Vol. 3 No. 1 (2023): African Journal of Artificial Intelligence and Sustainable Development
Articles

Towards Trustworthy Perception in Autonomous Vehicles - Integrating IoT and Cybersecurity Measures: Explores methods to ensure trustworthy perception in AVs by integrating IoT and cybersecurity measures

Dr. Natalia Popova
Associate Professor of Artificial Intelligence, National Research University – Electronic Technology (MIET), Russia
Cover

Published 14-05-2023

Keywords

  • Autonomous Vehicles (AVs),
  • Perception,
  • Internet of Things (IoT)

How to Cite

[1]
Dr. Natalia Popova, “Towards Trustworthy Perception in Autonomous Vehicles - Integrating IoT and Cybersecurity Measures: Explores methods to ensure trustworthy perception in AVs by integrating IoT and cybersecurity measures”, African J. of Artificial Int. and Sust. Dev., vol. 3, no. 1, pp. 170–179, May 2023, Accessed: Dec. 25, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/59

Abstract

The realization of fully autonomous vehicles (AVs) hinges on their ability to perceive the surrounding environment with exceptional accuracy and reliability. This perception system, heavily reliant on sensor data, plays a crucial role in decision-making and safe navigation. However, current sensor-based perception systems face limitations due to factors like occlusions, adverse weather conditions, and limited field-of-view. This vulnerability creates a gap between perception and reality, potentially leading to safety hazards.

This paper explores the concept of trustworthy perception in AVs and investigates methods to bridge this perception gap. The paper proposes the integration of Internet of Things (IoT) and robust cybersecurity measures as a potential solution.

IoT devices deployed in the transportation infrastructure, such as smart traffic lights, connected roadside units, and vehicle-to-everything (V2X) communication, offer a wealth of environmental data beyond the immediate sensor range of an AV. This data can enhance the perception capabilities of AVs by providing real-time information on road conditions, traffic flow, and potential hazards beyond their line-of-sight.

However, the integration of IoT introduces new challenges. The reliance on external data sources raises concerns about data integrity and security. Malicious actors could potentially exploit vulnerabilities in the communication network or manipulate sensor data to disrupt AV decision-making. This necessitates the implementation of robust cybersecurity measures to ensure the trustworthiness and authenticity of the perceived environment.

By integrating information from the IoT network and implementing robust cybersecurity measures, AVs can achieve a more trustworthy perception of the environment, ultimately leading to safer and more reliable autonomous transportation.

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