Recent advancements in end-to-end autonomous driving using deep learning: A survey

PS Chib, P Singh - IEEE Transactions on Intelligent Vehicles, 2023 - ieeexplore.ieee.org
End-to-End driving is a promising paradigm as it circumvents the drawbacks associated with
modular systems, such as their overwhelming complexity and propensity for error …

Perception and sensing for autonomous vehicles under adverse weather conditions: A survey

Y Zhang, A Carballo, H Yang, K Takeda - ISPRS Journal of …, 2023 - Elsevier
Abstract Automated Driving Systems (ADS) open up a new domain for the automotive
industry and offer new possibilities for future transportation with higher efficiency and …

Milestones in autonomous driving and intelligent vehicles: Survey of surveys

L Chen, Y Li, C Huang, B Li, Y **ng… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …

[HTML][HTML] Path planning algorithms in the autonomous driving system: A comprehensive review

M Reda, A Onsy, AY Haikal, A Ghanbari - Robotics and Autonomous …, 2024 - Elsevier
This comprehensive review focuses on the Autonomous Driving System (ADS), which aims
to reduce human errors that are the reason for about 95% of car accidents. The ADS …

[HTML][HTML] Implications of automated vehicles for physical road environment: A comprehensive review

O Tengilimoglu, O Carsten, Z Wadud - Transportation research part E …, 2023 - Elsevier
Automated vehicles (AVs) have received intense attention in academia and industry around
the world in recent years, but the imminent introduction of AVs brings new challenges and …

[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 …

Deep learning for safe autonomous driving: Current challenges and future directions

K Muhammad, A Ullah, J Lloret… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Advances in information and signal processing technologies have a significant impact on
autonomous driving (AD), improving driving safety while minimizing the efforts of human …

A tutorial on terahertz-band localization for 6G communication systems

H Chen, H Sarieddeen, T Ballal… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Terahertz (THz) communications are celebrated as key enablers for converged localization
and sensing in future sixth-generation (6G) wireless communication systems and beyond …

A survey of deep learning applications to autonomous vehicle control

S Kuutti, R Bowden, Y **, 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 …

Vision-based semantic segmentation in scene understanding for autonomous driving: Recent achievements, challenges, and outlooks

K Muhammad, T Hussain, H Ullah… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Scene understanding plays a crucial role in autonomous driving by utilizing sensory data for
contextual information extraction and decision making. Beyond modeling advances, the …