Drivers’ Visual Behavior-Guided RRT Motion Planner for Autonomous On-Road Driving

Drivers’ Visual Behavior-Guided RRT Motion Planner for Autonomous On-Road Driving

This paper describes a real-time motion planner based on the drivers’ visual behavior-guided rapidly exploring random tree (RRT) approach, which is applicable to on-road driving of autonomous vehicles. The primary novelty is in the use of the guidance of drivers’ visual search behavior in the framew...

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Bibliographic Details
Main Authors: Mingbo Du, Tao Mei, Huawei Liang, Jiajia Chen, Rulin Huang, Pan Zhao
Format: Article
Language:English
Published: MDPI AG 2016-01-01
Series:Sensors
Subjects:
motion planning
autonomous vehicle
drivers’ visual behavior
RRT (rapidly-exploring random tree)
on-road driving
Online Access:http://www.mdpi.com/1424-8220/16/1/102

Internet

http://www.mdpi.com/1424-8220/16/1/102

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