title: ÐÑÐµÐ½ÐºÐ° ÑÐ°ÑÑÑÐ¾ÑÐ½Ð¸Ñ Ð´Ð¾ Ð¾Ð±ÑÐµÐºÑÐ¾Ð² Ð¿Ð¾ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ñ Ñ Ð¼Ð¾Ð½Ð¾ÐºÑÐ»ÑÑÐ½Ð¾Ð¹ ÐºÐ°Ð¼ÐµÑÑ Ñ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸ÐµÐ¼ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Determination of distance using a monocular cameras by machine learning
Creators: name: ÐÐ²Ð°Ð½Ð¾Ð², ÐÐ¼Ð¸ÑÑÐ¸Ð¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: ÐÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
ÐÐ°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÐÐ°Ð·Ñ Ð´Ð°Ð½Ð½ÑÑ
Ð¼Ð¾Ð½Ð¾ÐºÑÐ»ÑÑÐ½Ð°Ñ ÐºÐ°Ð¼ÐµÑÐ°
ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ñ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ñ
Ð´Ð°ÑÑÐ¸Ðº ÑÐ°ÑÑÑÐ¾ÑÐ½Ð¸Ñ
ÑÑÐ½ÐºÑÐ¸Ñ Ð¿Ð¾ÑÐµÑÑ
monocular camera
image segmentation
distance sensor
loss function

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ÑÑÐ¸ Ð¸Ð·Ð¼ÐµÑÐµÐ½Ð¸Ñ ÑÐ°ÑÑÑÐ¾ÑÐ½Ð¸Ñ Ð´Ð¾ Ð¾Ð±ÑÐµÐºÑÐ° Ð² Ð¿ÑÐ¾ÑÑÑÐ°Ð½ÑÑÐ²Ðµ, Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÑ Ð´Ð°Ð½Ð½ÑÐµ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ñ Ð¾Ð±ÑÐµÐºÑÐ°, Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÐµ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð¼Ð¾Ð½Ð¾ÐºÑÐ»ÑÑÐ½Ð¾Ð¹ ÐºÐ°Ð¼ÐµÑÑ. ÐÐµÑÐµÐ´ Ð¾ÑÐ½Ð¾Ð²Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐ¾Ð¹ Ð±ÑÐ» Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð¾Ð±Ð·Ð¾Ñ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ ÑÐ°ÑÑÑÐ¾ÑÐ½Ð¸Ñ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð²Ð¸Ð´ÐµÐ¾ÐºÐ°Ð¼ÐµÑ, Ð² ÑÐ¾Ð¼ ÑÐ¸ÑÐ»Ðµ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ. ÐÑÐ½Ð¾Ð²Ð½Ð°Ñ ÑÐ°ÑÑÑ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ»Ð° Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð° Ð² ÑÑÐ»Ð¾Ð²Ð¸ÑÑ Ð·Ð°ÐºÑÑÑÐ¾Ð³Ð¾ Ð¿Ð¾Ð¼ÐµÑÐµÐ½Ð¸Ñ. Ð ÑÐ¾Ð´Ðµ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ»Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð° ÑÑÑÐ°Ð½Ð¾Ð²ÐºÐ° Ð´Ð»Ñ ÑÐ±Ð¾ÑÐ° Ð±Ð°Ð·Ñ Ð´Ð°Ð½Ð½ÑÑ. ÐÐ°Ð·Ð° Ð´Ð°Ð½Ð½ÑÑ Ð²ÐºÐ»ÑÑÐ°ÐµÑ Ð² ÑÐµÐ±Ñ Ð¾Ð±ÑÑÐ°ÑÑÑÑ Ð¸ Ð²Ð°Ð»Ð¸Ð´Ð°ÑÐ¸Ð¾Ð½Ð½ÑÑ Ð²ÑÐ±Ð¾ÑÐºÐ¸ Ð´Ð»Ñ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹ Ð¸ ÑÐµÑÑÐ¾Ð²ÑÑ Ð²ÑÐ±Ð¾ÑÐºÑ Ð´Ð»Ñ Ð¿ÑÐ¾Ð²ÐµÑÐºÐ¸ ÑÐ¾ÑÐ½Ð¾ÑÑÐ¸ Ð¸Ð·Ð¼ÐµÑÐµÐ½Ð¸Ñ ÑÐ°ÑÑÑÐ¾ÑÐ½Ð¸Ñ.Â ÐÐ¾ÑÐ»Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¸ ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹ Ð±ÑÐ»Ð¾ ÑÑÑÐ°Ð½Ð¾Ð²Ð»ÐµÐ½Ð¾, ÑÑÐ¾ Ð½Ð°Ð¸Ð»ÑÑÑÐ¸Ð¼ ÑÐ¾Ð¾ÑÐ½Ð¾ÑÐµÐ½Ð¸ÐµÐ¼ Ð°Ð±ÑÐ¾Ð»ÑÑÐ½Ð¾Ð¹ Ð¸ Ð¾ÑÐ½Ð¾ÑÐ¸ÑÐµÐ»ÑÐ½Ð¾Ð¹ ÑÐ¾ÑÐ½Ð¾ÑÑÑÑ Ð¸Ð·Ð¼ÐµÑÐµÐ½Ð¸Ñ Ð¾Ð±Ð»Ð°Ð´Ð°ÐµÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ Ñ Ð²ÑÐ¾Ð´Ð½ÑÐ¼Ð¸ Ð´Ð°Ð½Ð½ÑÐ¼Ð¸ Ð² Ð²Ð¸Ð´Ðµ Ð¿Ð»Ð¾ÑÐ°Ð´Ð¸ Ð¾Ð¿Ð¸ÑÐ°Ð½Ð½Ð¾Ð³Ð¾ Ð²Ð¾ÐºÑÑÐ³ Ð¾Ð±ÑÐµÐºÑÐ° Ð¿ÑÑÐ¼Ð¾ÑÐ³Ð¾Ð»ÑÐ½Ð¸ÐºÐ° Ð¸ ÐºÐ¾Ð¾ÑÐ´Ð¸Ð½Ð°Ñ ÑÐµÐ½ÑÑÐ° Ð¿ÑÑÐ¼Ð¾ÑÐ³Ð¾Ð»ÑÐ½Ð¸ÐºÐ°. ÐÐ¾ Ð²ÑÐµÐ¼Ñ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ ÑÑÐ¾Ð¹ ÑÐµÑÐ¸ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð»Ð°ÑÑ ÑÑÐ½ÐºÑÐ¸Ñ ÑÑÐµÐ´Ð½ÐµÐ³Ð¾ Ð¼Ð¾Ð´ÑÐ»Ñ Ð¾ÑÐ¸Ð±Ð¾Ðº. ÐÐ°Ð½Ð½Ð°Ñ Ð¼Ð¾Ð´ÐµÐ»Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð»ÐµÐ³Ð»Ð° Ð² Ð¾ÑÐ½Ð¾Ð²Ñ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ñ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ ÑÐ°ÑÑÑÐ¾ÑÐ½Ð¸Ñ Ð´Ð¾ Ð¾Ð±ÑÐµÐºÑÐ°.
description: This work is devoted to the study of the possibility of measuring the distance to an object in space using the image data of an object obtained using a monocular camera. Before the main work, a review of existing methods for determining distance using video cameras, including using machine learning, was conducted. The main part of the work was carried out in a closed room. In the course of the work, a database collection facility was developed. The database includes training and validation samples for training neural networks and a test sample to verify the accuracy of distance measurement.Â  After training and testing the obtained neural networks, it was found that the best ratio of absolute and relative measurement accuracy is possessed by a neural network with input data in the form of the area of the rectangle described around the object and the coordinates of the rectangle center. During the training of this network, the function of the average error module was used. This model of the neural network formed the basis of the program for determining the distance to the object.