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자율주행 자동차를 위한 적응형 브레이크 시스템 소프트웨어 플랫폼 개발

Title
자율주행 자동차를 위한 적응형 브레이크 시스템 소프트웨어 플랫폼 개발
Translated Title
Adaptive brake system software platform for self-driving cars
Authors
Kum, DaehyunChwa, Hoon Sung
DGIST Authors
Kum, DaehyunChwa, Hoon Sung
Issue Date
2021-03
Citation
Journal of Institute of Control, Robotics and Systems, 27(3), 197-201
Type
Article
Author Keywords
Brake systemSelf-driving carReal-time schedulingAUTOSAR
Keywords
Adaptive systemsAgricultural robotsAutonomous vehiclesComputer softwareFrictionSchedulingAdaptive parametersComputational taskDynamic environmentsElectro-mechanical controlOnline schedulingResource efficienciesRoad friction coefficientsTime to collisionBrakes
ISSN
1976-5622
Abstract
The brake system of a self-driving car is one of the most important systems for ensuring safety. A typical brake system performs several computational tasks, including perception, high-level brake control, and low-level electromechanical control tasks. The status-quo design for scheduling such brake-related tasks is based on the static approach where all parameters for those tasks are fixed when designing the brake system. Such a static approach has the following limitations in terms safety and resource efficiency: i) It cannot adap-tively respond to dynamic environments, such as varying road friction coefficients and the time to collision. ii) The brake operation time constitutes only a small portion of total driving time. Hence, to address this issue, we propose a new adaptive brake system software platform that enables adaptive parameter assignment and dynamic online scheduling to cope with dynamic environments. We implemented and integrated the proposed adaptive parameter assignment and scheduling platform into an AUTOSAR-based brake system, an open and standardized automotive software architecture. Thus, we could significantly improve safety and reliability by shortening the braking distance. © ICROS 2021.
URI
http://hdl.handle.net/20.500.11750/13897
http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE10535344
DOI
10.5302/J.ICROS.2021.20.0178
Publisher
제어·로봇·시스템학회
Related Researcher
Files:
There are no files associated with this item.
Collection:
Division of Automotive Technology1. Journal Articles
Department of Electrical Engineering and Computer ScienceReal-Time Computing Lab1. Journal Articles


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