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Dynamic Recognition of Driver's Propensity Based on GPS Mobile Sensing Data and Privacy Protection

Xiaoyuan Wang, Jianqiang Wang, Jinglei Zhang, Jingheng Wang
<span title="">2016</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wpareqynwbgqdfodcyhh36aqaq" style="color: black;">Mathematical Problems in Engineering</a> </i> &nbsp;
The sensing information of Driver-Vehicle-Environment was obtained through psychological questionnaire tests, real vehicle experiments, and virtual driving experiments, and the information is used for  ...  Driver's propensity is a dynamic measurement of driver's emotional preference characteristics in driving process.  ...  Of course, the impacts of environmental complexity for the driver are not only these.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2016/1814608">doi:10.1155/2016/1814608</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yckfv5buardr3dmvu4f4zyjxw4">fatcat:yckfv5buardr3dmvu4f4zyjxw4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190219053137/http://pdfs.semanticscholar.org/1660/280f516fb7d060fa4cd1805667da28f83e94.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/16/60/1660280f516fb7d060fa4cd1805667da28f83e94.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2016/1814608"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

In-Vehicle AR-HUD System to Provide Driving-Safety Information

Hye Sun Park
<span title="2013-12-02">2013</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sfkftjpfyneypmldn7no2ilfpm" style="color: black;">ETRI Journal</a> </i> &nbsp;
This paper suggests an in-vehicle head-up display (HUD) system that is combined with AR technology. The proposed system recognizes driving-safety information and offers it to the driver.  ...  The recognition ratio of the driving-safety information obtained by the proposed AR-HUD system is about 73%, and the system has a recognition speed of about 15 fps for both vehicles and pedestrians.  ...  The reason for this is that the surrounding environment is more complex on an urban road.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4218/etrij.13.2013.0041">doi:10.4218/etrij.13.2013.0041</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/co2cwis3fbgbvme2jvp7o2632m">fatcat:co2cwis3fbgbvme2jvp7o2632m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170824214427/http://ocean.kisti.re.kr/downfile/volume/etri/HJTODO/2013/v35n6/HJTODO_2013_v35n6_1038.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/67/d3/67d33a6bbbd2aa82387b7f773fcd0849db6cf5bd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4218/etrij.13.2013.0041"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Driver Identification System Using Normalized Electrocardiogram Based on Adaptive Threshold Filter for Intelligent Vehicles

Gyu Ho Choi, Kiho Lim, Sung Bum Pan
<span title="2020-12-30">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
of the ECG that causes the identification performance deterioration in the driving environment.  ...  The electrocardiogram (ECG) signal acquired in the driving environment needs to be normalized because the intensity of noise is strong because the driver's motion artifact is included.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21010202">doi:10.3390/s21010202</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33396816">pmid:33396816</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7796261/">pmcid:PMC7796261</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3mpmxf4dfrfg7n7yiu3fglzoeu">fatcat:3mpmxf4dfrfg7n7yiu3fglzoeu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210224175544/https://res.mdpi.com/d_attachment/sensors/sensors-21-00202/article_deploy/sensors-21-00202-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4f/14/4f14fc1b5014649e6037b2d8abe41cba7d44f650.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21010202"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796261" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Cognitive Distraction State Recognition of Drivers at a Nonsignalized Intersection in a Mixed Traffic Environment

Qiang Hua, Lisheng Jin, Yuying Jiang, Ming Gao, Baicang Guo
<span title="">2021</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/afelmew3cvcs3mjotxlfalsrai" style="color: black;">Advances in Civil Engineering</a> </i> &nbsp;
With advances in autonomous driving and connected vehicle technology, a mixture of various types of intelligent vehicles will become normal in the near future, while more factors that may cause driver  ...  recognition in a mixed traffic environment.  ...  When identifying whether a driver is in a distracted state, not only the driver's current behavioral characteristic status but also the complexity of the traffic environment must be considered.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/6676807">doi:10.1155/2021/6676807</a> <a target="_blank" rel="external noopener" href="https://doaj.org/article/f1cb1f1a44c04b75b2340ec4d05fcfb7">doaj:f1cb1f1a44c04b75b2340ec4d05fcfb7</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tpg2whx5efaejp3zqzwj5aqkru">fatcat:tpg2whx5efaejp3zqzwj5aqkru</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210608003343/https://downloads.hindawi.com/journals/ace/2021/6676807.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/57/5c/575c7875511616bd5d824684a55dae3ae829eff3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/6676807"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

An Information-Space-Mapped Sensor Fusion System for Vehicle Control Taking into Account the Driving Environment Recognition Characteristics of Individual Driver
ドライバの走行環境認識特性を考慮した自動車制御のための情報空間変換型センサフュージョン手法

Hiroshi TAKAHASHI, Kouichi KURODA
<span title="">1998</span> <i title="The Society of Instrument and Control Engineers"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2phyh6hw5vckxnkzptkaisrmki" style="color: black;">Transactions of the Society of Instrument and Control Engineers</a> </i> &nbsp;
Moreover, the driving environment recognition characteristics of individual drivers are treated in terms of perceptive sensibilities relative to affordance, making it possible to vary the lambda-fuzzy  ...  A hierarchical fuzzy integral model, represented in terms of declarative relationships, is adopted for the process of variable mapping, thereby avoiding the laborious complexities of sensor fusion design  ...  Fig.1 Definition of sensor signal space and conventional sensor fusion method in vehicle control Simulation results for relationship between A value and characteristics of sensor fusion Fig Fig.2 Structure  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.9746/sicetr1965.34.1271">doi:10.9746/sicetr1965.34.1271</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dxiaumqukzbnxir3loq5hiy24u">fatcat:dxiaumqukzbnxir3loq5hiy24u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190504225936/https://www.jstage.jst.go.jp/article/sicetr1965/34/10/34_10_1271/_pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cf/02/cf02b34164561bc061d6a0429ce6c071e8cd933a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.9746/sicetr1965.34.1271"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Augmented reality HUDS: warning signs and driver situation awareness

Andrew M. Herbert, Joseph Baschnagel, Martin E. Gordon, Zachary McDonald
<span title="2017-06-01">2017</span> <i title="Association for Research in Vision and Ophthalmology (ARVO)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rahwjcylyzhtlni57joehivgqm" style="color: black;">Journal of Vision</a> </i> &nbsp;
Drivers must search dynamic and complex visual environments to perceive relevant environmental elements such as warning signs, pedestrians and other vehicles to select the appropriate driving maneuver.  ...  However, in complex situations in high clutter driving environments AR HUDs may lead to attentional tunneling.  ...  Display type and driving environment make no significant difference in the number of drivers who missed the event.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1167/17.7.40">doi:10.1167/17.7.40</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4pokj2pzmbbuvec57xaeeyvhk4">fatcat:4pokj2pzmbbuvec57xaeeyvhk4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200319032653/https://scholarworks.rit.edu/cgi/viewcontent.cgi?referer=&amp;httpsredir=1&amp;article=10201&amp;context=theses" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/25/cd/25cd82659e6e975b1a7f899cd8844497e19d1202.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1167/17.7.40"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

An Evolutionary Approach to Driving Tendency Recognition for Advanced Driver Assistance Systems

Jong-Hyun Lee, Chang Wook Ahn, M. Kavakli, M.J.E. Salami, A. Amini, M.A.B.M. Basri, A.B. Masli, S.C.H. Li, M. Pal
<span title="">2016</span> <i title="EDP Sciences"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4vlgvitw6fcmbay5hkyo2s2ime" style="color: black;">MATEC Web of Conferences</a> </i> &nbsp;
Driving tendency recognition is important for constructing Advanced Driver Assistance Systems (ADAS).  ...  We propose a driving tendency recognition method, with consideration of data characteristics.  ...  The data consisting of many features are collected dozens of times every second in the real driving environment.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1051/matecconf/20165602012">doi:10.1051/matecconf/20165602012</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ghprnqou4rajzonprsndttgtea">fatcat:ghprnqou4rajzonprsndttgtea</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190223050243/http://pdfs.semanticscholar.org/3fec/63a8ddec9ef2f5db4d1dbd778608599c4686.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3f/ec/3fec63a8ddec9ef2f5db4d1dbd778608599c4686.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1051/matecconf/20165602012"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Reliable Method for Driving Events Recognition

D. Mitrovic
<span title="">2005</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/in6o6x6to5e2dls4y2ff52dy6u" style="color: black;">IEEE transactions on intelligent transportation systems (Print)</a> </i> &nbsp;
In this paper, we present a simple and reliable method for the recognition of driving events using hidden Markov models (HMMs), popular stochastic tools for studying time series data.  ...  A data acquisition system was used to collect longitudinal and lateral acceleration and speed data from a real vehicle in a normal driving environment.  ...  However, driving is a complex decision-making process due to the multidimensionality of the problem (space-time), the complex relationships between the major entities involved in driving (driver, vehicle  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tits.2005.848367">doi:10.1109/tits.2005.848367</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nfbmevtibjdm5f4ffwoqdgycl4">fatcat:nfbmevtibjdm5f4ffwoqdgycl4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829120413/http://cvrr.ucsd.edu/ece285/papers/reliable%20method%20for%20driving%20events%20recog.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a6/fe/a6fe2356fbf60ea84c36cba544d8580ff0ed22c6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tits.2005.848367"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Statistical-based approach for driving style recognition using Bayesian probability with kernel density estimation

Wei Han, Wenshuo Wang, Xiaohan Li, Junqiang Xi
<span title="2018-02-08">2018</span> <i title="Institution of Engineering and Technology (IET)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sjsq25sy2vglld5qo2bn66hx3u" style="color: black;">IET Intelligent Transport Systems</a> </i> &nbsp;
Second, a Euclidean distance method is involved to decide to which class the driver should be subject instead of calculating the complex covariance between every two elements of feature vectors.  ...  To recognize driving styles of path-tracking behaviors for different divers, a statistical pattern-recognition method is developed to deal with the uncertainty of driving styles or characteristics based  ...  ACKNOWLEDGMENT The authors would like to thank all the participants who are willing to be the experimental driver for our research and all the members in Vehicle Dynamics & Control Lab at University of  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1049/iet-its.2017.0379">doi:10.1049/iet-its.2017.0379</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/x7bxizkwhvaqxiayfmypyyjtpq">fatcat:x7bxizkwhvaqxiayfmypyyjtpq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191023155911/https://arxiv.org/pdf/1606.01284v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/23/9c/239cd2301cb8f411a59da782b90aec78c684b27f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1049/iet-its.2017.0379"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Gender Differences In Spatial Navigation

Bia Kim, Sewon Lee, Jaesik Lee
<span title="2007-07-26">2007</span> <i title="Zenodo"> Zenodo </i> &nbsp;
This study aims to investigate the gender differences in spatial navigation using the tasks of 2-D matrix navigation and recognition of real driving scene.  ...  Second, in recognition task, male subjects recognized the key elements involved in the past driving scene more accurately than female subjects.  ...  This implies that some driving behavior such as changing lanes in complex traffic condition might be more dangerous to female drivers than male drivers.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.1061987">doi:10.5281/zenodo.1061987</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gi777nutk5e5vnivenhzdtylam">fatcat:gi777nutk5e5vnivenhzdtylam</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200114184456/https://zenodo.org/record/1061988/files/5947.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/99/b4/99b475a3b1172dd10288cd50b850b6cf15697b58.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.1061987"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

Effects of hazard exposure and roadway complexity on young and older driver situation awareness and performance

David Kaber, Yu Zhang, Sangeun Jin, Prithima Mosaly, Megan Garner
<span title="">2012</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4kcpyrxktzahjo2e3g6eamu4yi" style="color: black;">Transportation Research Part F: Traffic Psychology and Behaviour</a> </i> &nbsp;
Ten young (18-25 yrs) and ten older (65-81 yrs) participants drove in a simulator under two levels of environment complexity (simple -rural vs. complex -city) with two types of hazard exposure (static  ...  In addition, increased roadway environment complexity compounded decrements in performance caused by hazard exposure.  ...  Yu Zhang and Sangeun Jin's work on the study was funded, in part, by The Ergonomics Center of North Carolina.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.trf.2012.06.002">doi:10.1016/j.trf.2012.06.002</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6422iaaf5faddbvdmvgwxthazm">fatcat:6422iaaf5faddbvdmvgwxthazm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809031203/https://people.engr.ncsu.edu/dbkaber/papers/Kaber_etal_TRF_12_SA.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c5/52/c55216489aa76c9bdf48bf3b98ca1682b7e80573.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.trf.2012.06.002"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

On Driver Behavior Recognition for Increased Safety: A Roadmap

Luca Davoli, Marco Martalò, Antonio Cilfone, Laura Belli, Gianluigi Ferrari, Roberta Presta, Roberto Montanari, Maura Mengoni, Luca Giraldi, Elvio G. Amparore, Marco Botta, Idilio Drago (+3 others)
<span title="2020-12-12">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/eeeotn276bgs3mrwr57fevr7jy" style="color: black;">Safety</a> </i> &nbsp;
We then provide our view on a novel perception architecture for driver monitoring, built around the concept of Driver Complex State (DCS).  ...  Our investigation highlights a lack of advanced Driver Monitoring Systems (DMSs) for ADASs, which could increase driving quality and security for both drivers and passengers.  ...  THE AUTOMATED SYSTEM MONITORS THE DRIVING ENVIRONMENT THE HUMAN MONITORS THE DRIVING ENVIRONMENT Driver Monitoring Systems (DMSs) are a novel type of ADAS that has emerged to help predict driving maneuvers  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/safety6040055">doi:10.3390/safety6040055</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rntcjtvwkjaa5mrxsc2lji5kdy">fatcat:rntcjtvwkjaa5mrxsc2lji5kdy</a> </span>
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Research Progress and Prospects of Vehicle Driving Behavior Prediction

Xinghua Hu, Mintanyu Zheng
<span title="2021-06-18">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zfdpvv5fgbcyliq2tvivdtjsxu" style="color: black;">World Electric Vehicle Journal</a> </i> &nbsp;
, the comfort brought by autonomous driving in hybrid driving environments is not being considered.  ...  of individual intelligent vehicle driving behavior, the prediction on movements of vehicles connected via the Internet, and prediction of driving behavior in a mixed traffic environment.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
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A Generic Design of Driver Drowsiness and Stress Recognition Using MOGA Optimized Deep MKL-SVM

Kwok Tai Chui, Miltiadis D. Lytras, Ryan Wen Liu
<span title="2020-03-07">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
For driver stress recognition, the best performance is yielded with average sensitivity of 98.7%, specificity of 98.4% and AUC of 96.9%.  ...  Researchers are in full swing to develop various algorithms for both drowsiness and stress recognition.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
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Recognition of the Driving Style in Vehicle Drivers

Jorge Cordero, Jose Aguilar, Kristell Aguilar, Danilo Chávez, Eduard Puerto
<span title="2020-05-02">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
This hierarchical model for the recognition of the style of the car driving considers three aspects: the driver emotions, the driver state, and finally, the driving style itself.  ...  Specifically, it proposes a hierarchical model for the recognition of the driving style for advanced driver-assistance systems (ADAS) for vehicles.  ...  In Figure 4 , the descriptors are at the top (first layer), and characterize the conditions of the environment, the vehicle and the driver, considered for the recognition of the emotions.  ... 
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