Proceedings Article10.1109/FUZZ48607.2020.9177822
Detection of Road Artefacts Using Fuzzy Adaptive Thresholding
Marcin Badurowicz,Jerzy Montusiewicz,Paweł Karczmarek +2 more
- 01 Jul 2020
- pp 1-8
7
TL;DR: The new method called F-THRESH has been introduced, which is adaptively adjusting threshold for road artefacts detection by the fuzzy system means, allowing for outlier detection in chaotic time streams.
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Abstract: In this paper the authors are proposing approximate method for road artefacts detection and their location by analyzing acceleration values recorded in the car during driving over the road fragment using the smartphone mounted in the car. The new method called F-THRESH has been introduced, which is adaptively adjusting threshold for road artefacts detection by the fuzzy system means, allowing for outlier detection in chaotic time streams. First, the road quality is being calculated, then the difference between the current data point and mean acceleration is calculated and those two values are used as the input for the fuzzy system, which is calculating threshold to classify data point as an outlier. The proposed method has been compared to the previously implemented method and has an accuracy over 94% with 1.3% of False Positive Rate for the same problem which makes it a great candidate to be implemented in the IoT Edge scenarios, for reducing amount of data being sent to the cloud analyzing system.
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References
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Paweł Karczmarek,Adam Kiersztyn,Witold Pedrycz +2 more
- 19 Jul 2020
TL;DR: This paper analyzes the improvement of a well-known method, i.e. Isolation Forest, for which an innovative modification is introduced, referred to as the Fuzzy Set-Based IsolationForest, which is effectively improved through the use of efficient solutions based on fuzzy set technologies.
34
Road Anomaly Detection Using Smartphone: A Brief Analysis
Van Khang Nguyen,Eric Renault,Viet Hai Ha +2 more
- 18 Jun 2018
TL;DR: A number of typical road anomaly detection methods are analyzed in terms of resource requirements, energy consumption, fitness conditions to suggest some improvement directions to build road anomalies detection algorithms appropriate for smartphones.
15
A method for collision detection using mobile devices
Jakub Smołka,Maria Skublewska-Paszkowska +1 more
- 06 Jul 2016
TL;DR: The article presents the results of measurements recorded using mobile device sensors which allows an algorithm to be developed that recognizes collisions and an experimental implementation of the proposed system, using an improved motion type recognition method developed by the authors.
13
The Cloud Computing Stream Analysis System for Road Artefacts Detection
TL;DR: The cloud computing system designed for monitoring the state of roads by processing data packages covering such data as the car’s acceleration and position acquired by mobile devices mounted in cars and implemented on IBM BlueMix platform is presented.
7
Fuzzy thresholding: mathematical framework, bound functions and weighted moving average technique
C. A. Murthy,S. K. Pasl +1 more
TL;DR: The variation in membership function is seen to be restricted by bound functions, thus enabling the method of segmentation more flexible but effective and can be viewed as a weighted moving average technique, greyness ambiguity being the weights.