Review of Unmanned Aircraft System (UAS)

By Suraj Gupta, M. Ghonge, P. Jawandhiya. 2013

340 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/941a197e8ffd9f1a7995356968689c770d7b3f63

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. M. Moshref-Javadi
2. Stamatia Bibi
3. Panagiotis G. Sarigiannidis
4. Dimosthenis C. Tsouros
5. Matthias Winkenbach

In Computer Networks and Communications

1. Stamatia Bibi
2. Panagiotis G. Sarigiannidis
3. Dimosthenis C. Tsouros

In Computer Vision and Pattern Recognition

1. M. Moshref-Javadi
2. Fulya Baysal-Gurel
3. Samuel C. Hassler
4. Stamatia Bibi
5. Panagiotis G. Sarigiannidis
6. Dimosthenis C. Tsouros
7. Matthias Winkenbach

Citations in the corpus

• Applications and Research avenues for drone-based models in logistics: A classification and review (2021, background): “…and avoid the emergence of chaos, for instance by means of establishing dedicated aerial highways, developing standardized routing protocols, and stochastic modeling of risks in drone travels (Gupta et al., 2013; Joerss et al., 2016; Seliem et al., 2018; Kuru et al., 2019; Shao et al., 2020).”
• Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges (2018, neutral): “Examples HiSentinel80 [38] Global Hawk [39] Project Loon LIDAR [32] EMT Luna Desert Star”
• A Review on UAV-Based Applications for Precision Agriculture (2019, methodology): “In addition to the above classification, UAVs can also be categorized according to their size [121].”
• Unmanned Aircraft System (UAS) Technology and Applications in Agriculture (2019, background): “As these UAVs began to incorporate more peripheral technologies and grew in complexity, a new term was developed to describe the whole system together—unmanned aircraft system (UAS) [10,11].”
• Artificial Intelligence, Transport and the Smart City: Definitions and Dimensions of a New Mobility Era (2020, background): “Challenges such as the lack of an onboard pilot to see and avoid other aircrafts and the wide variation in unmanned aircraft missions and capabilities must be addressed before the full integration of aerial technologies can take place in the smart city context [44].”