Design and development of solar powered unmanned aerial vehicle (UAV) for surveying, mapping and disaster relief

Karthik, M.; Usha, S.; Predeep, B.; Saran, G. R. Sai; Sridhar, Gattu; Theeksith, R.

doi:10.1063/5.0068785

Cited by 2 publications

(2 citation statements)

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“…The map-based system has predefined map information to preplan the route to guide the SUAV to follow a feasible, collision-free path. Three-dimensional mapping [39][40][41][42] thus becomes a popular research direction for unmanned systems. The first paper [39] states the effectiveness of image capturing by SUAVs, which is crucial for some visionbased applications.…”

Section: Three-dimensional Mappingmentioning

confidence: 99%

“…One highlight of this SUAV is that the coverage altitude is considerably high, varying from 1 km to 5 km above the ground. Furthermore, Karthik et al [41] focus on designing and developing an SUAV for surveying, mapping, and disaster relief applications. Lastly, researchers [42] use SUAVs to collect ground images and transmit to a ground control station for cloud storage and subsequent digital processing.…”

Section: Three-dimensional Mappingmentioning

confidence: 99%

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Navigation and Deployment of Solar-Powered Unmanned Aerial Vehicles for Civilian Applications: A Comprehensive Review

Li,

Fang,

Verma

et al. 2024

Drones

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Unmanned aerial systems and renewable energy are two research areas that have developed rapidly over the last few decades. Solar-powered unmanned aerial vehicles (SUAVs) are likely to become dominant in the near future. They have the advantage of low cost and safe operation features that mitigate the barriers to their use in various environments. Developing effective algorithms for navigating and deploying SUAVs is essential for implementing this technology in real-life applications. Effective navigation and deployment algorithms also ensure the safety and efficiency of SUAV operations. This comprehensive review paper summarizes some state-of-the-art SUAV applications and provides an overview of the navigation and deployment algorithms for SUAVs. Some commonly used energy-harvesting models are described as well. Finally, some interesting and promising directions for future SUAV research are suggested.

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