Deep anticipation: lightweight intelligent mobile sensing for unmanned vehicles in IoT by recurrent architecture-Reference-Cited by-同舟云学术

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Deep anticipation: lightweight intelligent mobile sensing for unmanned vehicles in IoT by recurrent architecture

Published:2019-07-02 Issue:10 Volume:13 Page:1468-1474
ISSN:1751-9578
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Transport Systems

Author:

Chen Guang¹²³,Liu Shu⁴,Ren Kejia¹,Qu Zhongnan⁴,Fu Changhong¹,Hinz Gereon³,Knoll Alois³

Affiliation:

1. Tongji UniversityShanghai201804People's Republic of China

2. State Key Laboratory of Advanced Design and Manufacturing for Vehicle BodyPeople's Republic of China

3. Department of InformaticsTechnical University of MunichMunich85748Germany

4. ETH ZurichZurich8092Switzerland

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-its.2019.0208

Reference18 articles.

1. LengY.ZhaoL.‘Novel design of intelligent internet‐of‐vehicles management system based on cloud‐computing and internet‐of‐things’.Proc. of 2011 Int. Conf. on Electronic Mechanical Engineering and Information Technology 2011 vol.6 pp.3190–3193

2. AngskogP.KarlssonC.CollJ.F.et al.: ‘Sources of disturbances on wireless communication in industrial and factory environments’.2010 Asia‐Pacific Int. Symp. on Electromagnetic Compatibility 2010 pp.281–284

3. OndruskaP.PosnerI.: ‘Deep tracking: seeing beyond seeing using recurrent neural networks’ 2016 pp.3361–3367 abs/1602.00991

4. Sustainable Interdependent Networks II

5. A New Approach to Linear Filtering and Prediction Problems

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1. IoT infrastructure for the accident avoidance: an approach of smart transportation;International Journal of Information Technology;2022-01-29

2. COLREGs-Compliant Unmanned Surface Vehicles Collision Avoidance Based on Multi-Objective Genetic Algorithm;IEEE Access;2020

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