to their potential to improve road safety and reduce environmental impact. These vehicles rely on Automated Driving Systems (ADS), which integrate multiple sensors and actuators. While some AVs operate with minimal human intervention, fully autonomous systems eliminate the need for human control entirely. Despite advances in AV technologies, secure and trustworthy data management remains a significant challenge. This survey focuses on two relatively underexplored aspects in AV environments: data authorisation and validation. It examines the key related challenges and reviews existing solutions. The findings highlight critical gaps in current approaches and suggest future research directions to enhance AV data authorisation and validation.https://doi.org/10.1007/s42452-025-07333-2Autonomous vehicleAutomated driving systemData authorisationData validation
spellingShingle Reem Alhabib
Poonam Yadav
Data authorisation and validation in autonomous vehicles: a critical review
Discover Applied Sciences
Autonomous vehicle
Automated driving system
Data authorisation
Data validation
title Data authorisation and validation in autonomous vehicles: a critical review
title_full Data authorisation and validation in autonomous vehicles: a critical review
title_fullStr Data authorisation and validation in autonomous vehicles: a critical review
title_full_unstemmed Data authorisation and validation in autonomous vehicles: a critical review
title_short Data authorisation and validation in autonomous vehicles: a critical review
title_sort data authorisation and validation in autonomous vehicles a critical review
topic Autonomous vehicle
Automated driving system
Data authorisation
Data validation
url https://doi.org/10.1007/s42452-025-07333-2
work_keys_str_mv AT reemalhabib dataauthorisationandvalidationinautonomousvehiclesacriticalreview
AT poonamyadav dataauthorisationandvalidationinautonomousvehiclesacriticalreview