Ajou University repository

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Showing results 1 to 10 of 1090 (Search time: 0.0 seconds).

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, pp.843-852
  • Korean Society of Automotive Engineers
Collision Prediction in an Integrated Framework of Scenario-Based and Data-Driven Approachesoa mark
  • 2024-01-01
  • IEEE Access, Vol.12, pp.55234-55247
  • Institute of Electrical and Electronics Engineers Inc.
Data-Driven Strategy Decision Integrating Convolution Neural Network With Threat Assessment and Motion Prediction for Automatic Evasive Steeringoa mark
  • 2023-01-01
  • IEEE Access, Vol.11, pp.140881-140892
  • Institute of Electrical and Electronics Engineers Inc.
고정경로 환경에서 다중 AGV의 충돌 없는 경로계획의 안정성 향상에 대한 연구
  • 안기형
  • 2021-02
  • The Graduate School, Ajou University
Object detection for emergency steering control
  • 강상연
  • 2021-08
  • The Graduate School, Ajou University
A Faster Cooperative Lane Change Controller Enabled by Formulating in Spatial Domain
  • 2023-12-01
  • IEEE Transactions on Intelligent Vehicles, Vol.8, pp.4685-4695
  • Institute of Electrical and Electronics Engineers Inc.
A generalized driving risk assessment on high-speed highways using field theoryoa mark
  • 2023-12-01
  • Analytic Methods in Accident Research, Vol.40
  • Elsevier Ltd
Collision Avoidance of UAV Formation Using Geometric Approach and Relative Velocity Vector in Three-dimensional Space 기하적 방법 및 상대 속도 벡터를 이용한 3차원 상의 UAV 편대 충돌 회피 기법
  • 2024-07-01
  • Journal of the Korean Society for Aeronautical and Space Sciences, Vol.52, pp.529-538
  • Korean Society for Aeronautical and Space Sciences
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, pp.817-826
  • Korean Society of Automotive Engineers
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