Ajou University repository

한국자동차공학회 논문집
ISSN
  • E2234-0149
  • P1225-6382
Publisher

한국자동차공학회

Listed on
(Coverage)

SJR2018-2020;2022-2023

CiteScore2018-2023

SCOPUS2018-2024

KCI(Ranking)2009-2023

KCI2002-2025

KCI(Candidate)1999-2001;2015;2023

Active
Active

based on the information

  • SCOPUS:2024-10
Country
SOUTH KOREA
Aime & Scopes
The Transactions of the Korean Society of Automotive Engineers (Trans. KSAE) has engaged in promoting the advancement of technology in the automotive industry mainly by the publication and dissemination of ideas among researchers in the world. Contents of Trans. KSAE cover mainly in the field of automotive and its related branches of engineering, science, and technology. The prime area of Trans. KSAE is encompassing all aspects of the field from the thermal engineering, flow analysis, structural analysis, modal analysis, control, vehicular electronics, mechatronics, electro-mechanical engineering, optimum design methods, ITS, and recycling. Interest extends from the basic science to technology applications with analytical, experimental and numerical studies.
Homepage
http://journal.ksae.org/ 
Article List

Showing results 1 to 5 of 5

Multi-Task Prediction of Collision and Trajectories Based on Transformer Network for Safety-Critical Scenarios of Automated Vehicles 위험 시나리오에 대한 트랜스포머 네트워크 기반 자율주행차량의 충돌 및 궤적 예측 알고리즘 개발
  • 2024-10-01
  • Transactions of the Korean Society of Automotive Engineers, Vol.32 No.10, pp.843-852
  • Korean Society of Automotive Engineers
Parameter Selection of Safety-Critical Scenarios Based on Scenario Database and Generative Models and Its Application to Generation of Car-Following and Cut-in Scenarios 시나리오 데이터베이스와 생성형 모델을 이용한 상세 시나리오의 파라미터 선정과 선행차량 추종 및 끼어들기 시나리오 생성으로의 적용oa mark
  • Jeong, Seonarm;
  • Lee, Semin;
  • Jeong, Younghun;
  • Kim, Seunghwan;
  • Song, Bongsob
  • 2024-01-01
  • Transactions of the Korean Society of Automotive Engineers, Vol.32 No.3, pp.309-317
  • Korean Society of Automotive Engineers
Maneuver Classification of Lane Change Based on Roadside Sensors Using Field Operational Test Dataoa mark
  • 2022-01-01
  • Transactions of the Korean Society of Automotive Engineers, Vol.30 No.10, pp.831-838
  • Korean Society of Automotive Engineers
Training and Performance Analysis of Vehicle Detection Neural Networks to Field Test and Simulation Datasets of Multi-channel Lidaroa mark
  • 2021-01-01
  • Transactions of the Korean Society of Automotive Engineers, Vol.29 No.12, pp.1123-1132
  • Korean Society of Automotive Engineers
Critical scenario generation for collision avoidance of automated vehicles based on traffic accident analysis and machine learningoa mark
  • 2020-11-01
  • Transactions of the Korean Society of Automotive Engineers, Vol.28 No.11, pp.817-826
  • Korean Society of Automotive Engineers
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