Deep Learning in Automotive Software

被引：56

作者：

Falcini, Fabio ^{[1
]}

Lami, Giuseppe ^{[1
]}

Costanza, Alessandra Mitidieri ^{[1
]}

机构：

[1] Natl Res Council Italy, Informat Sci & Technol Inst, Rome, Italy

来源：

IEEE SOFTWARE | 2017年 / 34卷 / 03期

基金：

英国医学研究理事会;

关键词：

ANNs; artificial intelligence; artificial neural networks; Automotive SPICE; computer vision; computing methodologies; deep neural networks; ISO; 26262; ISO/AWI PAS 21448; neural networks; software development; software engineering; software engineering process; standards; V model; vision and scene understanding; W model;

D O I：

10.1109/MS.2017.79

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Deep learning is becoming crucial to the development of automotive software for applications such as autonomous driving. Researchers have devised a framework that supports a robust, disciplined development lifecycle for such software.

引用

页码：56 / 63

页数：8

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