Obstacle detection based on history information in self-driving vehicles
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 me...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2017
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/23775/1/ICOCI%202017%20702-707.pdf |
| _version_ | 1803628600216256512 |
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| author | Goudar, Swetha Indudhar Usa, Keishi Kamioka, Eiji Ku-Mahamud, Ku Ruhana |
| author_facet | Goudar, Swetha Indudhar Usa, Keishi Kamioka, Eiji Ku-Mahamud, Ku Ruhana |
| author_sort | Goudar, Swetha Indudhar |
| collection | UUM |
| description | 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. |
| first_indexed | 2024-07-04T06:24:32Z |
| format | Conference or Workshop Item |
| id | uum-23775 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:24:32Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | uum-237752018-04-02T00:25:39Z https://repo.uum.edu.my/id/eprint/23775/ Obstacle detection based on history information in self-driving vehicles Goudar, Swetha Indudhar Usa, Keishi Kamioka, Eiji Ku-Mahamud, Ku Ruhana QA75 Electronic computers. Computer science 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. 2017-04-25 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/23775/1/ICOCI%202017%20702-707.pdf 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. http://icoci.cms.net.my/PROCEEDINGS/2017/TOC.html |
| spellingShingle | QA75 Electronic computers. Computer science Goudar, Swetha Indudhar Usa, Keishi Kamioka, Eiji Ku-Mahamud, Ku Ruhana Obstacle detection based on history information in self-driving vehicles |
| title | Obstacle detection based on history information in self-driving vehicles |
| title_full | Obstacle detection based on history information in self-driving vehicles |
| title_fullStr | Obstacle detection based on history information in self-driving vehicles |
| title_full_unstemmed | Obstacle detection based on history information in self-driving vehicles |
| title_short | Obstacle detection based on history information in self-driving vehicles |
| title_sort | obstacle detection based on history information in self driving vehicles |
| topic | QA75 Electronic computers. Computer science |
| url | https://repo.uum.edu.my/id/eprint/23775/1/ICOCI%202017%20702-707.pdf |
| work_keys_str_mv | AT goudarswethaindudhar obstacledetectionbasedonhistoryinformationinselfdrivingvehicles AT usakeishi obstacledetectionbasedonhistoryinformationinselfdrivingvehicles AT kamiokaeiji obstacledetectionbasedonhistoryinformationinselfdrivingvehicles AT kumahamudkuruhana obstacledetectionbasedonhistoryinformationinselfdrivingvehicles |