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Obstacle detection based on history information in self-driving vehicles


Goudar, Swetha Indudhar and Usa, Keishi and Kamioka, Eiji and Ku-Mahamud, Ku Ruhana (2017) Obstacle detection based on history information in self-driving vehicles. In: International Conference on Computing and Informatics (ICOCI 2017), 25-27April, 2017, Kuala Lumpur. Universiti Utara Malaysia.

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: eISBN 978-967-0910-33-8 Organized by: Universiti Utara Malaysia
Uncontrolled Keywords: Self-driving, Energy consumption, Intelligent transport systems.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: School of Computing
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 02 Apr 2018 00:25
Last Modified: 02 Apr 2018 00:25
URI: http://repo.uum.edu.my/id/eprint/23775

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