Computer Vision and Sensor Fusion for Autonomous Vehicles
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 740
Special Issue Editor
Special Issue Information
Dear Colleagues,
The rapid advancement of autonomous vehicle technology is transforming transportation. At the heart of this innovation are sophisticated systems of computer vision and sensor fusion, crucial for the robust and reliable operation of self-driving cars. This Special Issue of Sensors will explore the latest research and developments in these fields, providing a comprehensive overview of current methodologies, challenges, and future directions.
In this Special Issue, we will discuss the uses of vision-based sensor fusion methods in self-driving vehicles. Topics include but are not limited to the following:
- Semantic segmentation and scene understanding;
- Robustness of computer vision systems under varying environmental conditions;
- SLAM (simultaneous localization and mapping) methods;
- Machine learning and its application in autonomous driving systems;
- Optical flow and motion analysis;
- New advancements in vision sensors (cameras, radar, lidar, etc.) and their fusion;
- Real-world deployment and testing of vision-assisted autonomous driving vehicles;
- Case studies on the implementation of vision-based sensor fusion in commercial and research-focused autonomous vehicles.
Dr. Yousef Alipouri
Guest Editor
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Keywords
- computer vision
- sensor fusion
- self-driving
- SLAM
- optical flow
- motion detection and analysis
- scene understanding
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