Sensor Technologies for Intelligent Transportation Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 78
Special Issue Editors
Interests: visual-inertial navigation system; visual-aided GNSS positioning; sensor fusion; autonomous driving
Special Issue Information
Dear Colleagues,
Sensor technologies are becoming increasingly pivotal in the evolution of Intelligent Transportation Systems (ITSs), which are at the forefront of the smart mobility revolution. As we advance into an era in which transportation is not just about mobility but also about connectivity and real-time data exchange, sensors act as the critical nerve endings of ITSs, providing the essential data required for intelligent decision making. The integration of sophisticated sensor networks is vital for enhancing traffic management, improving road safety, reducing environmental impacts, and facilitating autonomous vehicle technologies. This Special Issue is dedicated to showcasing cutting-edge research and developments in sensor technologies that can be integrated into ITSs to address these challenges. Contributions may include studies on the use of various types of sensors such as LiDAR, radar, ultrasonic, camera, and thermal sensors, as well as the role of the Internet of Things (IoT) in enhancing sensor capabilities within ITS. Through this collection of high-quality research articles, we hope to foster the development of smarter, safer, and more efficient transportation systems for the future.
Topics of interests include, but are not limited to, the following:
- Multi-sensor fusion for intelligent transportation system localization, including GNSS, IMU, LiDAR, camera, and high-definition map.
- The integration of sensor data with vehicular and infrastructural systems.
- Sensor-based predictive maintenance for transportation infrastructure
- The application of machine learning and artificial intelligence in processing sensor data
- The reliability and accuracy of sensor data study
Dr. Xiwei Bai
Dr. Yiran Luo
Guest Editors
Manuscript Submission Information
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Keywords
- multi-sensor fusion
- autonomous vehicle positioning
- AI
- road safety
- sensor data prosessing
