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An improved one-stage detector for vehicle and pedestrian detection on campus AGV**Research supported in part by the Key Area Research and Development Program of Guangdong Province under Grant 2020B0909020001, in part by the National Natural Science Foundation of China under Grant 62003059, 61772095, in part by China Postdoctoral Science Foundation under Grant 2020M673136, in part by the Chongqing Science Fund for Outstanding Young Scholars under Grant cstc2019jcyjjqX0015, and in part by the Fundamental Research Funds for the Central Universities under Grant cqu2018CDHB1A06, Grant 2019CDCGZDH207, and Grant 2019CDYGZD010.

Ying WangRui LiQi QiXiaojie Su
Published in: ISR (2021)
Keyphrases
  • pedestrian detection
  • object detection
  • data mining
  • d objects
  • machine learning
  • detection method