An Autonomous Multi-UAV System for Search and Rescue
By Jurgen Scherer, S. Yahyanejad, Samira Hayat, Evsen Yanmaz, Torsten Andre, Asif Khan, V. Vukadinovic, Christian Bettstetter, H. Hellwagner, B. Rinner. DroNet@MobiSys, 2015
325 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/2c5808f0f06538d8d5a5335a0c938e902b7c7413
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
- Paloma de la Puente
- Bander Al-Zahrani
- Alejandro Rodriguez-Ramos
- Xiansheng Hua
- Christian Bettstetter
- Dusist Niyato
- Ahmed Barnawi
- Pascual Campoy
In Computer Vision and Pattern Recognition
- Paloma de la Puente
- Alejandro Rodriguez-Ramos
- Xiansheng Hua
- Siheng Chen
- Jiawen Kang
- Yiqi Zhong
- Yue Hu
- Chunyan Miao
Citations in the corpus
- A Fully-Autonomous Aerial Robot for Search and Rescue Applications in Indoor Environments using Learning-Based Techniques (2018, background): “In [46], Scherer et al. tested another interesting modular architecture of a UAV system for SAR missions in an outdoor environment.”
- Drone networks: Communications, coordination, and sensing (2018, methodology): “In addition to our theoretical analysis of coordination algorithms in [22], we have also implemented and demonstrated autonomous coordination for the SAR use case, which is presented in the next section [18].”
- Unmanned Aerial Vehicles for Search and Rescue: A Survey (2023, background): “The paper [24] introduced a modular architecture automatic multi-UAV system with distributed communication structure for SAR.”
- Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps (2022, methodology): “Related methods and systems are desperately needed in a broad range of real-world applications, such as vehicle-to-everything-communication-aided autonomous driving [1–3], multi-robot warehouse automation system [4, 5] and multi-UAVs (unmanned aerial vehicles) for search and rescue [6–8].”
- Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach (2020, background): “Another group of studies propose specific applications of UAVs, e.g., as flying base stations [32], with mobile cloudlets for computation offloading [33], and for search and rescue missions [34].”
- Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges (2018, unknown): “These links must be low-latency, highly reliable, and secure two-way communications, usually with low data rate requirement for safety-critical information exchange among UAVs, and additionally between the UAV and ground control stations (GCS).”
- UAV assistance paradigm: State-of-the-art in applications and challenges (2020, methodology): “By using alternating algorithms, the computation rate maximization problems are addressed both by binary and partial computation offloading modes.”