Supporting Search and Rescue Operations with UAVs

By S. Waharte, Agathoniki Trigoni. International Conference on Emerging Security Technologies, 2010

524 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/0147eef28a830a18bb4b432548f941cf9cdb9e37

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. Guilherme A. S. Pereira
2. Luciano C. A. Pimenta
3. Gustavo S. C. Avellar
4. Paulo Iscold

In Computer Networks and Communications

1. Guannan Qu
2. Na Li
3. Guilherme A. S. Pereira
4. Umar Sarad
5. Woongsoo Na
6. Yingying Li
7. Sungrae Cho
8. Luciano C. A. Pimenta

In Computer Vision and Pattern Recognition

1. Guilherme A. S. Pereira
2. Luciano C. A. Pimenta
3. Gustavo S. C. Avellar
4. Paulo Iscold

Citations in the corpus

• Markov Decision Processes with Time-varying Transition Probabilities and Rewards (2019, background): “However, in many applications, e.g. the data center power management problem as discussed above, the transition probabilities are also changing with time (Bayati, 2018; Gandhi & Harchol-Balter, 2011; Lowalekar et al., 2018; Al-Sabban et al., 2013; Goldberg & Matarić, 2003; Waharte & Trigoni, 2010).”
• Routing in Flying Ad Hoc Networks: A Comprehensive Survey (2020, background): “These benefits were demonstrated after Hurricane Katrina in the United States, where UAVs were employed to search for trapped survivors in a damaged area [70].”
• Multi-UAV Routing for Area Coverage and Remote Sensing with Minimum Time (2015, background): “Applications, such as environment monitoring, search and rescue, precision agriculture and surveillance, may benefit from this usage of UAVs with onboard sensors for spatial coverage [1–4].”