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CarSafe: a driver safety app that detects dangerous driving behavior using dual-cameras on smartphones

Published: 05 September 2012 Publication History

Abstract

Driving while being tired or distracted is dangerous. We are developing the CafeSafe app for Android phones, which fuses information from both front and back cameras and others embedded sensors on the phone to detect and alert drivers to dangerous driving conditions in and outside of the car. CarSafe uses computer vision and machine learning algorithms on the phone to monitor and detect whether the driver is tired or distracted using the front camera while at the same time tracking road conditions using the back camera. CarSafe is the first dual-camera application for smart-phones.

References

[1]
Volvos work within active safety. http://www.crp.pt/docs/A18S104-6_3_MariaFlink.pdf.
[2]
iOnRoad. http://www.ionroad.com/.
[3]
C. C. Liu, S. G. Hosking, and M. G. Lenne. Predicting driver drowsiness using vehicle measures: Recent insights and future challenges. Journal of Safety Research, 40(4):239 245, 2009.

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  • (2024)Real-Time Contactless Eye Blink Detection Using UWB RadarIEEE Transactions on Mobile Computing10.1109/TMC.2023.332328023:6(6606-6619)Online publication date: Jun-2024
  • (2023)A Review of Driving Style Recognition Methods From Short-Term and Long-Term PerspectivesIEEE Transactions on Intelligent Vehicles10.1109/TIV.2023.32794258:11(4599-4612)Online publication date: Nov-2023
  • (2023)Integrating Gaze Tracking with Augmented Reality on Mobile Devices: A Framework for Enhanced User Interaction2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)10.1109/MetroXRAINE58569.2023.10405713(670-675)Online publication date: 25-Oct-2023
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  1. CarSafe: a driver safety app that detects dangerous driving behavior using dual-cameras on smartphones

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    cover image ACM Conferences
    UbiComp '12: Proceedings of the 2012 ACM Conference on Ubiquitous Computing
    September 2012
    1268 pages
    ISBN:9781450312240
    DOI:10.1145/2370216
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 05 September 2012

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    Author Tags

    1. dangerous driving behavior
    2. dual cameras
    3. smartphones

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    Ubicomp '12
    Ubicomp '12: The 2012 ACM Conference on Ubiquitous Computing
    September 5 - 8, 2012
    Pennsylvania, Pittsburgh

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    UbiComp '12 Paper Acceptance Rate 58 of 301 submissions, 19%;
    Overall Acceptance Rate 764 of 2,912 submissions, 26%

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    Cited By

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    • (2024)Real-Time Contactless Eye Blink Detection Using UWB RadarIEEE Transactions on Mobile Computing10.1109/TMC.2023.332328023:6(6606-6619)Online publication date: Jun-2024
    • (2023)A Review of Driving Style Recognition Methods From Short-Term and Long-Term PerspectivesIEEE Transactions on Intelligent Vehicles10.1109/TIV.2023.32794258:11(4599-4612)Online publication date: Nov-2023
    • (2023)Integrating Gaze Tracking with Augmented Reality on Mobile Devices: A Framework for Enhanced User Interaction2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)10.1109/MetroXRAINE58569.2023.10405713(670-675)Online publication date: 25-Oct-2023
    • (2023)Image-based Driver Alert System for Prevention of Fatigue-related AccidentsE3S Web of Conferences10.1051/e3sconf/202339101053391(01053)Online publication date: 5-Jun-2023
    • (2023)Detection of Eye Blink Using SVM ClassifierSmart Technologies in Data Science and Communication10.1007/978-981-19-6880-8_18(171-178)Online publication date: 1-Jan-2023
    • (2022)Robust Data-Driven Framework for Driver Behavior Profiling Using Supervised Machine LearningIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2020.303570023:4(3336-3350)Online publication date: Apr-2022
    • (2022)Safe Route Mapping of Roadways Using Multiple Sourced DataIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2020.303264323:4(3169-3179)Online publication date: Apr-2022
    • (2022)BlinkRadar: Non-Intrusive Driver Eye-Blink Detection with UWB Radar2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)10.1109/ICDCS54860.2022.00104(1040-1050)Online publication date: Jul-2022
    • (2022)Dangerous driving detection model based on short-range radio communication technology13TH INTERNATIONAL SCIENTIFIC CONFERENCE ON AERONAUTICS, AUTOMOTIVE AND RAILWAY ENGINEERING AND TECHNOLOGIES (BulTrans-2021)10.1063/5.0099385(050017)Online publication date: 2022
    • (2022)Assessment of Driving Behavior on Edge Devices Using Machine Learning and Sensor DataThe 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022)10.1007/978-3-031-03918-8_50(604-614)Online publication date: 17-Apr-2022
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