[HTML][HTML] Autodrive: A comprehensive, flexible and integrated digital twin ecosystem for autonomous driving research & education

T Samak, C Samak, S Kandhasamy, V Krovi, M Xie - Robotics, 2023 - mdpi.com
Prototyping and validating hardware–software components, sub-systems and systems within
the intelligent transportation system-of-systems framework requires a modular yet flexible …

Autonomous vehicles digital twin: A practical paradigm for autonomous driving system development

B Yu, C Chen, J Tang, S Liu, JL Gaudiot - Computer, 2022 - ieeexplore.ieee.org
In this article, we share our real-world experiences of digital twin, a practical autonomous
driving system development paradigm, which generates an integral, comprehensive …

Opencda-ros: Enabling seamless integration of simulation and real-world cooperative driving automation

Z Zheng, X Han, X Xia, L Gao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Autonomous driving (AD) and Cooperative Driving Automation (CDA) hold great promise for
transforming mobility. However, current off-the-shelf AD or CDA platforms such as Autoware …

Integrated deep learning for self-driving robotic cars

T Gonsalves, J Upadhyay - Artificial Intelligence for Future Generation …, 2021 - Elsevier
In recent years, autonomous driving has become a hotbed of research in academia and
industry. However, the high cost of the infrastructure as well as of the specialized equipment …

[图书][B] Creating autonomous vehicle systems

S Liu, L Li, J Tang, S Wu, JL Gaudiot - 2018 - Springer
This book is one of the first technical overviews of autonomous vehicles written for a general
computing and engineering audience. The authors share their practical experiences …

A maneuver-based urban driving dataset and model for cooperative vehicle applications

B Toghi, D Grover, M Razzaghpour… - 2020 IEEE 3rd …, 2020 - ieeexplore.ieee.org
Short-term future of automated driving can be imagined as a hybrid scenario in which both
automated and human-driven vehicles co-exist in the same environment. In order to address …

The opencda open-source ecosystem for cooperative driving automation research

R Xu, H Xiang, X Han, X Xia, Z Meng… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Advances in Single-vehicle intelligence of automated driving has encountered great
challenges because of limited capabilities in perception and interaction with complex traffic …

[PDF][PDF] MIT autonomous vehicle technology study: Large-scale deep learning based analysis of driver behavior and interaction with automation

L Fridman, DE Brown, M Glazer, W Angell… - arXiv preprint arXiv …, 2017 - researchgate.net
Today, and possibly for a long time to come, the full driving task is too complex an activity to
be fully formalized as a sensing-acting robotics system that can be explicitly solved through …

Autonomous driving system: A comprehensive survey

J Zhao, W Zhao, B Deng, Z Wang, F Zhang… - Expert Systems with …, 2023 - Elsevier
Automation is increasingly at the forefront of transportation research, with the potential to
bring fully autonomous vehicles to our roads in the coming years. This comprehensive …

MIT advanced vehicle technology study: Large-scale naturalistic driving study of driver behavior and interaction with automation

L Fridman, DE Brown, M Glazer, W Angell… - IEEE …, 2019 - ieeexplore.ieee.org
Today, and possibly for a long time to come, the full driving task is too complex an activity to
be fully formalized as a sensing-acting robotics system that can be explicitly solved through …