Optimal video communication strategy for intelligent video analysis in unmanned aerial vehicle applications

Xie, Yongqiang; Li, Zhongbo; Qi, Jin; Zhang, Kai; Zhang, Bixuan; Feng, Qianjin

doi:10.1016/j.cja.2020.06.009

Cited by 9 publications

(2 citation statements)

References 10 publications

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“…The task of data preparation of the mining area is to collect satellite photos and topographic data of the working mining area, preliminarily plan the route, and check the UAV equipment in advance. Field aerial photography data acquisition mainly includes site survey, route design, ground control point layout, and UAV aerial photography [13]. Indoor aerial photography data processing and analysis is to use the photos obtained by UAV aerial photography to reconstruct the rock mass in three dimensions; generate three-dimensional point cloud, DOM, and DSM; and digitally interpret the rock mass to obtain the occurrence information of rock mass and establish the spatial data file of rock mass.…”

Section: Uav Photographic Observation System and Work Flowmentioning

confidence: 99%

Slope Topography Monitoring Based on UAV Tilt Photography Technology and Sensor Technology

Cao

Dai

et al. 2022

Journal of Sensors

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In order to solve the problems of high risk and low efficiency of the traditional rock mass structure logging method of open-pit mine slope, this paper proposes a method to improve the geological logging of traditional open-pit mine slope by using UAV tilt photography technology. Taking the slope of an open-pit quarry as an example, this method expounds the application method and work flow of UAV photography technology in geological logging. The experimental results show that the maximum and minimum absolute errors in the X direction of UAV test are 5.1 cm and 1.1 cm, respectively; MAE value is 2.90 cm; and RMSE value is 3.17 cm. The maximum and minimum absolute errors in Y direction are 3.3 cm and 0.9CM, respectively; MAE value is 2.36 cm; and RMSE value is 2.498 cm. Vertical error refers to the error in elevation. The maximum and minimum absolute errors in Z direction are 9.6 cm and 5.7 cm, respectively; MAE value is 7.44 cm; and RMSE value is 7.54 cm. Conclusion. The reliability of this technology is verified by comparing the occurrence measured by compass and that calculated by point cloud. On this basis, the dominant occurrence of structural plane is divided, which provides basic data support for the analysis of mine slope stability.

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Section: Uav Photographic Observation System and Work Flowmentioning

confidence: 99%

Slope Topography Monitoring Based on UAV Tilt Photography Technology and Sensor Technology

Cao

Dai

et al. 2022

Journal of Sensors

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“…Based on the index system, build an RLC system based on TD algorithm [18,19]. Before the simulation of the algorithm, the number of execution modules in the RLC system should be determined.…”

Section: Financial Data Analysis and Early Warning Simulationmentioning

confidence: 99%

Financial Accounting Information Data Analysis System Based on Internet of Things

2022

Mathematical Problems in Engineering

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In order to meet the intelligent demand of modern financial data analysis, this paper proposes a financial accounting information data analysis system based on the Internet of things. Based on the central reinforcement learning architecture, the model uses multiple execution modules to enhance the computing and generalization ability of the single-agent reinforcement learning algorithm. In the selection of reinforcement learning algorithm, the instantaneous time difference algorithm is introduced. The algorithm can synchronize the experience of the previous iteration state in the learning process and does not depend on the final prediction value, which greatly saves the storage cost. In the establishment of the financial data analysis index system, the paper comprehensively considers the enterprise’s operation, development, debt repayment, and other capabilities, ensuring the integrity and rationality of the index system. In order to evaluate the performance of the algorithm, this paper takes the real financial data as the sample and uses BP neural network to conduct a comparative experiment. The experimental results show that the recognition accuracy of the model is better than that of the BP neural network in each experimental scenario, and the recognition accuracy of Experiment 3 is improved by 4.6%. Conclusion. The performance of the distributed reinforcement learning algorithm is better than that of the common back-propagation neural network in the real data set scenario.

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Multi-mode filter target tracking method for mobile robot using multi-agent reinforcement learning

Li,

Ren,

2024

Engineering Applications of Artificial Intelligence

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Optimal video communication strategy for intelligent video analysis in unmanned aerial vehicle applications

Cited by 9 publications

References 10 publications

Slope Topography Monitoring Based on UAV Tilt Photography Technology and Sensor Technology

Slope Topography Monitoring Based on UAV Tilt Photography Technology and Sensor Technology

Financial Accounting Information Data Analysis System Based on Internet of Things

Multi-mode filter target tracking method for mobile robot using multi-agent reinforcement learning

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