Sensing Technologies for Autonomous Driving and Intelligent Transportation Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Vehicular Sensing".
Deadline for manuscript submissions: 25 February 2026 | Viewed by 16
Special Issue Editors
Interests: computer vision; autonomous driving; deep learning; object tracking
Interests: computer vision; autonomous driving; deep learning; object tracking
Interests: signal processing; machine learning; artificial intelligence; data fusion; autonomous vehicles; localization and object tracking; intelligent transportation systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue focuses on state-of-the-art sensing technologies driving progress in autonomous vehicles and intelligent transportation systems (ITSs). Autonomous driving relies heavily on advanced onboard sensors such as cameras, LiDAR, radar, and ultrasonic devices to perceive the environment, detect obstacles, predict behaviors, and make real-time driving decisions. These sensing systems provide the foundation for safe, efficient, and reliable self-driving capabilities.
In parallel, ITS utilizes sensors embedded in transportation infrastructure—including traffic signals, roadways, and connected devices—to address traffic-related challenges like congestion, accidents, and emissions. By collecting and analyzing real-time data, ITS technologies enable dynamic traffic management, incident response, and optimized routing.
Another key focus of this Special Issue is the collaboration between autonomous vehicles and transportation infrastructure through cooperative driving automation (CDA). Using vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication, vehicles and systems can share data, extend situational awareness, and coordinate maneuvers. This cooperative approach enhances safety, improves traffic flow, and supports the transition toward fully connected and automated mobility ecosystems.
The articles in this issue explore novel sensing methods, data fusion techniques, and communication frameworks essential to enabling seamless integration between vehicles and smart infrastructure for the future of intelligent, autonomous transportation.
Dr. Yizhou Wang
Dr. Hung-Min Hsu
Prof. Dr. Ikhlas Abdel-Qader
Guest Editors
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
- autonomous vehicle
- sensor fusion
- 3D object detection and tracking
- prediction and planning
- intelligent transportation systems
- cooperative driving automation
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