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Advanced Sensors for Path Planning and Navigation in Challenging Environments

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: 31 January 2026 | Viewed by 22

Special Issue Editors


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Guest Editor
Transport Research Centre, Faculty of Engineering and Information Technology, University of Technology Sydney (UTS), 81 Broadway, Ultimo, NSW 2007, Australia
Interests: sensor fusion for surveying, navigation and perception; robotics and intelligent systems; environment-friendly transportation and housing; GNSS, IMU, vision and laser sensors modelling and data fusion
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Guest Editor
Faculty of Electrical Engineering, University of Ljubljana, 1000 Ljubljana, Slovenia
Interests: autonomous mobile robots; motion control; trajectory tracking; path planning; localization; multiagent systems
Special Issues, Collections and Topics in MDPI journals

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Guest Editor Assistant
College of Computer Engineering, Jimei University, Xiamen 361021, China
Interests: robot path planning and navigation; swarm intelligence algorithms; reinforcement learning; robot path planning; multi-robot scheduling and planning; multi-sensor fusion; indoor positioning

Special Issue Information

Dear Colleagues,

The proliferation of mobile robots, including Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehicles (UAVs), demands more efficient and reliable operational solutions, which can be achieved by upgrading them to Autonomous Guided Vehicles (AGVs). Applying proper sensing technologies combined with navigation and path planning algorithms is a core factor that impacts the implementation and performance of AGVs for reliable and feasible autonomous guidance. There is an urgent need for the development of AGVs in challenging environments, such as urban and indoor areas, where various objects (e.g., buildings and moving subjects) cause multipath and signal delay problems for radio-based positioning (GNSS, etc.). Multiple alternative sensors should be used with proper fusion algorithms to achieve reliable and seamless navigation and positioning in immersive environments.

We encourage authors from academia and industry to publish new research results related to sensor fusion for AGV navigation and path planning in challenging environments.

Dr. Jianguo (Jack) Wang
Prof. Dr. Gregor Klančar
Guest Editors

Dr. Shiwei Lin
Guest Editor Assistant

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.

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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 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

  • positioning sensors
  • sensor fusion
  • navigation
  • AGV path planning
  • dynamic environment
  • AGV applications

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Published Papers

This special issue is now open for submission.
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