Safety Verification of RSS Model-Based Variable Focus Function Camera for Autonomous Vehicle
Today, as the spread of vehicles equipped with autonomous driving functions increases, accidents caused by autonomous vehicles are also increasing. Therefore, issues regarding safety and reliability of autonomous vehicles are emerging. Various studies have been conducted to secure the safety and reliability of autonomous vehicles, and the application of the International Organization for Standardization (ISO) 26262 standard for safety and reliability improvement and the importance of verifying the safety of autonomous vehicles are increasing. Recently, Mobileye proposed an RSS model called Responsibility Sensitive Safety, which is a mathematical model that presents the standardization of safety guarantees of the minimum requirements that all autonomous vehicles must meet. In this article, the RSS model that ensures safety and reliability was derived to be suitable for variable focus function cameras that can cover the cognitive regions of radar and lidar with a single camera. It is thought that by calculating the safety distance under various acceleration and speed conditions, it could contribute to considering the safety distance depending on the performance of an autonomous vehicle in the future.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/25740741
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Supplemental Notes:
- Abstract reprinted with permission of SAE International.
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Authors:
- Kim, Min Joong
- Kim, Tong Hyun
- Yu, Sung Hun
- Kim, Young Min
- Publication Date: 2022-2-25
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 227-236
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Serial:
- SAE International Journal of Connected and Automated Vehicles
- Volume: 5
- Issue Number: 3
- Publisher: SAE International
- ISSN: 2574-0741
- Serial URL: https://www.sae.org/publications/collections/content/E-JOURNAL-12/
Subject/Index Terms
- TRT Terms: Acceleration (Mechanics); Autonomous vehicles; Cognition; Mathematical models; Reliability; Visualization
- Subject Areas: Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01839158
- Record Type: Publication
- Source Agency: SAE International
- Report/Paper Numbers: 12-05-03-0019
- Files: TRIS, SAE
- Created Date: Mar 22 2022 10:14AM