Machine-vision systems for intelligent transportation systems

被引：39

作者：

Masaki, I ^{[1
]}

机构：

[1] MIT, Intelligent Transportat Res Ctr, Microsyst Technol Labs, Cambridge, MA 02139 USA

来源：

IEEE INTELLIGENT SYSTEMS & THEIR APPLICATIONS | 1998年 / 13卷 / 06期

关键词：

D O I：

10.1109/5254.735999

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

ITS can use machine vision to detect lane markings, vehicles, pedestrians, road signs, traffic conditions, traffic incidents, and even driver drowsiness. Challenges include making machine-vision systems less expensive, more compact, and more robust in various weather and traffic conditions.

引用

页码：24 / 31

页数：8

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