Efficient Intelligence with Applications in Embedded Sensing

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

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Efficient Intelligence with Applications in Embedded Sensing

Edited by

July 2023

192 pages

ISBN978-3-0365-7986-3 (Hardback)
ISBN978-3-0365-7987-0 (PDF)

https://doi.org/10.3390/books978-3-0365-7987-0

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This book is a reprint of the Special Issue Efficient Intelligence with Applications in Embedded Sensing that was published in

Chemistry & Materials Science

Engineering

Environmental & Earth Sciences

Summary

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.

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Hardback

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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; object detection; OpenCV; ENet; YOLO; deep learning; vibration signal; traction machine; feature extraction; state identification; deep learning; 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