Cutting-Edge Sensor and Fusion Approaches for Robust and Reliable Autonomous Driving

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

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