Deep learning for self-driving cars: Chances and challenges

Q Rao, J Frtunikj - Proceedings of the 1st international workshop on …, 2018 - dl.acm.org
Artificial Intelligence (AI) is revolutionizing the modern society. In the automotive industry,
researchers and developers are actively pushing deep learning based approaches for …

Autonomous vehicles: state of the art, future trends, and challenges

P Mallozzi, P Pelliccione, A Knauss, C Berger… - Automotive systems and …, 2019 - Springer
Autonomous vehicles are considered to be the next big thing. Several companies are racing
to put self-driving vehicles on the road by 2020. Regulations and standards are not ready for …

A survey on theories and applications for self-driving cars based on deep learning methods

J Ni, Y Chen, Y Chen, J Zhu, D Ali, W Cao - Applied Sciences, 2020 - mdpi.com
Self-driving cars are a hot research topic in science and technology, which has a great
influence on social and economic development. Deep learning is one of the current key …

A comprehensive survey on autonomous driving cars: A perspective view

S Devi, P Malarvezhi, R Dayana… - Wireless Personal …, 2020 - Springer
Over the past decades Machine Learning and Deep Learning algorithm played a vital part in
the development of Autonomous Vehicle. It is indeed for the perception system to examine …

[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 …

Trustworthy artificial intelligence requirements in the autonomous driving domain

D Fernandez-Llorca, E Gómez - Computer, 2023 - ieeexplore.ieee.org
Trustworthy Artificial Intelligence Requirements in the Autonomous Driving Domain Page 1
COVER FEATURE TRUSTWORTHY AI—PART I COMPUTER PUBLISHED BY THE IEEE …

A survey of deep learning techniques for autonomous driving

S Grigorescu, B Trasnea, T Cocias… - Journal of field …, 2020 - Wiley Online Library
The last decade witnessed increasingly rapid progress in self‐driving vehicle technology,
mainly backed up by advances in the area of deep learning and artificial intelligence (AI) …

Exploration of issues, challenges and latest developments in autonomous cars

B Padmaja, CHV Moorthy, N Venkateswarulu… - Journal of Big Data, 2023 - Springer
Autonomous cars have achieved exceptional growth in the automotive industry in the last
century in terms of reliability, safety and affordability. Due to significant advancements in …

End to end learning for self-driving cars

M Bojarski, D Del Testa, D Dworakowski… - arXiv preprint arXiv …, 2016 - arxiv.org
We trained a convolutional neural network (CNN) to map raw pixels from a single front-
facing camera directly to steering commands. This end-to-end approach proved surprisingly …

A survey of deep learning applications to autonomous vehicle control

S Kuutti, R Bowden, Y Jin, P Barber… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Designing a controller for autonomous vehicles capable of providing adequate performance
in all driving scenarios is challenging due to the highly complex environment and inability to …