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Programmable Systems for Intelligence in Automobiles

 

  • Home
  • News
  • Project
    • About Prystine
    • PRYSTINE goals
    • PRYSTINE objectives
    • PRYSTINE’s Supply Chain and Work Package structure and correlation to Objectives
    • PRYSTINE Demonstrators
    • PRYSTINE Publications
    • PRYSTINE DISSEMINATION MATERIAL
  • Consortium
  • Contact
  • Impressum
  • Search

Questionnaire

 

An Investigation on Consumers' Intensions to Use Vehicles with Autonomous Driving Technology

 

2019 - UNCERTAINTY ANALYSIS OF DEEP NEURAL NETWORK CLASSIFICATION FOR VULNERABLE ROAD USERS USING MICRO-DOPPLER

Authors: A. Dubey, J. Fuchs, T. Reissland, R. Weigel and F. Lurz

Published:  “IEEE international conference on vehicular electronics and safety (ICVES 19)” in Cairo.

Partner: FAU

Year of publishing: 2019

Title: UNCERTAINTY ANALYSIS OF DEEP NEURAL NETWORK CLASSIFICATION FOR
VULNERABLE ROAD USERS USING MICRO-DOPPLER

Place of publication: TBD

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Acknowledgement

PRYSTINE has received funding within the Electronic Components and Systems for European Leadership Joint Undertaking (ECSEL JU) in collaboration with the European Union's H2020 Framework Programme and National Authorities, under grant agreement n° 783190

ECSEL Joint Undertaking

EU