Practical classification of different moving targets using automotive radar and deep neural networks-Reference-Cited by-同舟云学术

Practical classification of different moving targets using automotive radar and deep neural networks

Published:2018-10 Issue:10 Volume:12 Page:1082-1089
ISSN:1751-8792
Container-title:IET Radar, Sonar & Navigation
language:en
Short-container-title:IET Radar, Sonar & Navigation

Author:

Angelov Aleksandar¹,Robertson Andrew²,Murray‐Smith Roderick³,Fioranelli Francesco¹

Affiliation:

1. School of EngineeringUniversity of GlasgowGlasgowUK

2. NXP SemiconductorsGlasgowUK

3. School of Computing ScienceUniversity of GlasgowGlasgowUK

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rsn.2018.0103

Reference37 articles.

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2. SAE International:‘Taxonomy and definitions for terms related to driving automation systems for On‐road motor vehicles’. Available athttp://standards.sae.org/j3016_201609/ 2016 accessed February 2018

3. ‘Radar camera lidar and V2X for autonomous cars’. Available athttps://blog.nxp.com/automotive/radar‐camera‐and‐lidar‐for‐autonomous‐cars 2017 accessed February 2018

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