2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN) 2017
DOI: 10.1109/ipin.2017.8115895
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Practical challenges of particle filter based UWB localization in vehicular environments

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Cited by 13 publications
(9 citation statements)
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“…Determining the precise location of the key fob using ultra wide band (UWB) ranging is still under wide industry investigation. In [25], Knobloch discussed the challenges of using UWB ranging techniques for key fob location estimation. The authors investigated the usage of trilateration and particle filter approaches to address this problem and proposed using PF to combine the benefit of enabling non-Gaussian observation error distribution and mapping of a particle cloud to vehicle zone.…”
Section: Kalman Filter Extensions Of Kalman Filter and Particle Filtermentioning
confidence: 99%
See 1 more Smart Citation
“…Determining the precise location of the key fob using ultra wide band (UWB) ranging is still under wide industry investigation. In [25], Knobloch discussed the challenges of using UWB ranging techniques for key fob location estimation. The authors investigated the usage of trilateration and particle filter approaches to address this problem and proposed using PF to combine the benefit of enabling non-Gaussian observation error distribution and mapping of a particle cloud to vehicle zone.…”
Section: Kalman Filter Extensions Of Kalman Filter and Particle Filtermentioning
confidence: 99%
“…The authors investigated the usage of trilateration and particle filter approaches to address this problem and proposed using PF to combine the benefit of enabling non-Gaussian observation error distribution and mapping of a particle cloud to vehicle zone. The experimental results in [25] show that the performance of trilaterationbased PF does not provide the required accuracy.…”
Section: Kalman Filter Extensions Of Kalman Filter and Particle Filtermentioning
confidence: 99%
“…Using the data properties which are characterized by the normal (Gaussian) distribution of samples, it was decided to use the Wiener filter. The Wiener filter [29] estimates local mean (24), and variance (25), around each sample = 1 ( , )…”
Section: = − (19)mentioning
confidence: 99%
“…As the UWB technology is the subject of many cross-cutting works [1], none of them has a description of how this technology works in the case of objects moving at high speed, the authors decided to carry out research aimed at sensibility of using this technology in such applications. One of the additional impulses motivating the research was the fact that on the current level of development of this technology, automotive companies are already conducting research on optimal UWB placement of antennas on cars [24], which in the future is to apply to maintenance-free opening of vehicles. Manufacturers of UWB systems themselves perform accuracy tests based on speed, but they focus mainly on IPS applications.…”
Section: Introductionmentioning
confidence: 99%
“…In contrast to outdoor positioning, where the majority of systems and applications rely on GNSS, many technologies have emerged to provide positioning indoors. They are based on: Wireless Communication Technologies (Wi-Fi [ 5 , 19 , 20 ], BLE [ 18 , 21 ], RFID [ 22 , 23 ], FM [ 24 ], Ultra Wide Band [ 18 , 25 , 26 ]), Ultrasounds [ 27 , 28 ], IMU’s [ 13 , 29 , 30 , 31 ]; signals of opportunity [ 32 ], Optical and Vision [ 11 ], visible light [ 4 ], and Magnetic, [ 33 ] among others. Selecting the right technology might not be an easy task since many features have to be balanced, such as target application, deployment costs, required accuracy, tolerable uncertainty or needed computational resources.…”
Section: Introductionmentioning
confidence: 99%