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

Content Provider	IET Digital Library
Author	Chen, Guang Liu, Shu Ren, Kejia Qu, Zhongnan Fu, Changhong Hinz, Gereon Knoll, Alois
Abstract	Integrating Internet of things (IoT) techniques into automated vehicles has been a vision in intelligent transportation system, there is however seldom researches addressing it. To this end, we envision a scenario: short-range on-board sensor perception system attached to individual mobile applications such as vehicles are connected via IoT and transferred to long-range mobile-sensing perception system, which can be used as part of a more extensive intelligent system surveilling the environment. However, the mobile sensing perception brings new challenges for how to efficiently analyse and intelligently interpret the deluge of IoT data in mission-critical services. Among these challenges, one bottelneck is the quality of service of IoT communication. In this article, we model the communication challenge as latency, packet delay variation and measurement noise which severely deteriorate the reliability and quality of IoT data. We propose a novel architecture that leverages recurrent neural networks and Kalman filtering to anticipate motions and interactions between objects. The model learns to develop a biased belief between prediction and measurement in different situations. We validate our neural architecture with synthetic and real-world datasets with noise that mimics the challenges of IoT communications. The proposed neural architecture outperforms state-of-the-art work in both computation time and model complexity.
Starting Page	1468
Ending Page	1474
Page Count	7
ISSN	1751956X
Volume Number	13
e-ISSN	17519578
Issue Number	Issue 10, Oct (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/13/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2019.0208
Journal	IET Intelligent Transport Systems
Publisher Date	2019-06-10
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Automated Vehicle Communication Challenge Computer Communication Deep Anticipation Extensive Intelligent System Individual Mobile Application Information Retrieval Technique Intelligent Transport System Internet of Things IoT Communication IoT Data Kalman Filter Knowledge Engineering Technique Learning in AI Lightweight Intelligent Mobile Sensing Measurement Noise Mission-critical Services Mobile Computing Mobile Sensing Perception Mobile-sensing Perception System Neural Architecture Neural Computing Technique Neural Nets On-board Sensor Perception System Packet Delay Variation Pervasive Computing Quality of Service Recurrent Neural Nets Recurrent Neural Network Remotely Operated Vehicle Statistics Things Technique Ubiquitous Unmanned Vehicle
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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