Overtaking Mechanisms Based on Augmented Intelligence for Autonomous Driving: Data Sets, Methods, and Challenges-Reference-Cited by-同舟云学术

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Overtaking Mechanisms Based on Augmented Intelligence for Autonomous Driving: Data Sets, Methods, and Challenges

Published:2024-05-15 Issue:10 Volume:11 Page:17911-17933
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Chamola Vinay¹^ORCID,Chougule Amit¹^ORCID,Sam Aishwarya²^ORCID,Hussain Amir³^ORCID,Yu Fei Richard⁴^ORCID

Affiliation:

1. Department of Electrical and Electronics Engineering and APPCAIR, BITS-Pilani, Pilani, India

2. Department of Computer Science and Information Systems, BITS-Pilani, Pilani, India

3. School of Computing, Edinburgh Napier University, Edinburgh, U.K.

4. School of Information Technology, Carleton University, Ottawa, ON, Canada

Funder

SICI Shastri Institutional Collaborative Research Grant (SICRG) Grant, the Government of Canada’s National Crime Prevention Strategy

Natural Sciences and Engineering Research Council of Canada CREATE Program for Building Trust in Connected and Autonomous Vehicles

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10528217/10488044.pdf?arnumber=10488044

Reference247 articles.

1. Transition to manual: Driver behaviour when resuming control from a highly automated vehicle

2. How can humans understand their automated cars? HMI principles, problems and solutions

3. Intelligent Identification of Moving Trajectory of Autonomous Vehicle Based on Friction Nano-Generator

4. Potential sources of sensor data anomalies for autonomous vehicles: An overview from road vehicle safety perspective

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