Lightning: A Fast and Lightweight Acoustic Localization Protocol Using Low-End Wireless Micro-Sensors

2005 ◽  
Author(s):  
Qixin Wang ◽  
Rong Zheng ◽  
A. Tirumala ◽  
Xue Liu ◽  
Lui Sha
Keyword(s):  
Acoustic Localization

Acoustic Localization for Autonomous Unmanned Systems

2020 ◽  
Author(s):  
Murali Manohar S Kumar ◽  
Himanshu Yadav ◽  
Dawnee Soman ◽  
Ashish Kumar ◽  
Arun Kumar Reddy N
Keyword(s):  
Unmanned Systems ◽  
Acoustic Localization

Simultaneous Multi-points Measurement in Underwater Acoustic Localization

2021 ◽  
Author(s):  
Atsushi Wada ◽  
Shingo Yoshizawa ◽  
Satoshi Yuasa ◽  
Hideki Sugimoto
Keyword(s):  
Underwater Acoustic ◽  
Acoustic Localization

TOWARDS DEEP-SEA MONITORING WITH SMIS - EXPERIMENTAL TRIALS OF DEEP-SEA ACOUSTIC LOCALIZATION

2015 ◽  
Author(s):  
SERGEJ NEUMANN ◽  
DAVID OERTEL ◽  
HEINZ WÖRN ◽  
MARTIN KUROWSKI ◽  
DETLEF DEWITZ ◽  
...  
Keyword(s):  
Deep Sea ◽  
Acoustic Localization ◽  
Experimental Trials

Acoustic Localization of Marine Crafts with Multistatic Deployable Sonar

2000 ◽  
Vol 33 (21) ◽  
pp. 111-116 ◽  
Author(s):  
Lorenzo Mozzone ◽  
Pierfrancesco Lorenzelli ◽  
Andrea Caiti ◽  
Silvio Bongi
Keyword(s):  
Acoustic Localization

scholarly journals Fingerprinting Acoustic Localization Indoor Based on Cluster Analysis and Iterative Interpolation

2018 ◽  
Vol 8 (10) ◽  
pp. 1862 ◽  
Author(s):  
Shuopeng Wang ◽  
Peng Yang ◽  
Hao Sun
Keyword(s):  
Cluster Analysis ◽  
Interpolation Method ◽  
Reference Points ◽  
Matching Method ◽  
Two Stage ◽  
Positioning Accuracy ◽  
Acoustic Localization ◽  
Database Construction ◽  
Iterative Interpolation ◽  
Stage Matching

Fingerprinting acoustic localization usually requires tremendous time and effort for database construction in sampling phase and reference points (RPs) matching in positioning phase. To improve the efficiency of this acoustic localization process, an iterative interpolation method is proposed to reduce the initial RPs needed for the required positioning accuracy by generating virtual RPs in positioning phase. Meanwhile, a two-stage matching method based on cluster analysis is proposed for computation reduction of RPs matching. Results reported show that, on the premise of ensuring positioning accuracy, two-stage matching method based on feature clustering partition can reduce the average RPs matching amount to 30.14% of the global linear matching method taken. Meanwhile, the iterative interpolation method can guarantee the positioning accuracy with only 27.77% initial RPs of the traditional method needed.

scholarly journals Ambisonics Sound Source Localization With Varying Amount of Visual Information in Virtual Reality

2021 ◽  
Vol 2 ◽  
Author(s):  
Thirsa Huisman ◽  
Axel Ahrens ◽  
Ewen MacDonald
Keyword(s):  
Virtual Reality ◽  
Visual Information ◽  
Right Hemisphere ◽  
Sound Field ◽  
Auditory Stimuli ◽  
Spatial Cues ◽  
Sound Sources ◽  
Acoustic Localization ◽  
Localization Performance ◽  
The Right

To reproduce realistic audio-visual scenarios in the laboratory, Ambisonics is often used to reproduce a sound field over loudspeakers and virtual reality (VR) glasses are used to present visual information. Both technologies have been shown to be suitable for research. However, the combination of both technologies, Ambisonics and VR glasses, might affect the spatial cues for auditory localization and thus, the localization percept. Here, we investigated how VR glasses affect the localization of virtual sound sources on the horizontal plane produced using either 1st-, 3rd-, 5th- or 11th-order Ambisonics with and without visual information. Results showed that with 1st-order Ambisonics the localization error is larger than with the higher orders, while the differences across the higher orders were small. The physical presence of the VR glasses without visual information increased the perceived lateralization of the auditory stimuli by on average about 2°, especially in the right hemisphere. Presenting visual information about the environment and potential sound sources did reduce this HMD-induced shift, however it could not fully compensate for it. While the localization performance itself was affected by the Ambisonics order, there was no interaction between the Ambisonics order and the effect of the HMD. Thus, the presence of VR glasses can alter acoustic localization when using Ambisonics sound reproduction, but visual information can compensate for most of the effects. As such, most use cases for VR will be unaffected by these shifts in the perceived location of the auditory stimuli.

Indoor Acoustic Localization by Using Chan Algorithm

2021 ◽  
Author(s):  
Chunping Wu ◽  
Honggao Deng ◽  
Suqing Yan ◽  
Xiyan Sun ◽  
Yuanfa Ji ◽  
...  
Keyword(s):  
Acoustic Localization
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