http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
자율주행 자동차를 위한 적응형 브레이크 시스템 소프트웨어 플랫폼 개발
금대현(Daehyun Kum),좌훈승(Hoon Sung Chwa) 제어로봇시스템학회 2021 제어·로봇·시스템학회 논문지 Vol.27 No.3
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 adaptively 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.