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Smart Environments: Current Trends and Future Directions

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: closed (28 May 2023) | Viewed by 3172

Special Issue Editor


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Guest Editor
Graduate school of Information Science, Nara Institute of Science and Technology, Ikoma 6300192, Japan
Interests: distributed systems; inter-vehicle communication; mobile computing; multimedia communication; parallel algorithms
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

A smart environment is an initiative that aims to realize efficient, human, and environmentally friendly, and sustainable social systems in various fields such as transportation systems, communication infrastructure, SDGs, and fintech, by utilizing advanced technologies such as IT and environmental technologies to achieve comfortable and intelligent urban living. The proliferation of smart devices has created new application areas such as the Internet of Things, industrial control and monitoring systems, and blockchain technology, which can be used to realize a sustainable society. Smart environments include interoperable objects, organizations, and arrange the exchange of information and value to support individual urban living for people at all stages of life.

The purpose of this Special Issue is to publish original, important, and visionary papers describing scientific methods and technologies that improve the efficiency, productivity, quality, and reliability of smart environments. In this Special Issue, we want to focus on understanding what needs to be done to make efficient, human, and environmentally friendly, and sustainable intelligent social systems a reality. We strongly encourage the contribution of scientific results from experts from universities and companies around the world.

Dr. Naoki Shibata
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • smart cities
  • smart environments
  • smart economy
  • smart government
  • smart mobility
  • intelligent transportation systems and autonomous vehicles
  • blockchain-based technologies and cryptocurrencies
  • peer-to-peer networks
  • cloud and edge computing
  • mobile networks and wireless sensor networks
  • protocols and architectures
  • distributed and parallel processing

Published Papers (1 paper)

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Research

15 pages, 4367 KiB  
Article
Experimental Study Regarding Long Range LiDAR Capabilities in Sensing Safety Distance for Vehicle Application
by Gabriel Popa, Marius-Alin Gheți, Emil Tudor, Ionuț Vasile and Ion-Cătălin Sburlan
Sensors 2022, 22(15), 5731; https://doi.org/10.3390/s22155731 - 31 Jul 2022
Cited by 1 | Viewed by 2682
Abstract
The safety of vehicles is one of the major goals of driving automation. The safety distance is longer for rail vehicles such as trams because of the adherence limitations of the wheel-to-rail system. The major issues of fixed frontal sensing are fake target [...] Read more.
The safety of vehicles is one of the major goals of driving automation. The safety distance is longer for rail vehicles such as trams because of the adherence limitations of the wheel-to-rail system. The major issues of fixed frontal sensing are fake target detection, blind spots related to rail slopes, curves, and random changes in the target’s illumination or reflectivity. In this experimental study, distance measurements were performed using a scaled tram model equipped with a LiDAR sensor with a narrow field of view, under different conditions of illumination, size, and reflectivity of the target objects, and using different track configurations, to evaluate the effectiveness of such sensors in collision-avoidance systems for rail applications. The experimental findings are underlining the sensor’s sensitivity to fake targets, objects in the sensor’s blind spots, and special optical interferences, which are important for evaluating long-range LiDAR capabilities in sensing safety distance for vehicles. The conclusions can help developers to produce a dedicated colliding prevention system for trams and to identify the zones with high risk in the track where additional protection methods should be used. The LiDAR sensor must be used in conjunction with additional sensors to perform all the security tasks of an anti-colliding system for the tram. Full article
(This article belongs to the Special Issue Smart Environments: Current Trends and Future Directions)
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