The challenges we are faced with in localizing objects are the complex environments,such as tunnels,high-rise areas and underground parking lots.This paper develops a bionic vibration source localization device to est...The challenges we are faced with in localizing objects are the complex environments,such as tunnels,high-rise areas and underground parking lots.This paper develops a bionic vibration source localization device to estimate the direction of the object which is inspired by the unique and precise hunting localization mechanism of scorpions.The localization device uses the sensor array,which is patterned after the scorpions5 biological sensory structure,and imitates the coding mode of scorpions,sensory neurons for determination of the prey(vibration source)bearing.To verify the effectiveness of the localization device,some experiments were performed through real collected vibration signals.The Average Estimated Error(AEE)and the Relative Estimated Error(REE)of the experimental results were calculated to be 3.64°土2.44°and-1.43°±4.14°,respectively.It indicates that the device has a good performance to estimate the bearings of vibration sources at different distances and azimuths.This bionic localization device lays the foundation for the development of locating the moving object in some special conditions.展开更多
Fingerprint matching is adopted by a large family of indoor localization schemes,where collecting fingerprints is inevitable but all consuming.While the increasingly popular crowdsourcing based approach provides an op...Fingerprint matching is adopted by a large family of indoor localization schemes,where collecting fingerprints is inevitable but all consuming.While the increasingly popular crowdsourcing based approach provides an opportunity to relieve the burden of fingerprints collecting,a number of formidable challenges for such an approach have yet been studied.For instance,querying in a large fingerprints database for matching process takes a lot of time and calculation;fingerprints collected by crowdsourcing lacks of robustness because of heterogeneous devices problem.Those are important challenges which impede practical deployment of the fingerprint matching indoor localization system.In this study,targeting on effectively utilizing and mining large amount fingerprint data,enhancing the robustness of fingerprints under heterogeneous devices' collection and realizing the real time localization response,we propose a crowdsourcing based fingerprints collecting mechanism for indoor localization systems.With the proposed approach,massive raw fingerprints will be divided into small clusters while diverse devices' uploaded fingerprints will be merged for overcoming device heterogeneity,both of which will contribute to reduce response time.We also build a mobile cloud testbed to verify the proposed scheme.Comprehensive real world experiment results indicate that the scheme can provide comparable localization accuracy.展开更多
基金This work is financially supported by Research Funds for High-level Scientific and Technological Innovation Teams of Jilin University(No.2017TD-04)the Major Program of the National Natural Science Foundation(NNSF)of China(No.51835006).
文摘The challenges we are faced with in localizing objects are the complex environments,such as tunnels,high-rise areas and underground parking lots.This paper develops a bionic vibration source localization device to estimate the direction of the object which is inspired by the unique and precise hunting localization mechanism of scorpions.The localization device uses the sensor array,which is patterned after the scorpions5 biological sensory structure,and imitates the coding mode of scorpions,sensory neurons for determination of the prey(vibration source)bearing.To verify the effectiveness of the localization device,some experiments were performed through real collected vibration signals.The Average Estimated Error(AEE)and the Relative Estimated Error(REE)of the experimental results were calculated to be 3.64°土2.44°and-1.43°±4.14°,respectively.It indicates that the device has a good performance to estimate the bearings of vibration sources at different distances and azimuths.This bionic localization device lays the foundation for the development of locating the moving object in some special conditions.
基金the National Science and Technology Major Project of China(No.2013ZX03001007-004)the Shanghai Basic Research Key Project(No.11DZ1500206)
文摘Fingerprint matching is adopted by a large family of indoor localization schemes,where collecting fingerprints is inevitable but all consuming.While the increasingly popular crowdsourcing based approach provides an opportunity to relieve the burden of fingerprints collecting,a number of formidable challenges for such an approach have yet been studied.For instance,querying in a large fingerprints database for matching process takes a lot of time and calculation;fingerprints collected by crowdsourcing lacks of robustness because of heterogeneous devices problem.Those are important challenges which impede practical deployment of the fingerprint matching indoor localization system.In this study,targeting on effectively utilizing and mining large amount fingerprint data,enhancing the robustness of fingerprints under heterogeneous devices' collection and realizing the real time localization response,we propose a crowdsourcing based fingerprints collecting mechanism for indoor localization systems.With the proposed approach,massive raw fingerprints will be divided into small clusters while diverse devices' uploaded fingerprints will be merged for overcoming device heterogeneity,both of which will contribute to reduce response time.We also build a mobile cloud testbed to verify the proposed scheme.Comprehensive real world experiment results indicate that the scheme can provide comparable localization accuracy.
