Adding Intelligence to Cars Using the Neural Knowledge DNA. Issue 3 (3rd April 2017)

• Record Type: Journal Article
• Authors: Zhang, Haoxi; Li, Fei; Wang, Juan; Wang, Zuli; Shi, Lei; Zhao, Jun; Sanín, Cesar; Szczerbicki, Edward
• Is Part Of: Cybernetics and systems. Volume 48:Issue 3(2017)
• Page Start: 267
• Page End: 273
• Publication Date: 2017-04-03
• Subjects: Decisional DNA -- deep learning -- knowledge representation -- neural networks -- set of experience knowledge structure; Cybernetics -- Periodicals; System theory -- Periodicals; 003.5
• DOI: 10.1080/01969722.2016.1276780
• Languages: English
• ISSNs: 0196-9722

Abstract

ABSTRACT: In this paper, we propose a Neural Knowledge DNA (NK-DNA)-based framework that is capable of learning from the car's daily operations and reusing such learned knowledge in future tasks. The NK-DNA is a novel knowledge representation and reasoning approach designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing devices. We examine our framework for drivers' classification based on their driving behaviors. The experimental data are collected via smartphone sensors. The initial results are presented, and the direction for our future research is defined.