Intelligent Vehicle Collaboration and Positioning

Dear Colleagues,

Intelligent vehicle collaboration and positioning (IVCP) is an exciting and rapidly growing research area that leverages the advancements in autonomous technology, wireless communication, and artificial intelligence to create highly coordinated and accurate positioning systems for vehicular networks. IVCP addresses the critical need for robust positioning and collaborative driving capabilities in diverse transportation applications, including autonomous and connected vehicles, urban traffic management, and off-road vehicle navigation in complex environments. This field brings together the core technologies of sensor fusion, high-precision GPS, and vehicle-to-everything (V2X) communication to ensure that vehicles can navigate safely, efficiently, and reliably. The core objective of IVCP is to enable seamless information sharing and positioning among vehicles, enabling them to perceive their surroundings with unprecedented accuracy, avoid potential collisions, and enhance decision-making in real time. Intelligent collaboration techniques, such as cooperative perception and shared situational awareness, play key roles in extending an individual vehicle’s capability to detect, localize, and respond to obstacles and dynamic objects, even in challenging or GPS-absent environments. Additionally, IVCP facilitates new applications, such as platooning, cooperative adaptive cruise control, and automated intersection management, which can significantly reduce traffic congestion, improve fuel efficiency, and minimize the risk of accidents.

This Special Issue seeks to push forward state-of-the-art research in intelligent vehicle collaboration and positioning by showcasing innovative contributions from scholars across disciplines. In particular, authors are encouraged to submit their original research and review articles with theoretical, methodological, or practical focuses, such as simulation models, algorithms, experiments, and applications for intelligent vehicle cooperation and positioning systems. We invite high-quality research papers in areas that include, but are not limited to, the following topics:

• The collaborative positioning of intelligent vehicles based on GNSS and V2X communication technologies;
• Collaborative positioning based on multimodal sensor fusion technologies;
• Collaborative positioning and mapping for autonomous and connected vehicles;
• Safety and reliability technologies in cooperative driving and platooning systems;
• Data-driven technologies for the cooperation and positioning of intelligent vehicles;
• Multi-agent reinforcement learning methods for cooperative vehicular positioning systems;
• Trustworthy cooperative and positioning technologies for V2X applications;
• Scalable and resilient architectures for cooperative and positioning systems;
• Testing and validation methodologies for collaborative driving and positioning systems;
• Robust and real-time positioning systems based on computer vision and communication technologies.

Dr. Yang Li
Dr. Salvatore Strano
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

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.

• collaborative positioning
• intelligent vehicle
• vehicular networks
• autonomous vehicles