2021
DOI: 10.1109/access.2021.3116303
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Behavior Prediction of Traffic Actors for Intelligent Vehicle Using Artificial Intelligence Techniques: A Review

Abstract: Intelligent vehicle technology has made tremendous progress due to Artificial Intelligence (AI) techniques.Accurate behavior prediction of surrounding traffic actors is essential for the safe and secure navigation of the intelligent vehicle. Minor misbehavior of these vehicles on the busy roads may lead to an accident. Due to this, there is a need for vehicle behavior research work in today's era. This research article reviews traffic actors' behavior prediction techniques for intelligent vehicles to perceive,… Show more

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Cited by 26 publications
(10 citation statements)
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“…There have been numerous examples of research performed to model and predict behavior in a driving scenario [53]. These topics include methods which model pedestrian behavior [20] or the behavior of other drivers [13,18,31].…”
Section: Driver Prediction and Autonomous Drivingmentioning
confidence: 99%
“…There have been numerous examples of research performed to model and predict behavior in a driving scenario [53]. These topics include methods which model pedestrian behavior [20] or the behavior of other drivers [13,18,31].…”
Section: Driver Prediction and Autonomous Drivingmentioning
confidence: 99%
“…There have been numerous examples of research performed to model and predict behavior in a driving scenario [60].…”
Section: Driver Prediction and Autonomous Drivingmentioning
confidence: 99%
“…There already exists a couple of survey papers on pedestrian trajectory prediction. Models for both pedestrian and vehicle trajectory prediction are reviewed in [7], [8] while showing the similarities between the motion models used for vehicles and pedestrians [7]. But the authors have not discussed the differences between the various agent classes and their interactions caused by their different dynamic nature which is one of the focuses of our work.…”
Section: Introductionmentioning
confidence: 99%
“…But the authors have not discussed the differences between the various agent classes and their interactions caused by their different dynamic nature which is one of the focuses of our work. Kolekar et al [8] pointed out the importance of using the traffic rules and road geometry as input for a promising behaviour prediction model since they were focused on road scenarios, whereas our work is focused on reviewing the existing models that can be applied to unstructured environments (i.e., those without assumptions on traffic rules). In addition, not all the papers surveyed above necessarily have both types of agents simultaneously to consider pedestrian-vehicle interaction.…”
Section: Introductionmentioning
confidence: 99%