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
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
Special Issues, Collections and Topics in MDPI journals
Interests: autonomous mobile robots; motion control; trajectory tracking; path planning; localization; multiagent systems
Special Issues, Collections and Topics in MDPI journals
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
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Keywords
- positioning sensors
- sensor fusion
- navigation
- AGV path planning
- dynamic environment
- AGV applications
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