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Application Research and Improvement of Weighted Information Fusion Algorithm and Kalman Filtering Fusion Algorithm in Multi-sensor Data Fusion Technology
In order to improve the accuracy and reliability of the collected data, the weighted information fusion algorithm and the Kalman filtering fusion...
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Learning inverse kinematics using neural computational primitives on neuromorphic hardware
Current low-latency neuromorphic processing systems hold great potential for develo** autonomous artificial agents. However, the variable nature...
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Center of Gravity Position Estimation of Counterbalanced Forklift Truck Based on Multi Model Data Fusion
The center of gravity of a forklift truck, a crucial parameter for vehicle stability, changes with different loads during operation. We propose an...
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Artificial Intelligent IoT-Based Cognitive Hardware for Agricultural Precision Analysis
Traditionally, farmers have used human resources for productivity, which could be more efficient and manageable. Farmers have been trying to improve...
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Multifeature Fusion for Facial Expression Recognition
This paper introduces a novel approach for FER utilizing multifeature fusion based on supervised learning, leveraging the inherent strengths of LBP,...
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Precision landing comparison between smartphone video guidance sensor and IRLock by hardware-in-the-loop emulation
The Smartphone Video Guidance Sensor (SVGS) is an emerging technology developed by NASA Marshall Space Flight Center that uses a vision-based...
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Powder Bed Fusion
This chapter covers the different types of metal powder bed fusion processes, specifically expanding on electron beam powder bed fusion (EB-PBF) and...
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Smart Hardware Trojan Detection System
The IoT has become an indispensable part of human lives at work and home applications. Due to the need for an enormous number of IoT devices...
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Multi-stage cyber-physical fusion methods for supporting equipment’s digital twin applications
The cyber-physical data of equipment whole life cycle are interrelated and play an important role in decision-making for business activities....
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Energy Efficient Hardware Loop Based Optimization for CGRAs
Research interest and industry investment in edge computing solutions have increased dramatically in recent years. Consequent quest for balanced...
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Data Fusion Algorithm Based on Classification Adaptive Estimation Weighted Fusion in WSN
Special medical supplies such as blood and vaccines have strict temperature requirements in medical cold storage. In order to improve the stability...
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Keyframe recommendation based on feature intercross and fusion
Keyframe extraction can effectively help users quickly understand video content. Generally, keyframes should be representative of the video content...
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Design of Intelligent Window Dwelling System Based on Multi Sensor Fusion
To address the issue of traditional windows not being able to respond to environmental changes in a timely manner, an intelligent window living...
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Design and Develop Hardware Aware DNN for Faster Inference
On many small-scale devices, advanced learning models have become standard. The necessity of the hour is to reduce the amount of time required for...
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Fusion method for digital twin model of a production line
Digital twins have attracted more and more attention in the past few years. To put digital twins into practice, a large number of modeling approaches...
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Hardware Accelerators for Autonomous Vehicles
An autonomous vehicle (AV) is a massive system composed of sensors, electrical/electronic (E/E) hardware devices, and software technologies to...
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Longitudinal tear detection method for conveyor belt based on multi-mode fusion
The longitudinal tear of conveyor belts is the most common accident occurring at the workplace. Given the limitations on accuracy and stability of...
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Hardware Testbed Design and Performance Evaluation for ISAC Enabled CAVs
To overcome the bottleneck of unreliable environment sensing caused by unpredictable weather and obstacle blockage, the cooperation among connected...
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Deep Learning-Based Multi-Sensor Fusion for Process Monitoring: Application to Fused Deposition Modeling
In the realm of additive manufacturing, process monitoring is typically realized through multi-sensor data fusion (MSDF) employing either classical...
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DFFNet: a lightweight approach for efficient feature-optimized fusion in steel strip surface defect detection
Steel surface defect detection is crucial in manufacturing, but achieving high accuracy and real-time performance with limited computing resources is...
