Advances in Intelligent Transportation Systems Based on Sensor Fusion: 2nd Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Vehicular Sensing".
Deadline for manuscript submissions: 15 November 2025 | Viewed by 1044
Special Issue Editors
Interests: computer vision; machine learning; sensor fusion; intelligent transportation systems; autonomous vehicles
Special Issues, Collections and Topics in MDPI journals
Interests: multi-modal sensor fusion; natural language processing
Special Issues, Collections and Topics in MDPI journals
Interests: intersection research of computer vision; artificial intelligence in transportation infrastructure; image processing; non-destructive testing
Special Issues, Collections and Topics in MDPI journals
Interests: internet of vehicles; big data; pervasive computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent research on sensor fusion has received significant attention as a component of intelligent transportation systems (ITSs). The modern ITS aims to improve the effectiveness, efficiency, reliability, and safety of road, rail (and other modes of) transport, traffic management, mobility, and increase transportation capacity to reduce commute time. Sensor fusion is a combination of techniques and knowledge from multiple sensing sources, e.g., image sensors, vision/camera-based sensors, acoustic sensors, physical sensors, sensing devices, etc., as mutual supplements to facilitate decision-making in ITSs. The heterogeneous sensor data from these multiple sources have provided comprehensive insights into constructing the next-generation ITS; however, it has also resulted in additional challenges.
This Special Issue is, therefore, devoted to recent advances on all perspectives of sensor fusion techniques for ITSs, in a type of state-of-the-art review, theoretical contributions, and practical industrial applications. The topics for this Special Issue should relate to the fusion of multiple sensors for ITSs and other modes of transport and include, but are not limited to, the following:
- Autonomous vehicles;
- Driving assistance;
- Surveillance infrastructure;
- Traffic flow characteristics;
- Vehicular communication (vehicle-to-everything);
- Electric vehicles;
- Vehicle robotics and control systems;
- Transportation;
- Multi-modal signal processing and analysis.
Dr. Xinxiang Zhang
Dr. Ye Wang
Dr. Feng Guo
Prof. Dr. Kai Liu
Guest Editors
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Keywords
- autonomous vehicles
- driving assistance
- surveillance infrastructure
- traffic flow characteristics
- vehicular communication (vehicle-to-everything)
- electric vehicles
- vehicle robotics and control systems
- transportation
- multi-modal signal processing and analysis
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