Motion planning for autonomous driving: The state of the art and future perspectives

S Teng, X Hu, P Deng, B Li, Y Li, Y Ai… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Intelligent vehicles (IVs) have gained worldwide attention due to their increased
convenience, safety advantages, and potential commercial value. Despite predictions of …

A survey of intelligent network slicing management for industrial IoT: Integrated approaches for smart transportation, smart energy, and smart factory

Y Wu, HN Dai, H Wang, Z Xiong… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Network slicing has been widely agreed as a promising technique to accommodate diverse
services for the Industrial Internet of Things (IIoT). Smart transportation, smart energy, and …

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 …

Beverse: Unified perception and prediction in birds-eye-view for vision-centric autonomous driving

Y Zhang, Z Zhu, W Zheng, J Huang, G Huang… - arXiv preprint arXiv …, 2022 - arxiv.org
In this paper, we present BEVerse, a unified framework for 3D perception and prediction
based on multi-camera systems. Unlike existing studies focusing on the improvement of …

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 …

Perception task offloading with collaborative computation for autonomous driving

Z Xiao, J Shu, H Jiang, G Min… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Autonomous driving has so far received numerous attention from academia and industry.
However, the inevitable occlusion is a great menace to safety and reliable driving. Existing …

Milestones in autonomous driving and intelligent vehicles—Part I: Control, computing system design, communication, HD map, testing, and human behaviors

L Chen, Y Li, C Huang, Y Xing, D Tian… - … on Systems, Man …, 2023 - 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 …

Is ego status all you need for open-loop end-to-end autonomous driving?

Z Li, Z Yu, S Lan, J Li, J Kautz, T Lu… - Proceedings of the …, 2024 - openaccess.thecvf.com
End-to-end autonomous driving recently emerged as a promising research direction to
target autonomy from a full-stack perspective. Along this line many of the latest works follow …

[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 …

A global context-aware and batch-independent network for road extraction from VHR satellite imagery

Q Zhu, Y Zhang, L Wang, Y Zhong, Q Guan, X Lu… - ISPRS Journal of …, 2021 - Elsevier
Road extraction is to automatically label the pixels of roads in satellite imagery with specific
semantic categories based on the extraction of the topographical meaningful features. For …