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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)
2020 Safety  
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.  ...  via a recorded voice as a second-stage probe of driver state in situations of possible drowsiness.  ... 
doi:10.3390/safety6040055 fatcat:rntcjtvwkjaa5mrxsc2lji5kdy

A Comprehensive Survey of Driving Monitoring and Assistance Systems

Muhammad Qasim Khan, Sukhan Lee
2019 Sensors  
to assist drivers for a safe and comfortable driving experience.  ...  This work presents a comprehensive survey of the literature related to driving processes, the main reasons for road accidents, the methods of their early detection, and state-of-the-art strategies developed  ...  drowsiness detection algorithms.  ... 
doi:10.3390/s19112574 fatcat:s5sebu4alncdtkhp5mg4dnuif4

Conceptual Model for an Intelligent Persuasive Driver Assistant

Siam Yamsaengsung, Borworn Papasratorn
2018 KnE Social Sciences  
This work proposes to help reduce traffic problems through influencing a change in driver behavior.  ...  In this initial stage, a model for an intelligent persuasive driver assistant is conceptualized as a voice-interactive smart assistant on a smartphone.  ...  It is expected that this information can be collected through fitness-related wearables or ADAS sensors such as those used for driver in-attention detection or drowsiness detection.  ... 
doi:10.18502/kss.v3i1.1404 fatcat:a3nnpbzod5ggpft6pwcaet4j6e

Where Is Computing Driving Cars?

Guy H. Walker, Neville A. Stanton, Mark. S. Young
2001 International Journal of Human-Computer Interaction  
In this article, we critically review the effect of ubiquitous computing in cars with reference to the psychology of the driver and present a survey of automotive researchers drawn from five major carmakers  ...  Cars offer an excellent example of ubiquitous computing, and a technological revolution is currently underway that will eventually see in-vehicle computers empowered with increasingly complex sections  ...  In the case of vehicle steering, it should be noted that drivers receive a great deal of feedback through a vehicle's steering wheel.  ... 
doi:10.1207/s15327590ijhc1302_7 fatcat:v6656jxxsjdblhpdpyirxbuopi

User Preferences in the Design of Advanced Driver Assistance Systems

Sara Paiva, Xabiel García Pañeda, Victor Corcoba, Roberto García, Próspero Morán, Laura Pozueco, Marina Valdés, Covadonga del Camino
2021 Sustainability  
that an advanced driver assistance system must have in order to grant it special importance on the road to prevent accidents and also to enable drivers to have a pleasant journey.  ...  In this paper, we present the main conclusions and analysis of data collected from a survey of drivers in Spain and Portugal regarding user preferences, highlighting the main functionalities and behavior  ...  The process uses a feedback map and a collision detection algorithm that may involve the vehicle's automatic braking system.  ... 
doi:10.3390/su13073932 fatcat:vf3a3xudrvcb3ca2zs3rj7ubwy

Smartphone-based Vehicle Telematics - A Ten-Year Anniversary [article]

Johan Wahlström, Isaac Skog, Peter Händel
2016 arXiv   pre-print
This paper summarizes the first ten years of research in smartphone-based vehicle telematics, with a focus on user-friendly implementations and the challenges that arise due to the mobility of the smartphone  ...  advances are expected to be driven by improvements in sensor technology, evidence of the societal benefits of current implementations, and the establishment of industry standards for sensor fusion and driver  ...  This idea was used in [275] to detect drowsy and inattentive driving, tailgating, lane weaving, and harsh lane changes.  ... 
arXiv:1611.03618v1 fatcat:fkprzgvmdzesdp3wekhhfusmr4

Distributed Vehicular Computing at the Dawn of 5G: a Survey [article]

Ahmad Alhilal, Benjamin Finley, Tristan Braud, Dongzhe Su, Pan Hui
2022 arXiv   pre-print
In this work, we aim at providing a comprehensive overview of the state of research on vehicular computing in the emerging age of 5G and big data.  ...  As a major part of 5G, edge computing allows data offloading and computation at the edge of the network, ensuring low-latency and context-awareness, and 5G efficiency.  ...  For instance, active safety applications warn drivers of impending danger so the driver can take corrective or evasive action.  ... 
arXiv:2001.07077v2 fatcat:ixgjkwdx6zdsvfcpviptpf32by

Vehicular Data Space: The Data Point of View

Paulo H. Rettore, Guilherme Maia, Leandro A. Villas, Antonio A. F. Loureiro
2019 IEEE Communications Surveys and Tutorials  
Moreover, we outline a taxonomy, according to the different data sources. We also categorize the applications, highlighting the data each one used in their approach.  ...  In a nutshell, this paper constitutes one of the first holistic surveys on services and applications for ITSs, focusing on the data used by them, as well as their future challenges.  ...  [80] also conducted a review to detect driver's drowsiness and distraction.  ... 
doi:10.1109/comst.2019.2911906 fatcat:r75rbgvmcvbynk4vqby723ywoy


Sadayuki TSUGAWA
2006 IATSS Research  
On the other hand, a number of driver assistance systems have been brought to market, including lidar-based forward collision warnings, ACC, lane keeping support and drowsiness warnings, but their penetration  ...  Finally, we introduce a system for improving driver acceptance of safe driver assistance systems based on driver monitoring and forward monitoring as well as cooperative driver assistance systems for elderly  ...  ACKNOWLEDGEMENTS A part of this work has been supported by NEDO (New Energy and Industrial Technology Development Organization) since FY2002 under "Key Technology Research Promotion Program."  ... 
doi:10.1016/s0386-1112(14)60165-5 fatcat:u2rzvgixsnbshffxlxb4rw6ism

Helmets Matter: Kentucky Motorcycle Crash Victims Seen at a Tennessee Trauma Center

George M. Testerman, Daniel C. Prior, Tamie D. Wells, William C. Sumner, Jeffrey T. Johnston, Sarah E. Rollins, Jeremy M. Meyer
2018 Southern medical journal (Birmingham, Ala. Print)  
About half the speeding drivers detected through these enforcement activities had been drinking and about half the impaired drivers were speeding.  ...  Active bicycle lighting can be critical for the detection of bicyclists coming toward the path of a motor vehicle, because the bicyclist is outside the vehicle's headlight beam until the last moment (  ...  Use: High: more than two-thirds of the States, or a substantial majority of communities Medium: between one-third and two-thirds of States or communities Low: less than one-third of the States or communities  ... 
doi:10.14423/smj.0000000000000748 pmid:29298362 fatcat:5xcyh6j2uzdspa7uv25ei5goam

An Overview of the Latest Progress and Core Challenge of Autonomous Vehicle Technologies

Zongwei Liu, Hao Jiang, Hong Tan, Fuquan Zhao, A. Nicholson, L. Wismans
2020 MATEC Web of Conferences  
Based on the review, it forecasts the prospects and conditions of autonomous vehicle's mass production and points out the arduous, long-term and systematic nature of its development.  ...  Vital tracking and face/head/gaze TRK are carried out by cameras and on-board/wearable monitors for driver drowsiness/distraction/emotion monitoring and driver/passenger health condition monitoring.  ...  Path planning is to select a route from the current position to the destination through the road network.  ... 
doi:10.1051/matecconf/202030806002 fatcat:cywklrivsnb75dybzzjnc4exde


M. Ameksa, H. Mousannif, H. Al Moatassime, Z. Elamrani Abou Elassad
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Using a systematic literature review strategy, this study identified tools and techniques used to collect data related to driving behavior among 120 selected studies from 2010 to 2020 in several literature  ...  However, further studies are needed to give more attention to the driver's data and also to investigate the data from the three dimensions of driving (driver, vehicle, and environment) together as an integrated  ...  and Analytics System for Real-Time Driver Behavior Monitoring and Anomaly Detection 10.1109/ICIINFS.2017.8300417 S27 A Smartphone-based Probe Data Platform for Road Management and Safety in Developing  ... 
doi:10.5194/isprs-archives-xliv-4-w3-2020-33-2020 fatcat:elhcwaqupbg4npaprz3a3kvowy

How do drivers merge heavy goods vehicles onto freeways? A semi-structured interview unveiling needs for communication and support

Felix A. Dreger, Joost C. F. de Winter, Riender Happee
2019 Cognition, Technology & Work  
Freeway merging of heavy goods vehicles (HGV) is a safety-critical manoeuvre.  ...  We performed semi-structured in-depth interviews with 15 HGV drivers to assess their visual and cognitive processes while merging, interactions with other road users, and attitudes towards ADAS as a basis  ...  iveco mmons .org/licen ses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a  ... 
doi:10.1007/s10111-019-00601-3 fatcat:ab6jjwnadbbefbsfqncwkt6en4

Jailbreak!: What Happens When Autonomous Vehicle Owners Hack into Their Own Cars

Michael Harry Sinanian
2017 Social Science Research Network  
First, through the process of developing a circumvention, jailbreaking communities indirectly assist with the detection of bugs.  ...  "GM's monitoring system has facial recognition software that can detect if a driver is falling asleep or not paying attention . . .  ... 
doi:10.2139/ssrn.2900887 fatcat:nlueiegdarg3rlokn2ve62ez4q

Scanning the Issue

Azim Eskandarian
2022 IEEE transactions on intelligent transportation systems (Print)  
The authors take into account the integration of blockchain and federated learning in vehicular networks as a direction for future research.  ...  They present three novel datasets recorded with DAVIS sensors and depth sensor for the distracted driving research and focus on driver drowsiness detection, driver gaze-zone recognition, and driver hand-gesture  ...  Two cellular activity features, the link pseudo speed and link probe activity, are defined and calculated. A rule-based algorithm is then developed to determine the traffic congestion state.  ... 
doi:10.1109/tits.2022.3141513 fatcat:gvywr655cvgolg7rfjrqmt33b4
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