A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
Toward Detection of Unsafe Driving with Wearables
2015
Proceedings of the 2015 workshop on Wearable Systems and Applications - WearSys '15
Preserved Fulltext
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
2016
IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
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]
2014
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
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
2011
Investigative Ophthalmology and Visual Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2017
2017 21st Conference of Open Innovations Association (FRUCT)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
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
2013
Proceeding of the 11th annual international conference on Mobile systems, applications, and services - MobiSys '13
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2013
Proceeding of the 11th annual international conference on Mobile systems, applications, and services - MobiSys '13
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2019
Applied Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2016
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
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
2010
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf.
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
2018
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
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
2017
2017 IEEE Intelligent Vehicles Symposium (IV)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
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]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2013
The Scientific World Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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
2009
The AI Magazine
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
« Previous
Showing results 1 — 15 out of 368 results