An implementation of smartphone-based driver assistance system using front and rear camera

Author

Kyungwon Chang ; Byung-Hun Oh ; Kwang-Seok Hong

Author_Institution

Coll. of Inf. & Commun. Eng., Sungkyunkwan Univ., Suwon, South Korea

fYear

2014

fDate

10-13 Jan. 2014

Firstpage

280

Lastpage

281

Abstract

This paper proposes a smartphone-based driver assistance system which uses front and rear camera image recognition to help maintain the safety of the driver. This system uses a front camera image to detect the drowsiness of the driver, and a rear camera image to detect the vehicle in front. This means the system is able to calculate the distance between the front vehicle and the driver, so it can warn if the front vehicle gets too close. This system also uses sound recognition in the vehicle engine check-up and command input, so the driver can switch between the front and rear cameras using only his or her voice.

Keywords

driver information systems; image sensors; object detection; object recognition; smart phones; command input; distance calculation; driver drowsiness detection; driver safety; front camera image recognition; rear camera image recognition; smartphone-based driver assistance system; sound recognition; vehicle engine check-up; Accidents; Cameras; Engines; Mouth; Safety; Speech recognition; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics (ICCE), 2014 IEEE International Conference on

Conference_Location

Las Vegas, NV

ISSN

2158-3994

Print_ISBN

978-1-4799-1290-2

Type

conf

DOI

10.1109/ICCE.2014.6776004

Filename

6776004