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LiDAR Sensors Applied in Intelligent Transportation Systems
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LiDAR Sensors Applied in Intelligent Transportation Systems

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

Deadline for manuscript submissions: 31 May 2024 | Viewed by 1973

Special Issue Editors

Dr. Carlos Guindel

E-Mail Website
Guest Editor
Teoría de la Señal y Comunicaciones y Sistemas Telemáticos y Computación, Universidad Rey Juan Carlos, Camino del Molino 5, 28942 Fuenlabrada, Madrid, Spain
Interests: object detection; sensor fusion; sensor calibration; scene understanding
Dr. Jorge Beltran

E-Mail Website
Guest Editor
Teoría de la Señal y Comunicaciones y Sistemas Telemáticos y Computación, Universidad Rey Juan Carlos, Camino del Molino 5, 28942 Fuenlabrada, Madrid, Spain
Interests: object detection; sensor fusion; sensor calibration; scene understanding
Dr. Ángel Madridano

E-Mail Website
Guest Editor
Teoría de la Señal y Comunicaciones y Sistemas Telemáticos y Computación, Universidad Rey Juan Carlos, Camino del Molino 5, 28942 Fuenlabrada, Madrid, Spain
Interests: sensor fusion; collision avoidance; path planning; decision-making
Dr. Miguel Ángel De Miguel

E-Mail Website
Guest Editor
Teoría de la Señal y Comunicaciones y Sistemas Telemáticos y Computación, Universidad Rey Juan Carlos, Camino del Molino 5, 28942 Fuenlabrada, Madrid, Spain
Interests: localization; navigation; sensor fusion; path planning

Special Issue Information

Dear Colleagues,

LiDAR (light detection and ranging) is a remote sensing method that uses light in the form of a pulsed laser to measure ranges to the target. LiDAR sensors have become increasingly popular in recent years due to their ability to provide high-resolution, 3D data on the surrounding environment. This makes them ideal for a wide range of applications, including intelligent transportation systems (ITS).

ITS are advanced applications that use information and communication technologies to improve the safety, efficiency, and sustainability of transportation systems. This Special Issue focuses on ITS employing LiDAR sensors to retrieve data on traffic conditions, road infrastructure, and other objects in the environment. Potential topics include, but are not limited to, the following:

  • Sensor calibration;
  • Sensor fusion;
  • Object detection;
  • Collision avoidance;
  • Traffic monitoring and management;
  • Automated driving and platooning;
  • Road condition monitoring;
  • Vehicle localization and navigation;
  • Robustness to weather conditions.

Sensors provides an advanced forum for the science and technology of sensors and their applications. LiDAR is a type of sensor, and its applications in intelligent transportation systems are a rapidly growing area of research. This Special Issue will publish comprehensive reviews and regular research papers on the latest advances in LiDAR technology for ITS.

The papers in this Special Issue will be of interest to a wide range of readers, including researchers, engineers, and policymakers working in the field of intelligent transportation systems. This Special Issue will also be of interest to anyone interested in the future of transportation.

Dr. Carlos Guindel
Dr. Jorge Beltran
Dr. Ángel Madridano
Dr. Miguel Ángel De Miguel
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 100 words) can be sent to the Editorial Office for announcement on this website.

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-blind 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

  • LiDAR
  • intelligent transportation systems (ITSs)
  • collision avoidance
  • object detection
  • road mapping
  • traffic management
  • automated driving
  • road safety
  • transport efficiency

Published Papers (3 papers)

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Research

22 pages, 4197 KiB  
Article
LiMOX—A Point Cloud Lidar Model Toolbox Based on NVIDIA OptiX Ray Tracing Engine
by Relindis Rott, David J. Ritter, Stefan Ladstätter, Oliver Nikolić and Marcus E. Hennecke
Sensors 2024, 24(6), 1846; https://doi.org/10.3390/s24061846 - 13 Mar 2024
Viewed by 537
Abstract
Virtual testing and validation are building blocks in the development of autonomous systems, in particular autonomous driving. Perception sensor models gained more attention to cover the entire tool chain of the sense–plan–act cycle, in a realistic test setup. In the literature or state-of-the-art [...] Read more.
Virtual testing and validation are building blocks in the development of autonomous systems, in particular autonomous driving. Perception sensor models gained more attention to cover the entire tool chain of the sense–plan–act cycle, in a realistic test setup. In the literature or state-of-the-art software tools various kinds of lidar sensor models are available. We present a point cloud lidar sensor model, based on ray tracing, developed for a modular software architecture, which can be used stand-alone. The model is highly parametrizable and designed as a toolbox to simulate different kinds of lidar sensors. It is linked to an infrared material database to incorporate physical sensor effects introduced by the ray–surface interaction. The maximum detectable range depends on the material reflectivity, which can be covered with this approach. The angular dependence and maximum range for different Lambertian target materials are studied. Point clouds from a scene in an urban street environment are compared for different sensor parameters. Full article
(This article belongs to the Special Issue LiDAR Sensors Applied in Intelligent Transportation Systems)
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20 pages, 8232 KiB  
Article
Rapid Geometric Evaluation of Transportation Infrastructure Based on a Proposed Low-Cost Portable Mobile Laser Scanning System
by Haochen Wang and Dongming Feng
Sensors 2024, 24(2), 425; https://doi.org/10.3390/s24020425 - 10 Jan 2024
Viewed by 526
Abstract
Efficient geometric evaluation of roads and tunnels is crucial to traffic management, especially in post-disaster situations. This paper reports on a study of the geometric feature detection method based on multi-sensor mobile laser scanning (MLS) system data. A portable, low-cost system that can [...] Read more.
Efficient geometric evaluation of roads and tunnels is crucial to traffic management, especially in post-disaster situations. This paper reports on a study of the geometric feature detection method based on multi-sensor mobile laser scanning (MLS) system data. A portable, low-cost system that can be mounted on vehicles and utilizes integrated laser scanning devices was developed. Coordinate systems and timestamps from numerous devices were merged to create 3D point clouds of objects being measured. Feature points reflecting the geometric information of measuring objects were retrieved based on changes in the point cloud’s shape, which contributed to measuring the road width, vertical clearance, and tunnel cross section. Self-developed software was used to conduct the measuring procedure, and a real-time online visualized platform was designed to reconstruct 3D models of the measured objects, forming a 3D digital map carrying the obtained geometric information. Finally, a case study was carried out. The measurement results of several representative nodes are discussed here, verifying the robustness of the proposed system. In addition, the main sources of interference are also discussed. Full article
(This article belongs to the Special Issue LiDAR Sensors Applied in Intelligent Transportation Systems)
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28 pages, 9782 KiB  
Article
Leveraging Generative Design and Point Cloud Data to Improve Conformance to Passing Lane Layout
by Faeze Momeni Rad, Christoph Sydora and Karim El-Basyouny
Sensors 2024, 24(2), 318; https://doi.org/10.3390/s24020318 - 05 Jan 2024
Viewed by 558
Abstract
Inadequate highway design is a leading cause of traffic accidents, underscoring the importance of adhering to guidelines and regulations for highway design. These standards exist to safeguard road users by addressing crucial factors, like road geometry, signage, and lane markings. Thus, emphasis is [...] Read more.
Inadequate highway design is a leading cause of traffic accidents, underscoring the importance of adhering to guidelines and regulations for highway design. These standards exist to safeguard road users by addressing crucial factors, like road geometry, signage, and lane markings. Thus, emphasis is placed on computational methods that can optimize towards higher levels of safety, capacity, efficiency, and sustainability in highway designs. Building Information Modeling (BIM) enhances this process by creating a digital model with physical and operational attributes. In this study, a user-friendly, logic-based language is utilized to encode rules for designing highway passing lanes by which designs are automatically evaluated and generated in the BIM-kit software toolkit. This approach is applied to 16 real-world passing lanes in Alberta, showcasing its utility in transportation. The analysis reveals significant enhancements, with rule compliance increasing from 61.82% to 91.31% after employing generative design techniques. These findings underscore the significance of generative design in transportation, offering engineers an efficient tool to create innovative, compliant solutions for highway projects. Full article
(This article belongs to the Special Issue LiDAR Sensors Applied in Intelligent Transportation Systems)
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