With the development of power Internet of things, as an important sensing device at the end of the perception layer of the power Internet of things, the technical function of the smart meter is given more requirements...
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ISBN:
(纸本)9781450396806
With the development of power Internet of things, as an important sensing device at the end of the perception layer of the power Internet of things, the technical function of the smart meter is given more requirements; Aiming at the problems of electric shock, fire and other problems that endanger the safety of power grid and personal safety caused by the potential safety hazards of customer-side electricity consumption, improve the safety management ability of customer-side electricity consumption, and support the realization of considerable and controllable safety of customer-side electricity consumption, this paper proposes an electricity safety perception module that meets the technical specifications of the extended module of intelligent internet of things energy meter.
Autonomous vehicles (AVs) depend on perception, localization, and mapping to interpret their surroundings and navigate safely. This paper reviews existing methodologies and best practices in these domains, focusing on...
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Autonomous vehicles (AVs) depend on perception, localization, and mapping to interpret their surroundings and navigate safely. This paper reviews existing methodologies and best practices in these domains, focusing on object detection, object tracking, localization techniques, and environmental mapping strategies. In the perception module, we analyze state-of-the-art object detection frameworks, such as You Only Look Once version 8 (YOLOv8), and object tracking algorithms like ByteTrack and BoT-SORT (Boosted SORT). We assess their real-time performance, robustness to occlusions, and suitability for complex urban environments. We examine different approaches for localization, including Light Detection and Ranging (LiDAR)-based localization, camera-based localization, and sensor fusion techniques. These methods enhance positional accuracy, particularly in scenarios where Global Positioning System (GPS) signals are unreliable or unavailable. The mapping section explores Simultaneous Localization and Mapping (SLAM) techniques and high-definition (HD) maps, discussing their role in creating detailed, real-time environmental representations that enable autonomous navigation. Additionally, we present insights from our testing, evaluating the effectiveness of different perception, localization, and mapping methods in real-world conditions. By summarizing key advancements, challenges, and practical considerations, this paper provides a reference for researchers and developers working on autonomous vehicle perception, localization, and mapping.
In order to solve the above problem, a method of measuring the back-up path signal decline based on wireless network is designed to solve the problem that the existing signal measurement method can not express the spe...
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ISBN:
(纸本)9783030364052;9783030364045
In order to solve the above problem, a method of measuring the back-up path signal decline based on wireless network is designed to solve the problem that the existing signal measurement method can not express the specific decline path of the signal. Through the two steps of signal perception module design and measurement signal transmission mode, the wireless network environment of backup path signal measurement is completed. On this basis, three steps are carried out through the determination of the baseband signal fading frequency, the fading measurement channel estimation and the signal modulation measurement term to complete the construction of the new recession measurement method. The experimental results show that the fading path of the terminal signal is clearly expressed when the backup path signal fading measurement method based on wireless network is applied.
For making crop development more autonomous and interactive, multi-agent was introduced into growth model of virtual crop. A crop organ was regarded as an agent, the agent was divided into perception module, informati...
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ISBN:
(纸本)9781424472352
For making crop development more autonomous and interactive, multi-agent was introduced into growth model of virtual crop. A crop organ was regarded as an agent, the agent was divided into perception module, information processing module and action module to realize single agent organ's growth. Model of crop development based on multi-agent was built throught cooperation of agents. Effect of environment for agents was made as crop physiological model. Such as maize, multi-agent combining crop development model and physiological model realized dynamic growth of maize. Experimental results show this simulation can embody autonomy of crop development and realize real-time interaction with light computation load, improves realistic simulation of crop development.
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