Social interactions for autonomous driving: A review and perspectives

W Wang, L Wang, C Zhang, C Liu… - Foundations and Trends …, 2022 - nowpublishers.com
No human drives a car in a vacuum; she/he must negotiate with other road users to achieve
their goals in social traffic scenes. A rational human driver can interact with other road users …

Autonomous Vehicles in 5G and beyond: A Survey

S Hakak, TR Gadekallu, PKR Maddikunta… - Vehicular …, 2023 - Elsevier
Fifth Generation (5G) mobile technology is the latest generation of mobile networks that is
being deployed to facilitate emerging applications and services. 5G offers enhanced mobile …

Milestones in autonomous driving and intelligent vehicles: Survey of surveys

L Chen, Y Li, C Huang, B Li, Y Xing… - 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 …

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 …

Explanations in autonomous driving: A survey

D Omeiza, H Webb, M Jirotka… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The automotive industry has witnessed an increasing level of development in the past
decades; from manufacturing manually operated vehicles to manufacturing vehicles with a …

Human motion trajectory prediction: A survey

A Rudenko, L Palmieri, M Herman… - … Journal of Robotics …, 2020 - journals.sagepub.com
With growing numbers of intelligent autonomous systems in human environments, the ability
of such systems to perceive, understand, and anticipate human behavior becomes …

Human trajectory forecasting in crowds: A deep learning perspective

P Kothari, S Kreiss, A Alahi - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
Since the past few decades, human trajectory forecasting has been a field of active research
owing to its numerous real-world applications: evacuation situation analysis, deployment of …

[HTML][HTML] Taming the eHMI jungle: A classification taxonomy to guide, compare, and assess the design principles of automated vehicles' external human-machine …

D Dey, A Habibovic, A Löcken, P Wintersberger… - Transportation Research …, 2020 - Elsevier
There is a growing body of research in the field of interaction between automated vehicles
and other road users in their vicinity. To facilitate such interactions, researchers and …

[HTML][HTML] A comprehensive survey on the application of deep and reinforcement learning approaches in autonomous driving

BB Elallid, N Benamar, AS Hafid, T Rachidi… - Journal of King Saud …, 2022 - Elsevier
Abstract Recent advances in Intelligent Transport Systems (ITS) and Artificial Intelligence
(AI) have stimulated and paved the way toward the widespread introduction of Autonomous …

Perceptual enhancement for autonomous vehicles: Restoring visually degraded images for context prediction via adversarial training

F Ding, K Yu, Z Gu, X Li, Y Shi - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Realizing autonomous vehicles is one of the ultimate dreams for humans. However,
perceptual information collected by sensors in dynamic and complicated environments, in …