CarSafe app

You, Chuang-Wen; Lane, Nicholas D.; Chen, Fanglin; Wang, Rui; Chen, Zhenyu; Bao, Thomas J.; Montes-de-Oca, Martha; Cheng, Yuting; Lin, Mu; Torresani, Lorenzo; Campbell, Andrew T.

doi:10.1145/2462456.2465428

Cited by 112 publications

(14 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several researchers are beginning to explore smartphone applications that can monitor impaired driving performance (Dai et al, 2010;Hammoud & Zhang, 2008;He et al, 2013;Johnson & Trivedi, 2011;You et al, 2013;Zeeman & Booysen, 2013;), such as drunk, distracted, aggressive and drowsy driving. However, no attempts have been made to detect texting while driving yet.…”

Section: Discussionmentioning

confidence: 99%

Mutual interferences of driving and texting performance

Chaparro

et al. 2015

Computers in Human Behavior

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

Mutual interferences of driving and texting performance

Chaparro

et al. 2015

Computers in Human Behavior

View full text Add to dashboard Cite

“…CarSafe utilizes both the forward and rear-facing cameras to monitor the driver's face and eyes along with the road ahead [13]. CarSafe detects and alerts drowsy drivers and warns them of events such as straddling the center line.…”

Section: Related Work: Monitoring Driver Behaviormentioning

confidence: 99%

“…[7] [8] [9] [10]. Applications of the technology include insurance telematics (Pay How You Drive) [11], detecting impaired driving [12] [13], car pooling and ride sharingwhere driver reputation and safety are used to decide who to drive with, eco-driving [14] to reduce pollution, and use of crowd-sourced data to identify potential crashrisk areas of the road network [15].…”

Section: Introductionmentioning

confidence: 99%

Behavior Change for Youth Drivers: Design and Development of a Smartphone-Based App (BackPocketDriver) (Preprint)

Warren¹,

Meads²,

Whittaker³

et al. 2017

Preprint

View full text Add to dashboard Cite

Background: The over representation of youth in road crash injury and fatality rates is a major public health problem globally. In New Zealand, youth drivers are most vulnerable in the restricted license period, when they can drive without the requirement for supervision by an experienced adult. Behavioral change interventions delivered using smartphone technology to young drivers could serve as a useful feedback mechanism for safe driving in this context, but this potential remains to be fully explored. Objective: We have applied behavioral change principles to design and develop a smartphone based intervention with the aim of helping youth drivers develop and hone safe driving skills. Methods: An iterative process was used to support development of the smartphone intervention. We reviewed behavioral change literature, identifying fundamental principles and exploring use of behavioral change techniques in other areas of public health. We engaged with key stakeholders, including young drivers, government agencies and relevant organizations. We also took into account technology adoption considerations when designing the application. Results: We developed BackPocketDriver, an Android smartphone app that uses inbuilt sensors to monitor and infer driver behavior. The application implements features that were identified during the design process and which are traceable to behavioral change techniques. Features identified include messaging to enhance motivation and driver education, journey feedback summaries, goal setting, social support and gamification elements (achievements and leaderboards). Conclusions: BackPocketDriver's design rests on a sound foundation -behavioral change theory. With explicit links between the theory and app features, the app aims to be an effective intervention to change and improve youth driver behavior. The next phase of this work is to run a small pilot study to assess BackPocketDriver's effectiveness.

show abstract

“…The CarSafe App [10] was introduced by You et al, for instance, analyses the images from front and back cameras of smartphones to monitor the driver as well as the road ahead. Another interesting application available for download is iOnRoad [11], which aims at providing driving assistance functions including augmented driving, collision warning and "black-box" like video recording.…”

Section: State Of the Artmentioning

confidence: 99%

EYES: A Novel Overtaking Assistance System for Vehicular Networks

Patra

Arnanz

Calafate

et al. 2015

Ad-Hoc, Mobile, and Wireless Networks

View full text Add to dashboard Cite

Abstract. Developments in the ITS area are received with great expectation by both consumers and industry. Despite their huge potential benefits, ITS solutions suffer from the slow pace of adoption by manufacturers. In this paper we propose EYES, an ITS system that aims at helping drivers in overtaking. The system autonomously creates a network of the devices running EYES, and provides drivers with a video feed from the vehicle located just ahead, thus presenting a better view of any vehicles coming from the opposite direction and the road ahead. This is specially useful when the front view of the driver is blocked by large vehicles, and thus the decision whether to overtake can be taken based on the visuals provided by the application. We have validated EYES, the proposed overtaking assistance system, in both indoor and realistic scenarios involving vehicular network, and preliminary results allow being optimistic about its effectiveness and applicability.

show abstract

CarSafe app

Cited by 112 publications

References 13 publications

Mutual interferences of driving and texting performance

Mutual interferences of driving and texting performance

Behavior Change for Youth Drivers: Design and Development of a Smartphone-Based App (BackPocketDriver) (Preprint)

EYES: A Novel Overtaking Assistance System for Vehicular Networks

Contact Info

Product

Resources

About