연구동향 분석

컨벌루션 신경망을 사용한 다중 차선 인식

박희문 황광복 배준경 박진현 2022년

논문상세정보
인용/피인용
' 컨벌루션 신경망을 사용한 다중 차선 인식' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • Convolutional neural network(컨벌루션 신경망)
  • Multi-lanes detection(다중 차선 인식)
  • fifth-order polynomial(5차 다항식)
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
6 0

0.0%

' 컨벌루션 신경망을 사용한 다중 차선 인식' 의 참고문헌

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    M. Beyeler [2014]
  • Towards end-to-end lane detection : an instance segmentation approach
    D. Neven [2018]
  • The tusimple lane challenge
  • Shufflenet : An extremely efficient convolutional neural network for mobile devices
    X. Zhang [2018]
  • SegNet : A deep convolutional encoder-decoder architecture for image segmentation
  • Robot intelligence technology and applications 2
  • Reliable multilane detection and classification by utilizing CNN as a regression network
    S. Chougule [2018]
  • Recent progress in road and lane detection: A survey
  • Recent Progress in Road and Lane Detection : A Survey
  • Product liability for ADAS; legal and human factors perspectives
    K. V. Wees [2020]
  • Handbook of Intelligent Vehicles
    J. E. Gayko [2012]
  • Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection
    J. Kim [2017]
  • End-to-end lane detection through differentiable least-squares fitting
  • Efficient lane and vehicle detection with integrated synergies(ELVIS)
  • EL-GAN : Embedding loss driven generative adversarial networks for lane detection
  • DeepLanes : End-To-End Lane Position Estimation using Deep Neural Networks
    A. Gurghian [2016]
  • Computer Vision for Autonomous Vehicles : Problems, Datasets and State-of-the-Art
    J. Janai [2017]
  • CNN을 이용한 자율주행차 조향 제어
    황광복 [2020]
  • A new performance measure and evaluation benchmark for road detection algorithms
    J. Fritsch [2013]