Deep cascade adaboost with unsupervised clustering in autonomous vehicles

HIGHLIGHTS

• who: Jianghua Duan et al. from the State Key Laboratory of CEMEE, Luoyang, China School of Telecommunications Engineering, Xidian University, Xi`an, China have published the Article: Deep Cascade AdaBoost with Unsupervised Clustering in Autonomous Vehicles, in the Journal: Electronics 2023, 12, 44. of /2023/
• what: The authors propose a novel Deep Cascade AdaBoost model which effectively combines the unsupervised clustering algorithm based on deep learning and the traditional AdaBoost algorithm. Next the authors design a training framework for Cascade-AdaBoost based on clustering and mathematically demonstrate that the framework has better detection performance than . . .
  

   

  

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