OBSTACLE DETECTION BASED ON HISTORY INFORMATION IN SELF-DRIVING VEHICLES

被引：0
|
作者：
Goudar, Swetha Indudhar [1 ]
Usa, Keishi [2 ]
Kamioka, Eiji [2 ]
Ku-Mahamud, Ku Ruhana [1 ]
机构：
[1] Univ Utara Malaysia, Changlun, Malaysia
[2] Shibaura Inst Technol, Tokyo, Japan
来源：
PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON COMPUTING AND INFORMATICS: EMBRACING ECO-FRIENDLY COMPUTING | 2017年
关键词：
Self-driving; Energy consumption; Intelligent transport systems; CARS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Self-driving is the budding technology gaining momentum in enhancing safety, accessibility, and comfort in the automated transport facility. With safety and comfort, the prime issues are resource utilization and power consumption of the components in the integrated system. This paper proposes a mechanism for obstacle detection in self-driving Intelligent Transport Systems and database information. The history-based obstacle detection reduces the power consumption while utilizing the resources to the maximum. The proposed mechanism of obstacle detection is evaluated in comparison with the existing and driver-based mechanisms.
引用
收藏
页码：702 / 707
页数：6
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