Efficient Intelligence with Applications in Embedded Sensing

doi:10.3390/books978-3-0365-7987-0

Download Url(s)

https://mdpi.com/books/pdfview/book/7591

Contributor(s)

Liu, Yong (editor)

Zuo, Xingxing (editor)

Language

English

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Abstract

This reprint delves into the realm of efficient intelligence, encompassing fundamental and applied research. It explores the applications of embedded sensing in a variety of embedded devices, including industrial robots, unmanned vehicles, elevator traction machines, fuel cells, and more. Special attention is given to collaborative autonomous navigation, simultaneous localization and mapping (SLAM), target object tracking, LiDAR point cloud analysis, prognostic methods for fuel cells, fabric defect detection in manufacturing, elevator traction machine recognition, object detection, vision-based autonomous forklifts, among others.

URI

https://directory.doabooks.org/handle/20.500.12854/112476

Keywords

motion distortion; IMU; sensor fusion; odometer; ICP; high-speed railway; object detection; blob detection; EOR-Brenner; blur and dirt; complex background; computer vision and its practical applications; robotics; deep learning; intelligent systems and control theory; place recognition; loop closure; simultaneous localization and mapping (SLAM); unstructured objects; point cloud segmentation; temporal verification; autonomous driving; OpenCV; ENet; YOLO; vibration signal; traction machine; feature extraction; state identification; computer vision; fabric detection; Swin Transformer; YOLOv5; prognostics; proton-exchange-membrane fuel cell; hybrid method; degradation prediction; remaining useful life; SLAM; multi-sensor fusion; object tracking and localization; USV-UAV cooperation; trajectory generation; under-actuated constraint; numerical optimization; hull dynamics; n/a