Axle Detector

Axle detection research focuses on accurately locating axles in various vehicles and applications, primarily to improve vehicle control (e.g., autonomous articulated vehicles) and infrastructure monitoring (e.g., bridge weigh-in-motion systems). Current research employs diverse approaches, including convolutional neural networks (CNNs) processing raw sensor data (like acceleration measurements) and object detection algorithms (like YOLO and SSD) analyzing visual data. These advancements enable real-time axle detection with high accuracy, improving safety and efficiency in transportation and infrastructure management.