Intelligent Transportation Systems: Advances in Object Detection and Traffic Management
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 March 2025 | Viewed by 233
Special Issue Editors
Interests: Advanced Driver Assistance Systems (ADAS); scene understanding; sensor processing (Radar, LiDAR, camera, thermal); machine learning; digital image and signal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid development of machine learning, deep learning, computer vision, and advanced sensor technologies has led to significant advancements in intelligent transportation systems (ITSs). These innovations have transformed traffic management and object detection, contributing to safer and more efficient transportation networks. The application of AI-driven techniques, including machine learning and deep learning, is at the forefront of this transformation, leading to substantial improvements in areas such as smart cities, autonomous vehicles, and traffic monitoring systems. This Special Issue aims to highlight the latest advancements and innovative solutions that address urban mobility and traffic safety challenges by integrating these cutting-edge technologies.
Topics to be covered include, but are not limited to, the following, aimed at enhancing intelligent transportation systems:·
- Advanced driver assistance systems (ADASs), including automony modes such as collision avoidance, adaptive cruise control, lateral control, lane following, intersection navigation, auto parking, etc.;·
- Deep learning applications in ITSs;·
- Machine learning for traffic prediction and management;·
- Efficient object detection models;·
- Robust object and obstacle detection;·
- Explaninable AI in automy applications;·
- Sensor technologies and processing for ITSs;·
- Digital signal processing in transportation systems;·
- Digital image processing for traffic monitoring;·
- Real-time traffic management solutions;·
- Autonomous vehicle technologies;·
- Traffic safety and security techniques;·
- Computationally efficient algorithms for ITSs;·
- Computer vision.
We look forward to receiving your contributions.
Prof. Dr. John E. Ball
Dr. Simegnew Alaba
Guest Editors
Manuscript Submission Information
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Keywords
- autonomous vehicles
- deep learning
- efficient transportation system
- intelligent transportation systems
- object detection
- smart cities
- sensors
- fusion
- traffic safety
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