AI Sovereignty in Autonomous Driving: Exploring Needs and Possibilities for Overcoming Challenges

Title

AI Sovereignty in Autonomous Driving: Exploring Needs and Possibilities for Overcoming Challenges

Creator

Sinha K.; Misra B.; Chakraborty S.; Dey N.

Description

With the development of artificial intelligence, advancements in navigation systems for self-driving cars have become a new direction over the last decade. The inclusion of AI-driven actuators in autonomous vehicles has broken the barriers in terms of real-time high-quality data processing resources, accuracy of decisive actions and generalization of environment-action pairs. Upgradation from a car with no automation to a car with minimal to no human intervention has become a boon of AI, as it resolves most of the transportation problems on roads, including human error, lack of visibility in adverse weather conditions, tiredness of drivers in long journeys, etc. This study focuses on AI-enabled tasks, including object detection and identification, lane detection, notification for lane departure and reinforcement learning from the operational environment. However, there exist serious issues in deploying AI-empowered modules in autonomous cars, as the consumer rights to explain, trustworthiness, and reliability of the machine have not yet met the requirements. Our work explores the needs and prospects of AI sovereignty in autonomous driving by overcoming the aforementioned issues so that the healthy progress of technological society can take care of the future world. 2023 IEEE.

Source

Conference Proceedings - 2023 IEEE Silchar Subsection Conference, SILCON 2023

Date

2023-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Autonomous car; Explainable artificial intelligence; Intelligent transport system

Coverage

Sinha K., Christ (Deemed to Be University), Department of Statistics and Data Science, Bangalore, India; Misra B., Techno International New Town, Department of Computer Science Engineering, Kolkata, India; Chakraborty S., Techno International New Town, Department of Computer Science Engineering, Kolkata, India; Dey N., Techno International New Town, Department of Computer Science Engineering, Kolkata, India

Rights

Restricted Access

Relation

ISBN: 979-835031414-4

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/SILCON59133.2023.10405285

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185720089&doi=10.1109%2fSILCON59133.2023.10405285&partnerID=40&md5=c8237c95d5857d8a077b569a81c8f63d