Real-Time, Cloud-Based Object Detection for Unmanned Aerial Vehicles

By Jangwon Lee, Jingya Wang, David J. Crandall, Selma Sabanovic, Geoffrey C. Fox. 2017

138 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

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. Ala Al-Fuqaha
2. Mohsen Guizani

In Computer Vision and Pattern Recognition

1. Ala Al-Fuqaha
2. Mohsen Guizani
3. Sameh Sorour
4. M. Mohammadi
5. Umair Mohammad

Citations in the corpus

• Deep Learning for IoT Big Data and Streaming Analytics: A Survey (2017, methodology): “UAVs have been also used for many image analysis in real-time such as surveillance tasks, search-and-rescue operations, and infrastructure inspection [180].”
• Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides (2020, unknown): “Image recognition and perception Lee et al. (2017) said that in recent years, an increasing interest has been seen in autonomous UAVs and their applications including recognition and surveillance, human body detection and geolocalization, search and rescue, forest fi re detection (Bhaskaranand and…”