Application of neural networks in object recognition tasks for ADAS systems

Ziyatdinov, R R; Biktimirov, R.A.

doi:10.1088/1757-899x/570/1/012107

Cited by 3 publications

(2 citation statements)

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“…In each step, the maximum value of all values in the selected area in the window is used as the output of this step, and finally, all the outputs are collected, as the result of max pooling. The average pooling operation uses the average of all values in the window as the pooling result at each step [19].…”

Section: Convolutional Neural Network and Itsmentioning

confidence: 99%

Target Recognition Technology of Multimedia Platform Based on a Convolutional Neural Network

Liu

Zhang²

2022

Advances in Multimedia

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With the rapid development of the Internet, network media, as a new form of information dissemination, has penetrated into people’s daily life. In recent years, with the rapid transformation of Chinese social structure and the rise of self-media platforms, various social contradictions have been highlighted in the form of online public opinion. Especially on online multimedia platforms, the spread of online public opinion is more rapid, which can easily lead to social hotspots. In order to effectively supervise the public opinion information on the Internet, it is necessary to identify the target of the information on the multimedia platform and effectively screen the information, so as to control the network public opinion in the development stage. Aiming at the above problems, we propose a multitarget retrieval method based on a convolutional neural network, which uses multitarget detection algorithm to locate multitarget regions and extract regional features and uses cosine distance as a similarity measure for multitarget recognition. In view of the slow feature extraction speed of VGG model, a lightweight mobile network model is proposed to replace the original VGG model on the mobile phone to reduce the retrieval time and realize the recognition of specific targets on the multimedia platform, and it is applied to the verification of image recognition on the multimedia platform. The results show that the algorithm proposed in this paper has great advantages in multitarget recognition tasks.

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Section: Convolutional Neural Network and Itsmentioning

confidence: 99%

Target Recognition Technology of Multimedia Platform Based on a Convolutional Neural Network

Liu

Zhang²

2022

Advances in Multimedia

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“…However, to solve such problems, it is necessary to have a computer model that, with the required degree of reliability, would reflect the processes for the description of which it was created. To do this, it is necessary to perform the identification [5] of such a model -to check the adequacy of the implemented processes, and, if necessary, to adjust it.…”

Section: The Relevancementioning

confidence: 99%

Identification of the Model of the Dynamic System of a Milling Machine Based on the Study of Vibroacoustic Characteristics

Khusainov

Safin

2021

MATEC Web Conf.

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In this paper, the authors propose a method for ensuring the reliability of the computational model intended for the study of dynamic processes in technological cutting systems. The advantage of using 3D models in CAD/CAM/CAE systems for solving such problems is shown. The method of conducting an experimental study to identify the calculated model by natural frequencies is justified. The method is proposed for adjusting the 3D model in order to ensure that the dynamic pattern occurring during cutting corresponds to experimental processes. The authors give a concrete example of solving the problem of identifying the computational model of the dynamic system of a milling machine. An example of solving the applied problem of optimizing cutting modes in terms of vibration resistance parameters using the identified computational model is also given.

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