Sökning: "Deepika Anantha Padmanaban"

Hittade 1 uppsats innehållade orden Deepika Anantha Padmanaban.

  1. 1. Identification of Fundamental Driving Scenarios Using Unsupervised Machine Learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Deepika Anantha Padmanaban; [2020]
    Nyckelord :Time-series Segmentation; Time-series Clustering; Stacked Sparse Autoencoders; Unsupervised Learning; Autonomous Driving; Feature Extraction; Segment av tidsserier; Tidsserie-kluster; Staplade autokodare; Oövervakat lärande; Autonom körning; Särdragsextraktion;

    Sammanfattning : A challenge to release autonomous vehicles to public roads is safety verification of the developed features. Safety test driving of vehicles is not practically feasible as the acceptance criterion is driving at least 2.1 billion kilometers [1]. LÄS MER