Autonomous Driving and Highway Intelligent Management System

Dear Colleagues,

This Special Issue on "Autonomous Driving and Highway Intelligent Management System" aims to explore innovative solutions and cutting-edge research in the fields of Autonomous Driving and Highway Intelligent Management System. The primary focus is to address the challenges associated with Smart Highways (such as smart tollbooths, highway management), vehicle collaborative perception technology (such as radar perception, visual perception, and distributed optical fiber perception), and autonomous driving technology. This Special Issue seeks to provide a comprehensive overview of the latest advancements, methodologies, and applications in this dynamic field, fostering a deeper understanding and promoting the integration of autonomous driving technology.

Focus:

The focus of this topical collection is to delve into the critical aspects of Autonomous Driving and Highway Intelligent Management System. This includes the development of algorithms and models for Autonomous Driving and Highway Intelligent Management System. Additionally, the issue will cover the impact of these systems on reducing carbon emissions and promoting sustainable transportation solutions. The aim is to create a holistic view of how these technologies can be harmonized to achieve maximum efficiency and sustainability.

Scope:

The scope of the collection encompasses a wide range of topics related to Autonomous Driving and Highway Intelligent Management System areas of interest include the following:

• Vehicle perception technology (such as lidar perception, visual perception, distributed fiber optic perception technology, etc.);
• High-precision positioning and mapping technology for vehicles;
• Intelligent highway systems (such as intelligent toll booths, highway management, etc.);
• Highway Pavement intelligent detection;
• Vehicle decision-making and control algorithms;
• Autonomous driving testing and evaluation technology.

Purpose:

The purpose of this Special Issue is to gather and disseminate high-quality research that addresses the current challenges and future opportunities in autonomous driving and highway collaborative perception systems. By bringing together contributions from leading experts and researchers, the issue aims to foster collaboration and innovation in this field. It seeks to provide valuable insights and practical solutions that can be applied in real-world scenarios, ultimately contributing to the advancement of sustainable transportation systems. The issue will serve as a platform for sharing knowledge, best practices, and emerging trends, helping to shape the future direction of research and development in this area.

Relation to Existing Literature:

This Special Issue will supplement the existing literature by offering a focused collection of research that specifically addresses the unique challenges and opportunities in autonomous driving and highway collaborative perception system. It will highlight the latest developments, emerging trends, and practical applications. By doing so, it will serve as a valuable resource for researchers, practitioners, and policymakers interested in the future of autonomous driving and highway collaborative perception systems. This Special Issue aims to bridge the gap between theoretical research and practical implementation, providing a comprehensive reference that enhances existing knowledge and stimulates further investigation.

Prof. Dr. Xin Cheng
Dr. Jingmei Zhou
Dr. Shiwei Xu
Dr. Yang Yang
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• lidar perception technology
• visual perception technology
• distributed fiber optic perception technology
• high-precision positioning for vehicles
• mapping technology for vehicles
• highway Pavement intelligent detection
• autonomous driving testing and evaluation technology
• vehicle decision-making and control algorithm