Sensor planning for a symbiotic UAV and UGV system for precision agriculture
By Pratap Tokekar, J. V. Hook, D. Mulla, Volkan Isler. 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
496 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/5b5d2bd18007095cc529dec8d01148e614881f67
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
- Vijay R. Kumar
- Shaojie Shen
- Ming Ding
- H. Vincent Poor
- Dusist Niyato
- Dinh C. Nguyen
- Soon-Jo Chung
- Philip M. Dames
In Artificial Intelligence
- Ming Ding
- Dinh C. Nguyen
- Pubudu N. Pathirana
- Aruna Prasad Seneviratne
- Jun Li
- H. Vincent Poor
- Dusist Niyato
- Octavia A. Dobre
In Computational Theory and Mathematics
Citations in the corpus
- 6G Internet of Things: A Comprehensive Survey (2021, methodology): “For example, perturbation techniques [127] such as differential privacy or dummy can be used to protect training datasets against data breaches in the edge intelligence-based 6G-IoT networks, by constructing composition theorems with complex mathematical solutions [128].”
- Unmanned Aircraft System (UAS) Technology and Applications in Agriculture (2019, background): “Tokekar and his colleagues introduced a new approach to detect nitrogen levels in the soil using vegetation indices, soil sampling, and other methods through a combination of both UAS and unmanned ground vehicles (UGVs) [2].”
- A Survey on Aerial Swarm Robotics (2018, background): “Monitoring spatio-temporal fields is a challenging task and may often be better accomplished by using a heterogeneous team [183].”