A survey of intelligent network slicing management for industrial IoT: Integrated approaches for smart transportation, smart energy, and smart factory
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 …
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
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 …
industry and offer new possibilities for future transportation with higher efficiency and …
Explainable artificial intelligence for autonomous driving: A comprehensive overview and field guide for future research directions
Autonomous driving has achieved significant milestones in research and development over
the last two decades. There is increasing interest in the field as the deployment of …
the last two decades. There is increasing interest in the field as the deployment of …
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 …
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
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 …
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
The accelerating development of autonomous driving technology has placed greater
demands on obtaining large amounts of high-quality data. Representative, labeled, real …
demands on obtaining large amounts of high-quality data. Representative, labeled, real …
Performance and challenges of 3D object detection methods in complex scenes for autonomous driving
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 …
essential for autonomous driving (AD) environment perception. While, until now, most of the …
Autonomous driving on curvy roads without reliance on frenet frame: A cartesian-based trajectory planning method
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 …
centerline changes drastically. This paper is focused on the trajectory planning task for …
Optimization-based trajectory planning for autonomous parking with irregularly placed obstacles: A lightweight iterative framework
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) …
parking. Nominally, this task should be described as an optimal control problem (OCP) …
Multi-modal 3d object detection in autonomous driving: a survey
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 …
However, it remains a daunting task to achieve full autonomy, especially when it comes to …