Autonomous Drones Technology for Sensing and Communications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Vehicular Sensing".
Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 403
Special Issue Editor
Interests: indoor navigation; map** and SLAM; autonomous micro robotics; bio-inspired robotics; visibility graphs
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Commercial drones (or quadcopters) have become extremely popular in recent years, and these drones are becoming better and simpler to operate. Yet, in terms of true autonomy, self-inspection, remote-sensing, and ad hoc communication it seems that the drone industry is not develo** in the same pace.
This Special Issue is focused on concepts, and algorithms for commercial drones to perform autonomous missions such as: map**, inspection, remote-sensing, and ad hoc communication. In other words, this Special Issue investigates the ability of a swarm of drones to act as an efficient Dynamic Wireless Sensor Network (D-WSN).
The scope of this Special Issue includes the following topics:
- Drone to Drone and Drone to Swarm ad hoc communication.
- Visual navigation for drones, including visual formation flight.
- Detecting “landable spots” in unknown regions and performing landing and take-off accordingly.
- Swarm sensing of wildfires (including where to land and when to move).
- Self-inspection of a drone’s “well been” using acoustic analysis
- Sense and avoid methods for drones.
- Video-based real-time photogrammetry.
- Edge AI for drones: using light platforms (such as TPU or OAK—1) to allow onboard, real-time inferencing.
- Smart cooperation between drones.
The Special Issue may also consider other related topics, yet it will not consider “simulation only” papers.
Prof. Dr. Boaz Ben-Moshe
Guest Editor
Manuscript Submission Information
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Keywords
- swarm of drones as a dynamic wireless sensor network
- drone to drone ad hoc cooperation
- visual navigation and formation flight
- bio-inspiered swarm of drones
