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2차 충돌 회피 알고리즘 개발을 위한 충돌 시뮬레이션 환경 개발
김두용(Dooyong Kim),조승우(Seungwoo jo),소민우(Minwoo Soh),권재준(Jaejoon Kwon),홍태욱(Taewook Hong),박기홍(Kihong Park) 한국자동차공학회 2013 한국자동차공학회 학술대회 및 전시회 Vol.2013 No.11
Nowadays, the interest of advanced safety vehicle is increasing. As a result also research of active safety system is in progress. And, most of the active safety system was developed for the avoidance or mitigation of first crash. But, according to the recent study, secondary crash is more dangerous than first crash. So recently many vehicle company have developed secondary crash system. For the algorithm development, the simulation of vehicle crash is required. However, many vehicle dynamics analysis programs can"t simulate vehicle crash. And also programs that possible to simulate vehicle crash are not easy to develop the algorithm such as secondary crash algorithm. So, in this paper, the crash simulation environment for developing secondary crash avoidance algorithm was developed and validated.
사고영상 분석을 통한 상용 및 선행 CA 시스템의 성능 분석
임승국(Seungkuk Lim),조승우(Seungwoo Jo),권재준(Jaejoon Kwon),홍태욱(Taewook Hong),박기홍(Kihong Park),황태훈(Taehun Hwang),정태영(Taeyoung Chung) 한국자동차공학회 2012 한국자동차공학회 부문종합 학술대회 Vol.2012 No.5
This paper analyzes car accident by types from the Blackbox for vehicles, assess the commercialized CA system and then suggests the CA system which is developed in future. The Type of car accident is sorted by using the criteria from the TAAS(Traffic Accident Analysis System) and it is compared with the statistical data from NHTSA(National Highway Traffic Safety Administration). Therefore the data from the Blackbox can have reliability. According to the survey which investigates Commercialized CA systems of 6 leading manufacturers they reach uppermost limit. And this study find the limitation of commercialized CA system in consequence of applying the system to circumstance from the Blackbox images. In the view of the results this paper suggests the precedent CA system in last chapter.
위험 상황 판단 알고리즘 개발 및 PreScan 기반 성능 검증에 관한 연구
류은혜(Eunhye Ryu),조승우(Seungwoo Jo),권재준(Jaejoon Kwon),홍태욱(Taewook Hong),박기홍(Kihong Park) 한국자동차공학회 2013 한국자동차공학회 부문종합 학술대회 Vol.2013 No.5
For increasing the performance of the ADAS, a advanced research about awareness of circumstance around the vehicle should be performed. In this paper, therefore, proposes the Risk Situation Awareness Algorithm based on Camera and Radar sensor to combined advantages of each sensor and represents quantitative index of risk situation. The sensors are medeled and driving environment is established using PreScan. To represents vehicle motion, CarSim is adopted. MATLAB/Simulink is used for co-simulation and realizing the awareness algorithm. The performance verification of proposed risk situation awareness algorithm is conducted via SILS with above softwares.
Simulink 기반 Rapid-Prototype을 이용한 영구자석 전동기 제어 SW 개발
함승권(Seungkwon Hahm),조승우(Seungwoo Jo),양병훈(Byunghoon Yang),박주영(Jooyoung Park),박기홍(Kihong Park),이근호(Geunho Lee) 한국자동차공학회 2013 한국자동차공학회 부문종합 학술대회 Vol.2013 No.5
Recently, The skill that model can be applied to embedded software development project through model-based design workflow by using MATLAB/simulink is on the rise. In these days, there are many cases to partially generate code of the targer processor in the form of Rapid Prototype, but in this paper, we generate and compile the entire code of the target processor work through the process. Performed without hand coding of the target processor code generation and compile work and was debugging target processor for controlling the actual motor to be able to control. The design of the algorithm, depending on the type of motor can be controlled using the Rapid Prototype. Use Simulink’s, RAppID Toolbox’s library and needed user library for the target’s setting and designing algorithm. User library is created by MATLAB/Simulink’s Legacy code tool function, TLC(Target Language Compiler), S-Function(Systems-Function). When the design is done, go through the debugging process after code generation and compile task. To perform current control of IPMSM and to measure execution time and were able to get satisfactory results.