Bat with Good Eyesight: Using Acoustic Signal and Image to Achieve Accurate Indoor Localization

Xi, Rui; Li, Yujun; Liu, Daibo; Luo, Siwei; Hou, Mengshu

doi:10.1109/icpads.2016.0012

Cited by 2 publications

(14 citation statements)

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“…[ 10 ], the distribution of acoustic amplitude can be chosen as the fingerprint to discriminate neighboring stores. Besides, some methods utilize acoustic Doppler effect to infer the user’s location [ 22 , 23 ]. Based on the distribution of coordinates calculated by different subsets of acoustic sources, Xi et al [ 23 ] proposed a validity judgment of location that generated by the acoustic-based localization method.…”

Section: Related Workmentioning

confidence: 99%

“…Besides, some methods utilize acoustic Doppler effect to infer the user’s location [ 22 , 23 ]. Based on the distribution of coordinates calculated by different subsets of acoustic sources, Xi et al [ 23 ] proposed a validity judgment of location that generated by the acoustic-based localization method. Moreover, it put forward a refinement scheme combining with relative coordinates by VSFM technique to correct the invalid locations.…”

Section: Related Workmentioning

confidence: 99%

“…This paper is an extension work based on the previous paper [ 23 ] accepted by the conference ICPADS 2016. The main differences are listed as follows, Based on [ 23 ], to enhance the stability and accuracy of acoustic-based localization method, we make a deeper and more comprehensive analysis of characteristics of the estimated results. A detailed explanation is described in Section 3.2 .…”

Section: Related Workmentioning

confidence: 99%

“…Instead of directly comparing deviation to a threshold

, we propose a algorithm for searching a

, that each subset satisfies our observation; a detailed description is given in Section 4.3 . In the evaluation, we compared the localization performance with [ 23 ] and Swadloon; the experimental results are shown in Section 5.2 . Meanwhile, we also performed a complementary experiment on overhead, as described in Section 5.2.5 .…”

Section: Related Workmentioning

confidence: 99%

“…Based on [ 23 ], to enhance the stability and accuracy of acoustic-based localization method, we make a deeper and more comprehensive analysis of characteristics of the estimated results. A detailed explanation is described in Section 3.2 .…”

Section: Related Workmentioning

confidence: 99%

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Using Acoustic Signal and Image to Achieve Accurate Indoor Localization

Liu

Hou

et al. 2018

Sensors

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Location information plays a key role in pervasive computing and application, especially indoor location-based service, even though a mass of systems have been proposed, an accurate and practical indoor localization system remains unsettled. To tackle this issue, in this paper, we present a new localization scheme, SITE, combining acoustic Signals and Images to achieve accurate and robust indoor locaTion sErvice. Relying on a pre-deployed platform of acoustic sources with different frequencies, using proactively generated Doppler effect signals, SITE could track relative directions between the phone and the sources. Given m (m≥5) relative directions, SITE can use the angle differences to compute a set of locations corresponding to different subsets of sources. Then, based on a key observation—while the simultaneously estimated locations using different sets of acoustic anchors are within a small circle, the results converge to a point near the true location—SITE proposes a decision scheme that confirms whether these locations satisfy the demand of localization accuracy and can be used to search the user’s location. If not, SITE utilizes VSFM(Visual Structure from Motion) technique to achieve a set of relative locations using some images captured by the phone’s camera. By exploiting the synergy between the set of relative locations and the set of initial locations computed by relative directions, an optimal transformation relationship is obtained and applied to refine the initial calculated results. The refined result will be regarded as the user’s location. In the evaluation, we implemented a prototype and deployed a real platform of acoustic sources in different scenarios. Experimental results show that SITE has excellent performance of localization accuracy, robustness and feasibility in practical application.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%