Position and Velocity Estimations of 2D-Moving Object Using Kalman Filter: Literature Review

Rana, Masud; Halim, Nazia; Rahamna, Mostafizur; Abdelhadi, Ahmed

doi:10.23919/icact48636.2020.9061241

Cited by 8 publications

(7 citation statements)

References 24 publications

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“…Therefore, the direct differentiation of the position signals tends to increase the noises, particularly in low-velocity and low-acceleration regions. To overcome this situation, several methods summarized in [ 47 ] including the use of Kalman filter (KF), a widely used filter in target tracking, have been proposed to reduce the errors and thus improve the accuracy of velocity and acceleration computations. In our study, available information as input for KF corresponds to the position data of the participant during the test.…”

Section: Methodsmentioning

confidence: 99%

Risk of Falling in a Timed Up and Go Test Using an UWB Radar and an Instrumented Insole

Ayena

Chioukh

Otis

et al. 2021

Sensors

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Previously, studies reported that falls analysis is possible in the elderly, when using wearable sensors. However, these devices cannot be worn daily, as they need to be removed and recharged from time-to-time due to their energy consumption, data transfer, attachment to the body, etc. This study proposes to introduce a radar sensor, an unobtrusive technology, for risk of falling analysis and combine its performance with an instrumented insole. We evaluated our methods on datasets acquired during a Timed Up and Go (TUG) test where a stride length (SL) was computed by the insole using three approaches. Only the SL from the third approach was not statistically significant (p = 0.2083 > 0.05) compared to the one provided by the radar, revealing the importance of a sensor location on human body. While reducing the number of force sensors (FSR), the risk scores using an insole containing three FSRs and y-axis of acceleration were not significantly different (p > 0.05) compared to the combination of a single radar and two FSRs. We concluded that contactless TUG testing is feasible, and by supplementing the instrumented insole to the radar, more precise information could be available for the professionals to make accurate decision.

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Section: Methodsmentioning

confidence: 99%

Risk of Falling in a Timed Up and Go Test Using an UWB Radar and an Instrumented Insole

Ayena

Chioukh

Otis

et al. 2021

Sensors

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“…This probability density is difficult to calculate due to the high dimensionality of sensory measurements. However, a possible solution was proposed by Zhou et al [151], who used a feature extractor based on the k-NN algorithm to project a set of raw sensory data from space S to a lower-dimensional feature vector in Z space (σ : S → Z). Thus, the probability density represented in ( 23) is regarded on the basis of the Z feature vectors rather than the Z sensor's raw data.…”

Section: ) Probabilistic Measurement Modelmentioning

confidence: 99%

Systematic Review of Dynamic Multi-Object Identification and Localization: Techniques and Technologies

Ali¹,

Liu²,

He³

et al. 2021

IEEE Access

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Object identification and localization in indoor and outdoor environments are paramount issues in object-human interaction. Recent advancements in the data fusion capabilities of multi-sensor systems have paved the way for research on emerging object identification and positioning techniques. This review describes techniques and methods used in positioning technologies. State-of-the-art localization technologies are classified into range-based, range-free and AI-based categories. An in-depth analysis of localization approaches based on laser range finder, radio-frequency identification, ultra-wideband, inertial measurement unit, etc., are presented by providing a detailed comparison based on range, accuracy, measurement method, advantages, disadvantages, and their applications. Furthermore, we investigate stateof-the-art multimodal data fusion techniques that utilize probabilistic methods for the precise estimation of object identification in motion and its localization.INDEX TERMS Indoor and outdoor positioning systems; identification and localization; unstructured environment; multi-sensor system; multi-object; positioning and localization techniques.

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“…Video-based target tracking predicts the existence of the target, location, size, velocity, and other information of target vehicles from previous frames. Kalman filtering is an efficient way to address target tracking [6,7].…”

Section: Vehicle Trackingmentioning

confidence: 99%

“…The detected blobs will eventually have a processing set such as merging adjacent regions and elimination of negligible regions. Then, a motion model based on adaptive Kalman filter [6,7] is established to track previously detected vehicles and estimate their trajectory. This allows us to detect the vehicles in violation and, therefore, to prevent road accidents.…”

Section: Introductionmentioning

confidence: 99%

Vehicle Tracking and Trajectory Estimation for Detection of Traffic Road Violation

Bencheriet

Belhadad

Menaï

2021

Advances in Intelligent Systems and Computing

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Intelligent transport systems (ITS) are part of our daily lives and are the future of modes of transport. They allow solutions to certain problems such as improving road safety and solving the problem of traffic congestion. This paper presents an effective vehicle tracking and trajectory estimation system to prevent road and highway accident. The system is composed of (i) moving-object detection, (ii) filtering of vehicle candidates, (iii) vehicle tracking, and (iv) trajectory estimation and infraction detection. First, all objects in movement are detected in the first frames. Then, the detected moving objects will be filtered by a set of appropriate processing in order to leave only the objects likely to be vehicles. Kalman filter considered as a good motion predictor will be used in vehicle tracking and trajectory estimation in order to detect offending vehicles. The tests carried out on several roads and highway scene have given very satisfactory results on detecting and tracking vehicle and detecting of continuous line crossing that can be exploited for accident prevention. In addition, Kalman filter gave good results regarding the cars tracking and provides a reliable region for eliminating the interference of shadows and decreasing the false detection rate.

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Position and Velocity Estimations of 2D-Moving Object Using Kalman Filter: Literature Review

Cited by 8 publications

References 24 publications

Risk of Falling in a Timed Up and Go Test Using an UWB Radar and an Instrumented Insole

Risk of Falling in a Timed Up and Go Test Using an UWB Radar and an Instrumented Insole

Systematic Review of Dynamic Multi-Object Identification and Localization: Techniques and Technologies

Vehicle Tracking and Trajectory Estimation for Detection of Traffic Road Violation

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