An Interacting Multiple Model Approach for Target Intent Estimation at Urban Intersection for Application to Automated Driving Vehicle

An Interacting Multiple Model Approach for Target Intent Estimation at Urban Intersection for Application to Automated Driving Vehicle

Research shows that urban intersections are a hotspot for traffic accidents which cause major human injuries. Predicting turning, passing, and stop maneuvers against surrounding vehicles is considered to be fundamental for advanced driver assistance systems (ADAS), or automated driving systems in ur...

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Bibliographic Details
Main Authors: Donghoon Shin, Subin Yi, Kang-moon Park, Manbok Park
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Applied Sciences
Subjects:
motion prediction
target intent inference
urban intersection
automated driving
Online Access:https://www.mdpi.com/2076-3417/10/6/2138

Internet

https://www.mdpi.com/2076-3417/10/6/2138

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