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: 30 November 2024 | Viewed by 4241
Special Issue Editors
Interests: object detection; sensor fusion; sensor calibration; scene understanding
Interests: object detection; sensor fusion; sensor calibration; scene understanding
Interests: sensor fusion; collision avoidance; path planning; decision-making
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
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Keywords
- LiDAR
- intelligent transportation systems (ITSs)
- collision avoidance
- object detection
- road mapping
- traffic management
- automated driving
- road safety
- transport efficiency
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