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Sensors and Systems for Automotive and Road Safety —Third Edition

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

Deadline for manuscript submissions: 31 December 2026 | Viewed by 864

Editors


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Guest Editor
Department of Automotive Engineering and Transport, Faculty of Mechatronics and Mechanical Engineering, Kielce University of Technology, 25-314 Kielce, Poland
Interests: transportation; technical diagnostics; vehicle safety; accidents; biomechanics of collisions mechanics of motion
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Faculty of Operation and Economics of Transport and Communications, University of Zilina, Avenue Univerzitná 8215/1, 010 26 Žilina, Slovakia
Interests: goods distribution; public transport; road safety; intelligent transport infrastructures; automotive engineering; biomechanics
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Transport and Logistics, Institute of Technology and Business in České Budějovice, Faculty of Technology, Okružní 517/10, 370 01 České Budějovice, Czech Republic
Interests: transport and logistics; locistics centers; city logistics; operations research; handling equipment optimization; automotive; Intermodal transport; transport planning; transport enginnering; road and railway transport optimization; vehicle routing problem; multi-criteria decision making
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue focuses on vehicle safety research, with an emphasis on the design, construction and equipment of vehicles with the goal of minimising the occurrence and consequences of road crashes. New developments in vehicles are intended to reduce the number of accidents caused by human error and prevent fatalities, as well as reduce fuel consumption and lower exhaust emissions. Advanced safety systems used for this purpose require sensors both inside and outside vehicles to detect and identify objects, determine their movement parameters, monitor the behaviour of drivers and passengers and predict future behaviour in order to avoid potential collisions.

Transport and road infrastructure safety is closely related to vehicle safety. Intelligent transport infrastructure systems comprise various technologies, including telecommunications, information technology and automatic systems using complex measurement systems and sophisticated analysis methods. These support the transport system, increasing its efficiency and improving the safety of road users.

This Special Issue intends to bring together original theoretical and empirical articles addressing safety issues in vehicles and intelligent transport infrastructure systems. Topics relevant to this Special Issue include the following: the use of different types of sensors in research to improve vehicle safety; technology, methods and sensors used in crash tests; the application of sensors to detect and identify obstacles and oncoming objects, determine their movement parameters and position and predict their future behaviour in order to avoid potential collisions; measuring methods and sensors used in vehicle traction tests and vehicle diagnostics; the use of sensors to assess the performance indicators of reciprocating internal combustion engines taking into account their harmful effects on the environment; sensors for monitoring the behaviour and psycho-physical state of drivers and passengers (e.g., visual sensors, motion sensors, breathalysers); assessment algorithms; systems and sensors for intelligent transport infrastructures to monitor road users, to perform predictive analytics and to improve traffic flow and road safety; and cargo securing systems in road transport.

Prof. Dr. Marek Jaśkiewicz
Prof. Dr. Milos Poliak
Dr. Ondrej Stopka
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

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

  • accident
  • accident analysis
  • accident prevention
  • accident reconstruction
  • artificial intelligence in automate vehicles
  • autonomous and connected vehicles
  • autonomous vehicles
  • big data analysis in vehicular systems
  • networks connected vehicles in urban roads
  • crash test
  • crashworthiness
  • driver behaviour monitoring
  • driving simulators
  • dummy emerging iot applications in vehicular social networks (VSNS)
  • ault-tolerant systems
  • ground vehicle safety
  • intelligent transportation systems
  • intelligent vehicles
  • internet of vehicles
  • lighting of vehicles and roads
  • road safety
  • infrastructure safety of electric/hybrid cars
  • sensors for fault detection of vehicles
  • sensors for vehicle movement
  • smart cities
  • smart mobility and sustainable transport services
  • traffic control systems
  • traffic monitoring
  • traffic organisation
  • traffic safety
  • vehicle active safety
  • vehicle communications: V2X, V2V, and V2I
  • vehicle detection
  • vehicle dynamics
  • vehicle localization system
  • vehicle passive safety
  • vehicle privacy and trust
  • vehicle stability and handling vehicle testing
  • vehicle to everything
  • vehicular ad hoc networks (VANETS)
  • vehicular networks
  • vehicular social networks (VSNS)
  • visibility (recognizability) of pedestrians and obstacles
  • wireless in-car networks

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Published Papers (1 paper)

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Research

16 pages, 64862 KB  
Article
Stability Prediction for UGV Based on Drone-Borne LiDAR Terrain Mapping
by Dávid Körmöczi, Gábor Bércesi, György Pillinger, Branislav Šarkan and Péter Kiss
Sensors 2026, 26(14), 4604; https://doi.org/10.3390/s26144604 - 20 Jul 2026
Viewed by 341
Abstract
The stability of vehicles is one of the most important factors of safety. When assessing the conditions for the stability of the vehicle, on-road and off-road vehicles differ in many aspects, and because of this, specific methods are needed to describe the stability [...] Read more.
The stability of vehicles is one of the most important factors of safety. When assessing the conditions for the stability of the vehicle, on-road and off-road vehicles differ in many aspects, and because of this, specific methods are needed to describe the stability conditions for terrain vehicles. In this paper, the aspects of off-road vehicle stability are assessed, and terrain vehicle-specific stability modeling methods are shown. After that, LiDAR-based terrain mapping technology and the measurement and remote sensing possibilities for the variables affecting stability, both from the vehicle and terrain, are introduced. Field measurements conducted with a small-scale remote-controlled vehicle are presented, the measured and model-predicted stability values are compared, and it is concluded that the theoretical model does describe the actual values accurately enough that the differences can be mitigated by introducing a safety factor. At the end, some further possibilities are proposed for the improvement of the stability modeling method. Full article
(This article belongs to the Special Issue Sensors and Systems for Automotive and Road Safety —Third Edition)
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