The Horus location determination system
By Moustafa Youssef, Ashok K. Agrawala. 2008
362 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/f648cbbaccd79ca6ec43cc2f225d6e9f2e8aaf2f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Moustafa Youssef
- Nikolaos Gatsis
- David Akopian
- Ali Khalajmehrabadi
- Kevin Curran
- Joan V. Condell
- Gabriel Deak
- Matthew Mah
In Electrical and Electronic Engineering
- Moustafa Youssef
- Nikolaos Gatsis
- David Akopian
- Ali Khalajmehrabadi
- Wei Xi
- Kevin Curran
- Joan V. Condell
- Gabriel Deak
In Ocean Engineering
- Moustafa Youssef
- Nikolaos Gatsis
- David Akopian
- Ali Khalajmehrabadi
- Kevin Curran
- Joan V. Condell
- Gabriel Deak
- Matthew Mah
Citations in the corpus
- Modern WLAN Fingerprinting Indoor Positioning Methods and Deployment Challenges (2016, methodology): “utilizes all (or a subset of) RPs with corresponding weights as follows [98], [99]”
- A survey of active and passive indoor localisation systems (2012, background): “More details about the radio propagation indoors can be found in [7,61–64].”
- Nuzzer: A Large-Scale Device-Free Passive Localization System for Wireless Environments (2009, methodology): “A passive radio map is similar to the active radio map usually used in device-based active WLAN location determination systems, such as [1], [2], [25].”
- Challenges: device-free passive localization for wireless environments (2007, methodology): “We use the same method in the Horus [14, 16–19] active location determination system where we store at each radio map point the signal strength histograms from different APs.”
- Electronic frog eye: Counting crowd using WiFi (2014, methodology): “RSS-based approaches can be categorized into the Radio Propagation Model [4], [19] and the Fingerprint Method [20], [21], [5].”
- Fusing Similarity-Based Sequence and Dead Reckoning for Indoor Positioning Without Training (2017, neutral): “Finally, we compared our approach to two state-of-the-art fingerprinting-based approaches, i.e., WKNN (weighted k-nearest neighbors) [28] and Horus [29].”