Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Impact of Intra-class Variance on YOLOv5 Model Performance for Autonomous Navigation around Non-Cooperative Targets



    Conference:

    AIAA SCITECH 2023 Forum



    Publication date :

    2023-01-01



    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Impact of Intra-class Variance on YOLOv5 Model Performance for Autonomous Navigation around Non-Cooperative Targets

    Mahendrakar, Trupti / Attzs, Monty N. / Tisaranni, Ashley L. et al. | TIBKAT | 2023


    Performance Study of YOLOv5 and Faster R-CNN for Autonomous Navigation around Non-Cooperative Targets

    Mahendrakar, Trupti / Ekblad, Andrew / Fischer, Nathan et al. | IEEE | 2022


    Space Relative Navigation for Autonomous Safe Capture of Non-Cooperative Targets

    Gómez Martínez, Harvey Camilo | BASE | 2019

    Free access

    Pedestrian Detection with YOLOv5 in Autonomous Driving Scenario

    Jin, Xianjian / Li, Zhiwei / Yang, Hang | IEEE | 2021


    Pedestrian Detection Using YOLOv5 For Autonomous Driving Applications

    Vikram Reddy, Etikala Raja / Thale, Sushil | IEEE | 2021