Autonomous driving architectures, perception and data fusion: A review

G Velasco-Hernandez, J Barry… - 2020 IEEE 16th …, 2020 - ieeexplore.ieee.org
Over the last 10 years, huge advances have been made in the areas of sensor technologies
and processing platforms, pushing forward developments in the field of autonomous …

Functional architecture for autonomous driving and its implementation

R Novickis, A Levinskis, R Kadikis… - 2020 17th Biennial …, 2020 - ieeexplore.ieee.org
It is predicted that due to such technology-driven trends as electrification, connectivity,
autonomous driving and diverse mobility, the automotive market will reach a size of 6.7 …

System design for a driverless autonomous racing vehicle

J Culley, S Garlick, EG Esteller… - … Networks and Digital …, 2020 - ieeexplore.ieee.org
The rising popularity of autonomous vehicles has led to the development of driverless racing
cars, where the competitive nature of motorsport has the potential to drive innovations in …

[HTML][HTML] Deep learning sensor fusion for autonomous vehicle perception and localization: A review

J Fayyad, MA Jaradat, D Gruyer, H Najjaran - Sensors, 2020 - mdpi.com
Autonomous vehicles (AV) are expected to improve, reshape, and revolutionize the future of
ground transportation. It is anticipated that ordinary vehicles will one day be replaced with …

Challenges in aggregation of heterogeneous sensors for Autonomous Driving Systems

JP Giacalone, L Bourgeois… - 2019 IEEE sensors …, 2019 - ieeexplore.ieee.org
This paper is highlighting the complexity associated with sensors aggregation in an
autonomous driving system regarding aspects of sensing technologies, space coverage …

[HTML][HTML] Autonomous driving architectures: insights of machine learning and deep learning algorithms

MR Bachute, JM Subhedar - Machine Learning with Applications, 2021 - Elsevier
Abstract Research in Autonomous Driving is taking momentum due to the inherent
advantages of autonomous driving systems. The main advantage being the disassociation …

Autonomous cars, 5g mobile networks and smart cities: Beyond the hype

F Raissi, S Yangui, F Camps - 2019 IEEE 28th International …, 2019 - ieeexplore.ieee.org
This paper proposes one more slice of the next-generation self-driving automobile. It
introduces an innovative and smart architecture that enables collaborative interactions …

Survey of state-of-art autonomous driving technologies with deep learning

Y Huang, Y Chen - 2020 IEEE 20th international conference on …, 2020 - ieeexplore.ieee.org
This is a survey of autonomous driving technologies with deep learning methods. We
investigate the major fields of self-driving systems, such as perception, mapping and …

A comprehensive review of embedded systems in autonomous vehicles: Trends, challenges, and future directions

S Sonko, EA Etukudoh, KI Ibekwe, VI Ilojianya… - World Journal of …, 2024 - wjarr.com
The integration of embedded systems in autonomous vehicles represents a transformative
paradigm shift in the automotive industry, offering unprecedented opportunities for …

Prystine-programmable systems for intelligence in automobiles

N Druml, G Macher, M Stolz… - 2018 21st Euromicro …, 2018 - ieeexplore.ieee.org
Among the actual trends that will affect society in the coming years, autonomous driving
stands out as having the potential to disruptively change the automotive industry as we know …