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Gaze and Eye Tracking: Techniques and Applications in ADAS
- Source :
- Sensors (Basel, Switzerland)
- Publication Year :
- 2019
- Publisher :
- MDPI AG, 2019.
-
Abstract
- Tracking drivers’ eyes and gazes is a topic of great interest in the research of advanced driving assistance systems (ADAS). It is especially a matter of serious discussion among the road safety researchers’ community, as visual distraction is considered among the major causes of road accidents. In this paper, techniques for eye and gaze tracking are first comprehensively reviewed while discussing their major categories. The advantages and limitations of each category are explained with respect to their requirements and practical uses. In another section of the paper, the applications of eyes and gaze tracking systems in ADAS are discussed. The process of acquisition of driver’s eyes and gaze data and the algorithms used to process this data are explained. It is explained how the data related to a driver’s eyes and gaze can be used in ADAS to reduce the losses associated with road accidents occurring due to visual distraction of the driver. A discussion on the required features of current and future eye and gaze trackers is also presented.
- Subjects :
- Automobile Driving
Eye Movements
Computer science
Process (engineering)
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Review
02 engineering and technology
eye tracking
gaze tracking
Biochemistry
Analytical Chemistry
InformationSystems_MODELSANDPRINCIPLES
Human–computer interaction
0502 economics and business
0202 electrical engineering, electronic engineering, information engineering
Humans
Electrical and Electronic Engineering
Instrumentation
050210 logistics & transportation
business.industry
advanced driving assistance systems (ADAS)
05 social sciences
Accidents, Traffic
Tracking system
Gaze
Atomic and Molecular Physics, and Optics
point of regard (PoR)
Eye tracking
020201 artificial intelligence & image processing
road safety
business
line of sight (LoS)
Algorithms
Subjects
Details
- ISSN :
- 14248220
- Volume :
- 19
- Database :
- OpenAIRE
- Journal :
- Sensors
- Accession number :
- edsair.doi.dedup.....c193e8edd87608678bb9fcf70a341431