BeepBeep: a high accuracy acoustic ranging system using COTS mobile devices

By Chunyi Peng, Guobin Shen, Yongguang Zhang, Yanlin Li, Kun Tan. ACM International Conference on Embedded Networked Sensor Systems, 2007

532 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/e6ab4eb3581ffe88c004b442bb3c66bf55deafd7

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In Computer Networks and Communications

In Electrical and Electronic Engineering

In Signal Processing

Citations in the corpus

Mobile cloud computing: A survey (2013, unknown): “Similar peer-based localization methods such as NearMe [55], and Beep Beep [56] also exist, but these do not work for more than two nodes.”
Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons (2016, methodology): “using advanced sensors [46], [80] on smartphones to”
Non-GPS Positioning Systems (2017, methodology): “The system first determines the peer-to-peer distance using acoustic ranging [99], after which a graph is constructed using Classical MDS [112], and finally this graph is integrated with Wi-Fi based localization.”
Poster: Asynchronous Acoustic Localization using Commercial Devices (2015, background): “The entire set of experiments has been carried out indoors, because acoustic ranging is better carried out outdoors as demonstrated in [3].”
A Survey on Wireless Indoor Localization from the Device Perspective (2016, background): “BeepBeep [Peng et al. 2007] is a pioneer acoustic ranging system with high accuracy.”
Energy-accuracy trade-off for continuous mobile device location (2010, methodology): “More recently, the phone’s camera and microphone have also been used for localization [2, 21, 19].”
Location, Localization, and Localizability (2010, background): “(a) Errors in Distance Measurements Table 3 lists the typical measuring (intrinsic) error of a range of nowadays ranging techniques: TDoA, RSS in AHLoS([25]), Ultra Wideband system([59]), RF Time of Flight ranging systems([60]), and Elapsed Time between the two Time of Arrival (EToA) in BeepBeep([30”
From RSSI to CSI (2013, background): “…of wireless networks and devices, the past two decades have witnessed extensive wireless indoor localization techniques, including acoustic signals [Peng et al. 2007; Yang et al. 2011], ultrasound [Harter et al. 1999; Priyantha et al. 2000], FM [Chen et al. 2012], infrared This work is supported…”
Device-free gesture tracking using acoustic signals (2016, methodology): “Traditional TOA/TDOA based systems require the device to emit bursty sound signals, such as pulses or chirps, which are often audible to humans as these signals change abruptly [7,8].”
Modern WLAN Fingerprinting Indoor Positioning Methods and Deployment Challenges (2016, background): “Besides, the histogram is primarily dependent on bin width and the choice of origin [34], [103], [104].”
Push the limit of WiFi based localization for smartphones (2012, methodology): “To be robust to multipath, the earliest sharp peak in the correlation values is used as the signal detection time [19].”