Motion Cue-Based Sudden Pedestrian Behavior Prediction Using Fuzzy Inference

Motion Cue-Based Sudden Pedestrian Behavior Prediction Using Fuzzy Inference

As the motion of pedestrians is largely unpredictable, situational awareness presents a challenge for safe autonomous driving in urban areas. In particular, conventional sensor information about the dynamic states involved in determining and predicting pedestrian motion, including the walking speed,...

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Bibliographic Details
Main Authors: Yunhyoung Hwang, Byeongju Kang, Wonhee Kim
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Autonomous vehicle
C-ITS
fuzzy inference
pedestrian
sudden pedestrian
walking speed prediction
Online Access:https://ieeexplore.ieee.org/document/9550785/

Internet

https://ieeexplore.ieee.org/document/9550785/

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