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Toward Detection of Unsafe Driving with Wearables

Luyang Liu, Cagdas Karatas, Hongyu Li, Sheng Tan, Marco Gruteser, Jie Yang, Yingying Chen, Richard P. Martin
2015 Proceedings of the 2015 workshop on Wearable Systems and Applications - WearSys '15  
In particular, we study how wrist-mounted inertial sensors such as those in smart watches and fitness trackers, can track steering wheel usage and inputs.  ...  This paper explores the potential for wearable devices to identify driving activities and unsafe driving, without relying on information or sensors in the vehicle.  ...  SYSTEM DESIGN Towards detecting unsafe driving, we design and implement a system to detect driving, and further perform preliminary driving behavior monitoring through steering wheel angle measurement.  ... 
doi:10.1145/2753509.2753518 dblp:conf/mobisys/LiuKLTG0CM15 fatcat:ho5xz74akbcxfi45opaxu3uxcy

Leveraging wearables for steering and driver tracking

Cagdas Karatas, Luyang Liu, Hongyu Li, Jian Liu, Yan Wang, Sheng Tan, Jie Yang, Yingying Chen, Marco Gruteser, Richard Martin
2016 IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications  
In particular, tracking steering wheel usage and turning angle provide fundamental techniques to improve driving detection, enhance vehicle motion tracking by mobile devices and help identify unsafe driving  ...  In particular, we study how wristmounted inertial sensors, such as those in smart watches and fitness trackers, can track steering wheel usage and angle.  ...  [15] both propose driving behavior monitoring systems to track unsafe events based on embedded inertial sensors in the smartphone.  ... 
doi:10.1109/infocom.2016.7524544 dblp:conf/infocom/KaratasLLLWT0CG16 fatcat:mlrjjoxqsvftbik46id2gr2ndq

Genetic Programming for Channel Selection from Multi-stream Sensor Data with Application on Learning Risky Driving Behaviours [chapter]

Hoang Anh Dau, Andy Song, Feng Xie, Flora Dilys Salim, Vic Ciesielski
2014 Lecture Notes in Computer Science  
Smart-phones with builtin inertial sensors offer a convenient way to passively monitor the driving patterns, from which potentially risky events can be detected.  ...  GP performance on detecting these unsafe driving behaviours is consistently high on different channel combinations that it decides to use.  ...  The driver drives normally through most of the sessions with the occasional performance of an hypothesised unsafe event.  ... 
doi:10.1007/978-3-319-13563-2_46 fatcat:msgvgaexmrh7xivskbedsrl2l4

Hemianopic and Quadrantanopic Field Loss, Eye and Head Movements, and Driving

Joanne M. Wood, Gerald McGwin, Jennifer Elgin, Michael S. Vaphiades, Ronald A. Braswell, Dawn K. DeCarlo, Lanning B. Kline, Cynthia Owsley
2011 Investigative Ophthalmology and Visual Science  
Purpose: To compare eye and head movements, lane keeping and vehicle control of drivers with hemianopic and quadrantanopic field defects with controls, and to identify differences in these parameters between  ...  hemianopic and quadrantanopic drivers rated safe to drive by a clinical driving rehabilitation specialist (CDRS) compared to those rated as unsafe.  ...  An accelerometer was mounted on the roof of the vehicle along with inertial sensors to record braking and acceleration forces, while a roof mounted GPS system sampled the speed and position of the vehicle  ... 
doi:10.1167/iovs.10-6296 pmid:21367969 pmcid:PMC3101691 fatcat:n4kd26mbpjejvihlt2gi6wpndu

Context-based driver support system development: Methodology and case study

Alexey Kashevnik, Igor Lashkov, Vladimir Parfenov, Nikolay Mustafin, Olesya Baraniuc
2017 2017 21st Conference of Open Innovations Association (FRUCT)  
This paper aims at methodology development for vehicle incidents alerting based on mobile measurements of a driver behavior in the cabin using the personal smartphone mounted in the vehicle windshield.  ...  ADAS systems that use different sensors and integrated to vehicles are popular for luxury segment and, therefore, less accessible for end mass consumer.  ...  8) of the Presidium of the Russian Academy of Sciences.  ... 
doi:10.23919/fruct.2017.8250179 dblp:conf/fruct/KashevnikLPMB17 fatcat:szx6wo7zvfglbgrhdg5fybwjoi

CarSafe app

Chuang-Wen You, Lorenzo Torresani, Andrew T. Campbell, Nicholas D. Lane, Fanglin Chen, Rui Wang, Zhenyu Chen, Thomas J. Bao, Martha Montes-de-Oca, Yuting Cheng, Mu Lin
2013 Proceeding of the 11th annual international conference on Mobile systems, applications, and services - MobiSys '13  
To address this, CarSafe uses other embedded sensors on the phone (i.e., inertial sensors) to generate soft hints regarding potential blind spot dangers.  ...  Results from the CarSafe deployment are promising -CarSafe can infer a common set of dangerous driving behaviors and road conditions with an overall precision and recall of 83% and 75%, respectively.  ...  The CarSafe app should be capable of recognizing these unsafe car trajectories using both the inertial sensors and the rear camera of the phone when available.  ... 
doi:10.1145/2462456.2466711 dblp:conf/mobisys/YouLCWCBMCLTC13a fatcat:gmqsj3lbcvg3tdsbvdxf57irje

CarSafe app

Chuang-Wen You, Lorenzo Torresani, Andrew T. Campbell, Nicholas D. Lane, Fanglin Chen, Rui Wang, Zhenyu Chen, Thomas J. Bao, Martha Montes-de-Oca, Yuting Cheng, Mu Lin
2013 Proceeding of the 11th annual international conference on Mobile systems, applications, and services - MobiSys '13  
To address this, CarSafe uses other embedded sensors on the phone (i.e., inertial sensors) to generate soft hints regarding potential blind spot dangers.  ...  Results from the CarSafe deployment are promising -CarSafe can infer a common set of dangerous driving behaviors and road conditions with an overall precision and recall of 83% and 75%, respectively.  ...  The CarSafe app should be capable of recognizing these unsafe car trajectories using both the inertial sensors and the rear camera of the phone when available.  ... 
doi:10.1145/2462456.2465428 dblp:conf/mobisys/YouLCWCBMCLTC13 fatcat:zwxisf76d5e67evnheyb2xy6ua

"Texting & Driving" Detection Using Deep Convolutional Neural Networks

José María Celaya-Padilla, Carlos Eric Galván-Tejada, Joyce Selene Anaid Lozano-Aguilar, Laura Alejandra Zanella-Calzada, Huizilopoztli Luna-García, Jorge Issac Galván-Tejada, Nadia Karina Gamboa-Rosales, Alberto Velez Rodriguez, Hamurabi Gamboa-Rosales
2019 Applied Sciences  
For this, a ceiling mounted wide angle camera coupled to a deep learning–convolutional neural network (CNN) are implemented to detect such distracted drivers.  ...  In this research, for the first time, a CNN is used to detect the problem of texting and driving, achieving a significant performance.  ...  "Artículo publicado con apoyo PFCE 2019" (article published with support of PFCE 2019). Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app9152962 fatcat:v25y77ndvfcsdprnisuwccdega

Mounted Smartphones as Measurement and Control Platforms for Motor-Based Laboratory Test-Beds

Jared Frank, Anthony Brill, Vikram Kapila
2016 Sensors  
Computer vision and machine learning algorithms are performed on the phone to detect the head pose and eye states of the driver to infer his/her attentiveness and drowsiness during driving, as well as  ...  to detect unsafe conditions such as tailgating, lane weaving, or drifting.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s16081331 pmid:27556464 pmcid:PMC5017495 fatcat:yunvbkjlofcdfnyfcljmi5q63e

Descending-stair detection, approach, and traversal with an autonomous tracked vehicle

J A Hesch, G L Mariottini, S I Roumeliotis
2010 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems  
This paper presents a strategy for descending-stair detection, approach, and traversal using inertial sensing and a monocular camera mounted on an autonomous tracked vehicle.  ...  of the stair edges detected by its camera.  ...  For controlling its motion, the robot switched between two heading strategies while on the stairs: (i) when near the unsafe stair-edge zone, it steered towards the middle of the stair, and (ii) when it  ... 
doi:10.1109/iros.2010.5649411 dblp:conf/iros/HeschMR10 fatcat:so5ano3fybdw7kqt2cjr6ixqwm

VR-OOM

David Goedicke, Jamy Li, Vanessa Evers, Wendy Ju
2018 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18  
To enjoy the benefit of customizable course design in controlled experiments with the immediacy and rich sensations of on-road driving, we have developed a new method and tools to enable VR driving simulation  ...  A preliminary pilot test (N = 6), centered on an autonomous driving scenario, yields promising results, illustrating proof of concept and indicating that a basic implementation of the system can invoke  ...  The work described here is open-source and will be made available on GitHub at the time of publication on https:// github.com/DavidGoedicke/VR-OOM.  ... 
doi:10.1145/3173574.3173739 dblp:conf/chi/GoedickeLEJ18 fatcat:o5kzwwcnq5dh3duuwtujplhp5y

A parallel autonomy research platform

Felix Naser, David Dorhout, Stephen Proulx, Scott Drew Pendleton, Hans Andersen, Wilko Schwarting, Liam Paull, Javier Alonso-Mora, Marcelo H. Ang, Sertac Karaman, Russ Tedrake, John Leonard (+1 others)
2017 2017 IEEE Intelligent Vehicles Symposium (IV)  
Our holistic approach includes: (1) a driveby-wire conversion method only based on reverse engineering, (2) mounting of relatively inexpensive sensors onto the vehicle, (3) implementation of a localization  ...  and mapping system, (4) obstacle detection and (5) a shared controller as well as (6) integration with an advanced autonomy simulation system (Drake) for rapid development and testing.  ...  An Inertial Measurement Unit (IMU) is mounted inside the car along the center axis to provide attitude and heading of the vehicle. A Global Positioning System (GPS) unit is mounted on the roof.  ... 
doi:10.1109/ivs.2017.7995835 dblp:conf/ivs/NaserDPPASPAAKT17 fatcat:rnr3yzuifjd6rlgtw6vporuera

Head-up Displays (HUD) in driving [article]

Marcos Maroto, Enrique Caño, Pavel González, Diego Villegas
2018 arXiv   pre-print
Head Up Displays (HUDs) were designed originally to present at the usual viewpoints of the pilot the main sensor data during aircraft missions, because of placing instrument information in the forward  ...  A solution is a context aware multimodal proactive recommended system that features personalized content combined with the use of car sensors to determine when the information has to be presented.  ...  [16] • In comparison with HDD( Head-Down Display): -In terms of response time to an urgent event, it was faster with the HUD (with a low driving loadheadup vs. head-down: 1.0073 vs. 1.8684 s; with a  ... 
arXiv:1803.08383v1 fatcat:4fa36dr24rc7xctq67665hiwnm

Robust Human Machine Interface Based on Head Movements Applied to Assistive Robotics

Elisa Perez, Natalia López, Eugenio Orosco, Carlos Soria, Vicente Mut, Teodiano Freire-Bastos
2013 The Scientific World Journal  
Sensing techniques of the interface are based on an inertial sensor and artificial vision. The orientation of the user's head is used to steer the navigation of a robotic wheelchair.  ...  head.  ...  Figure 4 : 4 Figure 4: Inertial sensor mounted on a cap or headband. These two accessories were proposed to provide comfort to the user's tastes.  ... 
doi:10.1155/2013/589636 pmid:24453877 pmcid:PMC3888755 fatcat:o3y5sr22kfgc5n4uexmdwpvuga

Autonomous Driving in Traffic: Boss and the Urban Challenge

Chris Urmson, Chris Baker, John Dolan, Paul Rybski, Bryan Salesky, William Whittaker, Dave Ferguson, Michael Darms
2009 The AI Magazine  
The DARPA Urban Challenge was a competition to develop autonomous vehicles capable of safely, reliably and robustly driving in traffic.  ...  An essential part of Boss' success stems from its ability to safely handle both abnormal situations and system glitches.  ...  Acknowledgments This work would not have been possible without the dedicated efforts of the Tartan Racing team and the generous support of our sponsors including  ... 
doi:10.1609/aimag.v30i2.2238 fatcat:oqnuuyw7unfixb2ybeq7jpc3dy
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