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Efficient Intelligence with Applications in Embedded Sensing
Yong Liu (editor) and Xingxing Zuo (editor)
2023
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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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Keywords
- Autonomous driving
- blob detection
- blur and dirt
- complex background
- Computer vision
- computer vision and its practical applications
- deep learning
- degradation prediction
- ENet
- EOR-Brenner
- fabric detection
- feature extraction
- high-speed railway
- History of engineering & technology
- hull dynamics
- hybrid method
- ICP
- IMU
- intelligent systems and control theory
- loop closure
- motion distortion
- multi-sensor fusion
- n/a
- Numerical Optimization
- object detection
- object tracking and localization
- odometer
- OpenCV
- place recognition
- point cloud segmentation
- prognostics
- proton-exchange-membrane fuel cell
- remaining useful life
- robotics
- sensor fusion
- simultaneous localization and mapping (SLAM)
- SLAM
- state identification
- Swin transformer
- Technology, engineering, agriculture
- Technology: general issues
- temporal verification
- traction machine
- trajectory generation
- under-actuated constraint
- unstructured objects
- USV-UAV cooperation
- vibration signal
- YOLO
- YOLOv5
Links
DOI: 10.3390/books978-3-0365-7987-0Editions