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Advancements and Applications of Cooperative Positioning, Planning and Control for Autonomous Vehicles

This special issue belongs to the section “Navigation and Positioning“.

Special Issue Information

Dear Colleagues,

This Special Issue of the Sensors journal, titled “Advancements and Applications of Cooperative Localization, Planning and Control for Autonomous Vehicles”, aims to explore the latest developments and practical applications of collaborative techniques in the field of vehicle positioning, planning and control. Cooperative localization refers to the integration of sensing information from multiple vehicles to improve the accuracy and reliability of vehicle positioning in various environments. Cooperative planning involves coordinating the actions and trajectories of multiple vehicles to more effectively and efficiently achieve a common objective such as task allocation, trajectory planning and collision avoidance. Cooperative control for multiple vehicles involves designing control strategies that enable a group of vehicles to work together towards a common objective such as platooning and formation control, while taking into account the dynamics and constraints of each individual vehicle.

With the rapid advancement of communication technology, cooperative localization, planning and control have received significant attention due to their potential to enhance autonomous driving capabilities, safety and overall transportation efficiency. This Special Issue invites researchers, engineers, and practitioners to contribute original research articles, reviews, and perspectives on the advancements and applications of cooperative localization, planning and control for autonomous vehicles.

Topics of interest include, but are not limited to, the following:

  • Sensor fusion for vehicle localization;
  • Real-time data fusion and sensor calibration techniques;
  • Simultaneous localization and mapping;
  • Seamless localization ;
  • Vehicle localization in challenging environments (e.g., urban canyons, tunnels, and dense foliage);
  • Cooperative localization and mapping;
  • Cooperative localization for homogeneous or heterogeneous connected vehicles;
  • Formation system of unmanned connected vehicles;
  • Cooperative planning and decision-making for connected vehicles;
  • Task allocation for multiple unmanned vehicles;
  • Cooperative control for connected vehicles;
  • Wireless communication and networking for connected vehicles.

Dr. Chaoyang Jiang
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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. Sensors 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 2600 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.

Keywords

  • connected vehicles
  • cooperative localization
  • cooperative planning
  • cooperative control
  • multi-sensor fusion
  • SLAM
  • trajectory planning
  • formation control

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Sensors - ISSN 1424-8220