Title
Automated Braking Decision and Control for Pedestrian Collision Avoidance Based on Risk Assessment
Abstract
An automated braking decision and control framework is proposed in this article to avoid intelligent vehicle–pedestrian collisions. The framework contains three parts: pedestrian collision risk assessment, automated braking decision making, and automated braking control. First, a kinematic vehicle model and a Kalman filter are used to estimate the path trajectories of a host vehicle and a pedestri...
Year
DOI
Venue
2022
10.1109/MITS.2021.3098618
IEEE Intelligent Transportation Systems Magazine
Keywords
DocType
Volume
Trajectory,Vehicles,Roads,Risk management,Motion estimation,Decision making,Collision avoidance
Journal
14
Issue
ISSN
Citations 
3
1939-1390
1
PageRank 
References 
Authors
0.38
0
6
Name
Order
Citations
PageRank
Lin Zhang110451.47
Jiawei Yuan210.38
Kang Yuan310.38
Jinlong Hong410.38
Haitao Ding510.38
Hong Chen628056.04