Robust Lane-Mark Extraction for Autonomous Driving Under Complex Real Conditions

Robust Lane-Mark Extraction for Autonomous Driving Under Complex Real Conditions

Lane marks on roads are among the most important items of road scene information in the process of autonomous driving, and lane-mark extraction based on visual cognitive computing is one of the most important components of advanced driving assistance systems in intelligent transportation system. Onb...

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Bibliographic Details
Main Authors: Hanyu Xuan, Hongzhe Liu, Jiazheng Yuan, Qing Li
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Autonomous driving
ADASITS
lane-mark extraction
lane-features filter
multi-constraints
cluster features
Online Access:https://ieeexplore.ieee.org/document/8000310/

Internet

https://ieeexplore.ieee.org/document/8000310/

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