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Efficient Intelligence with Applications in Embedded Sensing

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 at...

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Format: Online
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
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
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Online Access:ONIX_20230808_9783036579863_44
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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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