Cutting-Edge Sensor and Fusion Approaches for Robust and Reliable Autonomous Driving
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Vehicular Sensing".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 78
Special Issue Editors
Interests: systems and tools for CAD and VLSI; formal validation methods for hardware and software systems; embedded systems; autonomous driving; sensor networks; developing parallel algorithms and optimization techniques to achieve practical solutions with limited resources
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Interests: security issues in the world of autonomous vehicles; information security awareness of students
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Special Issue Information
Dear Colleagues,
Autonomous driving technology relies heavily on the accurate perception of a vehicle’s surroundings, which is achieved through an integrated use of diverse sensors and advanced sensor fusion algorithms. This Special Issue invites the submission of original research articles, reviews, and technical notes focusing on the latest advancements in sensor technology and multi-sensor fusion techniques tailored for autonomous driving applications. Topics of interest include sensor calibration, data synchronization, environmental perception, obstacle detection, and decision-making algorithms that leverage data from cameras, LiDAR, radar, and other sensor modalities. Innovative sensor fusion frameworks (spanning data-level, feature-level, and decision-level fusion) that improve robustness and safety under varying environmental conditions are a key theme. Contributions addressing challenges such as sensor noise, computational complexity, real-time processing, and deep learning-based sensor fusion are highly encouraged. This issue aims to provide a comprehensive overview of state-of-the-art sensor systems and fusion algorithms, highlight technological breakthroughs, and foster interdisciplinary dialogue to accelerate the development of safer and more reliable autonomous vehicles. Researchers, engineers, and practitioners working at the intersection of sensor technology and autonomous mobility will find this issue valuable for advancing the development of intelligent transportation systems.
Dr. Stefano Quer
Dr. Gábor Kiss
Guest Editors
Manuscript Submission Information
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Keywords
- autonomous driving
- sensor fusion
- multi-sensor integration
- environmental perception
- data-level fusion
- intelligent transportation systems
- real-time processing
- sensor networks
- perception algorithms
- safety in autonomous driving
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