Driver Intention Recognition: State-of-the-Art Review

Every year worldwide more than one million people die and a further 50 million people are injured in traffic accidents. Therefore, the development of car safety features that actively support the driver in preventing accidents, is of utmost importance to reduce the number of injuries and fatalities....

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Bibliographic Details
Published inIEEE open journal of intelligent transportation systems Vol. 3; pp. 602 - 616
Main Authors Vellenga, Koen, Steinhauer, H. Joe, Karlsson, Alexander, Falkman, Goran, Rhodin, Asli, Koppisetty, Ashok Chaitanya
Format Journal Article
LanguageEnglish
Published New York IEEE 2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Accident prevention
Accidents
Advanced driver assistance systems
Automobiles
Behavioral sciences
Computer architecture
Computer vision
driver behavior
Driver intentions
driving maneuvers
Hidden Markov models
Injury prevention
intention recognition
Skövde Artificial Intelligence Lab (SAIL)
State-of-the-art reviews
Technology assessment
Traffic accidents
Vehicle safety
Wheels
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Summary:Every year worldwide more than one million people die and a further 50 million people are injured in traffic accidents. Therefore, the development of car safety features that actively support the driver in preventing accidents, is of utmost importance to reduce the number of injuries and fatalities. However, to establish this support it is necessary that the advanced driver assistance system (ADAS) understands the driver's intended behavior in advance. The growing variety of sensors available for vehicles together with improved computer vision techniques, hence led to increased research directed towards inferring the driver's intentions. This article reviews 64 driver intention recognition studies with regard to the maneuvers considered, the driving features included, the AI methods utilized, the achieved performance within the presented experiments, and the open challenges identified by the respected researchers. The article provides a high level analysis of the current technology readiness level of driver intention recognition technology to address the challenges to enable reliable driver intention recognition, such as the system architecture, implementation, and the purpose of the technology.
ISSN:2687-7813
2687-7813
DOI:10.1109/OJITS.2022.3197296