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Extended Classification Course Improves Road Intersection Detection from Low-Frequency GPS Trajectory Data

Banqiao Chen, Chibiao Ding, Wenjuan Ren, Guangluan Xu
2020 ISPRS International Journal of Geo-Information  
Unfortunately, low sampling rates and high disparities are ubiquitous among floating car data (FCD), making road intersection detection from such GPS trajectories very challenging.  ...  The feasibility of using massive GPS trajectory data provides a cheap and quick means for generating and updating road maps.  ...  Is that ability degraded under a low sampling rate? Table 2 shows comparative results using high-frequency trajectory data from Chicago [6] and low-frequency data from Shenzhen [7].  ... 
doi:10.3390/ijgi9030181 fatcat:nmo7edexibcvjnvzzggc5rryii

Indoor Intelligent Vehicle localization using WiFi received signal strength indicator

Nguyen Dinh-Van, Fawzi Nashashibi, Nguyen Thanh-Huong, Eric Castelli
2017 2017 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)  
The key contribution is to use a raw data smoothing technique with an ensemble classification neural network method to deal with noisy WiFi signal strength.  ...  In general, all intelligent vehicle seemed to agree on a combination of non-cumulative error localization method like GPS with more precise localization method but suffered from cumulative errors like  ...  However, as RSSI appears to be noisy and scanning frequency of WiFi is low in comparison to movement speed, data will be considered to be a high variant.  ... 
doi:10.1109/icmim.2017.7918849 fatcat:l6h64p77offlhlqlquwbircloa

Application of C-LSTM Networks to Automatic Labeling of Vehicle Dynamic Response Data for Bridges

Ryota Shin, Yukihiko Okada, Kyosuke Yamamoto
2022 Sensors  
We developed an in-vehicle sensor system that can measure three-dimensional behavior, and we propose a new problem of identifying the driving segment of vehicle vibration on a bridge from data measured  ...  Drive-by monitoring uses a vehicle equipped with accelerometers to drive over bridges and estimates the bridge's health from the vehicle vibration obtained.  ...  Data Availability Statement: Not applicable. Acknowledgments: The authors are grateful to M. Ono (University of Tsukuba) for developing the sensor for this experiment.  ... 
doi:10.3390/s22093486 fatcat:aqk3h563z5hkfnofor6ijzbfbe

Survey on vehicle map matching techniques

Zhenfeng Huang, Shaojie Qiao, Nan Han, Chang‐an Yuan, Xuejiang Song, Yueqiang Xiao
2021 CAAI Transactions on Intelligence Technology  
system (GPS) data.  ...  of floating car and road data; (iv) map matching algorithms are classified by the sampling frequency and data information.  ...  | Classification of map-matching algorithms based on sampling frequency In general, vehicles with GPS positioning devices record GPS information at a certain frequency.  ... 
doi:10.1049/cit2.12030 fatcat:chnb75nv2bd6hfity7sdc7an4e

Smartphone Sensing of Road Surface Condition and Defect Detection

Dapeng Dong, Zili Li
2021 Sensors  
In this study, accelerometer data were collected at low rate from a smartphone via an Android-based application over multiple test-runs on a local road in Ireland.  ...  Current advances in technologies such as smartphones, machine learning, big data, and cloud analytics have enabled the collection and analysis of a great amount of field data from numerous users (e.g.,  ...  In particular, the assistance from Christopher Schultz and Chao Wang is gratefully acknowledged. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21165433 pmid:34450875 pmcid:PMC8401562 fatcat:33b2ll7irje4zdboxeaxuemyyy

Vehicle Classification Using Neural Networks with a Single Magnetic Detector [chapter]

Peter Šarčević
2014 Studies in Computational Intelligence  
An idea of a new detection and classification method for a single magnetic sensor based system is also discussed.  ...  , vehicle classification, and weigh-in-motion data.  ...  It includes probe vehicle technologies with Global Positioning System (GPS) and mobile phones, Automatic Vehicle Identification (AVI), and remote sensing technologies that make use of images from aircraft  ... 
doi:10.1007/978-3-319-03206-1_8 fatcat:lc3bbc44ibgz7kvqhgljjtofhm

Lane-Level Road Information Mining from Vehicle GPS Trajectories Based on Naïve Bayesian Classification

Luliang Tang, Xue Yang, Zihan Kan, Qingquan Li
2015 ISPRS International Journal of Geo-Information  
In this paper, we propose a novel approach for mining lane-level road network information from low-precision vehicle GPS trajectories (MLIT), which includes the number and turn rules of traffic lanes based  ...  on naï ve Bayesian classification.  ...  turns from low-precision vehicle GPS trajectories gathered from thousands of taxis in a city.  ... 
doi:10.3390/ijgi4042660 fatcat:lrgmswbmajesjaecizsqqydxuu

Roadside acoustic sensors to support vulnerable pedestrians via their smartphone [article]

Masoomeh Khalili, Mehdi Ghatee, Mehdi Teimouri, Mohammad Mahdi Bejani
2018 arXiv   pre-print
The acoustic sensors are embedded in roadside to receive vehicles sounds and they are classified into heavy vehicle, light vehicle with low speed, light vehicle with high speed, and no vehicle classes.  ...  We use different classification algorithms and show that MLP neural network achieves at least 96.77% in accuracy criterion.  ...  This means that when a vehicle crosses from the nearest point to a processor, receives the highest frequency.  ... 
arXiv:1812.02752v1 fatcat:dbr3zykbkbcqhp6lho6xuwl2nu

Characterization of Road Condition with Data Mining Based on Measured Kinematic Vehicle Parameters

Johannes Masino, Jakob Thumm, Guillaume Levasseur, Michael Frey, Frank Gauterin, Ralf Mikut, Markus Reischl
2018 Journal of Advanced Transportation  
This work aims at classifying the road condition with data mining methods using simple acceleration sensors and gyroscopes installed in vehicles.  ...  From the sensor signals, frequency-based features are extracted, evaluated automatically with MANOVA. The selected features and their meaning to predict the classes are discussed.  ...  Therefore, in the following data processing, feature selection and classification can be performed for data from specific vehicles.  ... 
doi:10.1155/2018/8647607 fatcat:vic6odewwbfaxaxp3wjcuse4ci

Vulnerable Road User Detection Using Smartphone Sensors and Recurrence Quantification Analysis

Huthaifa I. Ashqar, Mohammed Elhenawy, Mahmoud Masoud, Andry Rakotonirainy, Hesham A. Rakha
2019 2019 IEEE Intelligent Transportation Systems Conference (ITSC)  
Given the high-power consumption of GPS, GPS data is excluded.  ...  This study explores the use of low-power smartphone sensors and the Recurrence Quantification Analysis (RQA) features for this task.  ...  The data were collected from GPS, accelerometer, gyroscope, and rotation vector sensors and stored on the devices at the application's highest possible frequency.  ... 
doi:10.1109/itsc.2019.8917520 dblp:conf/itsc/AshqarEMRR19 fatcat:nbq77s5jtja5tdxj3eqq3ufnoa

Feature Extraction Methods Proposed for Speech Recognition Are Effective on Road Condition Monitoring Using Smartphone Inertial Sensors

Frederico Soares Cabral, Hidekazu Fukai, Satoshi Tamura
2019 Sensors  
Simple statistics-based features are most commonly used to extract road surface information from acceleration data.  ...  road classification.  ...  The authors would like to thank Mateus Pinto, Carlito Pinto, and Fernão Mouzinho for contributions to data collection. Conflicts of Interest: The authors declare no conflicts of interest.  ... 
doi:10.3390/s19163481 pmid:31395828 pmcid:PMC6720715 fatcat:wav2efmll5gh7bd5264mbw62qq

Low speed vehicle localization using WiFi fingerprinting

Dinh-Van Nguyen, Myriam Elizabeth Vaca Recalde, Fawzi Nashashibi
2016 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)  
Recently, the problem of fully autonomous navigation of vehicle has gained major interest from research institutes and private companies.  ...  Experiments show that proposed method is capable of imitating GPS behavior on vehicle tracking.  ...  CONCLUSION AND FUTURE WORK This paper shows an early result of using WiFi localization for low speed vehicles to replicate GPS behavior.  ... 
doi:10.1109/icarcv.2016.7838772 dblp:conf/icarcv/NguyenRN16 fatcat:aeohx27kevdfjk3h5qvk2ht4fe

RoADS: A Road Pavement Monitoring System for Anomaly Detection Using Smart Phones [chapter]

Fatjon Seraj, Berend Jan van der Zwaag, Arta Dilo, Tamara Luarasi, Paul Havinga
2016 Lecture Notes in Computer Science  
In this study we describe the conducted experiments with data from the time domain, frequency domain and wavelet transformation, and a method to reduce the effects of speed, slopes and drifts from sensor  ...  Local road authorities and communities can benefit from this system to evaluate the state of their road network pavement in real time. 1 Pavement Evaluation Vehicle  ...  Classifying road anomalies is a rather difficult process and the expectancies to detect all road anomalies on one pass are quite low.  ... 
doi:10.1007/978-3-319-29009-6_7 fatcat:cciojgi3kzd5vjn4pe4aqbiyzi

Improving poor GPS area localization for intelligent vehicles

Dinh-Van Nguyen, Fawzi Nashashibi, Trung-Kien Dao, Eric Castelli
2017 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)  
Result obtained from WiFi Fingerprinting will then be fused with Laser-SLAM to maintain the general architecture, allow seamless adaptation of vehicle to the environment.  ...  However, there are multiple cases where GPS signal quality is too low or not available such as in multi-story parking, tunnel or urban area due to multipath propagation issue etc.  ...  However, as RSSI appears to be noisy and scanning frequency of WiFi is low in comparison to movement speed, data will be considered to be a high variant.  ... 
doi:10.1109/mfi.2017.8170356 dblp:conf/mfi/NguyenNDC17 fatcat:hn64itjr7bdjhau6oct4x6fyha

Classifiers for Accelerometer-Measured Behaviors in Older Women

2017 Medicine & Science in Sports & Exercise  
Our goal was to rectify this gap by leveraging access to data from two studies in older women.  ...  and global positioning systems (GPS) devices in a sample of 222 women (age range = 67-100; 313,290 minutes of data available).  ...  A low-pass filter with a cutoff frequency of 0.5 Hz (preliminary experiments tested a few cutoff frequencies and found 0.5 Hz to perform best) was applied to the data window to estimate the average direction  ... 
doi:10.1249/mss.0000000000001121 pmid:28222058 pmcid:PMC5325142 fatcat:lhp75zzdfjbypngltbpjb2aitm
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