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 …

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 …

Survey on scenario-based safety assessment of automated vehicles

S Riedmaier, T Ponn, D Ludwig, B Schick… - IEEE …, 2020 - ieeexplore.ieee.org
When will automated vehicles come onto the market? This question has puzzled the
automotive industry and society for years. The technology and its implementation have …

Deep learning for image and point cloud fusion in autonomous driving: A review

Y Cui, R Chen, W Chu, L Chen, D Tian… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Autonomous vehicles were experiencing rapid development in the past few years. However,
achieving full autonomy is not a trivial task, due to the nature of the complex and dynamic …

Pandaset: Advanced sensor suite dataset for autonomous driving

P Xiao, Z Shao, S Hao, Z Zhang, X Chai… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
The accelerating development of autonomous driving technology has placed greater
demands on obtaining large amounts of high-quality data. Representative, labeled, real …

Explainable artificial intelligence for autonomous driving: A comprehensive overview and field guide for future research directions

S Atakishiyev, M Salameh, H Yao, R Goebel - arXiv preprint arXiv …, 2021 - arxiv.org
Autonomous driving has achieved significant milestones in research and development over
the last decade. There is increasing interest in the field as the deployment of self-operating …

Autonomous driving on curvy roads without reliance on frenet frame: A cartesian-based trajectory planning method

B Li, Y Ouyang, L Li, Y Zhang - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Curvy roads are a particular type of urban road scenario, wherein the curvature of the road
centerline changes drastically. This paper is focused on the trajectory planning task for …

Performance and challenges of 3D object detection methods in complex scenes for autonomous driving

K Wang, T Zhou, X Li, F Ren - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
How to ensure robust and accurate 3D object detection under various environment is
essential for autonomous driving (AD) environment perception. While, until now, most of the …

Multi-modal 3d object detection in autonomous driving: a survey

Y Wang, Q Mao, H Zhu, J Deng, Y Zhang, J Ji… - International Journal of …, 2023 - Springer
The past decade has witnessed the rapid development of autonomous driving systems.
However, it remains a daunting task to achieve full autonomy, especially when it comes to …

Optimization-based trajectory planning for autonomous parking with irregularly placed obstacles: A lightweight iterative framework

B Li, T Acarman, Y Zhang, Y Ouyang… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
This paper is focused on planning fast, accurate, and optimal trajectories for autonomous
parking. Nominally, this task should be described as an optimal control problem (OCP) …