Probabilistic Prediction of Pedestrian Crossing Intention Using Roadside LiDAR Data

Probabilistic Prediction of Pedestrian Crossing Intention Using Roadside LiDAR Data

Pedestrians are vulnerable road users that need proactive protection. While both autonomous and connected vehicle technologies aim to deliver greater safety benefits, current designs heavily rely on vehicle-based or on-board sensors and lack strategic real-time interactions with pedestrians who do n...

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Bibliographic Details
Main Authors: Junxuan Zhao, Yinfeng Li, Hao Xu, Hongchao Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Confidence level
Naïve Bayes
pedestrian crossing intention
roadside LiDAR
Online Access:https://ieeexplore.ieee.org/document/8758964/

Internet

https://ieeexplore.ieee.org/document/8758964/

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