Настройки

Укажите год
-

Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

Подробнее
-

Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

Подробнее

Форма поиска

Поддерживает ввод нескольких поисковых фраз (по одной на строку). При поиске обеспечивает поддержку морфологии русского и английского языка
Ведите корректный номера.
Ведите корректный номера.
Ведите корректный номера.
Ведите корректный номера.
Укажите год
Укажите год
Применить Всего найдено 7. Отображено 7.
08-08-2023 дата публикации

Adaptive traffic signal control system and method for traffic flow prediction

Номер: CN116564104A
Автор: PI JIATIAN, XU JIN, WANG YUXUAN, YANG XINMIN, WU CHANGZHI
Принадлежит:

The invention discloses a self-adaptive traffic signal control system and method for traffic flow prediction, and relates to the technical field of artificial intelligence traffic planning, and the system is characterized in that the system comprises a traffic state sensing module, a data preprocessing module, a traffic feature extraction module, a traffic flow prediction module, and a self-adaptive signal control and communication module; the traffic state sensing module is used for collecting vehicle information, traffic light information and traffic monitoring equipment information of a plane intersection and sending the collected information to the data preprocessing module. The system and the control method are more suitable for changes of dynamic traffic flow, and the purpose of optimizing the traffic flow is achieved; meanwhile, the efficiency and the precision of the traffic signal control system are improved by utilizing a big data analysis technology and a deep learning algorithm ...

Подробнее
Номер записи: 1
23-05-2023 дата публикации

Image generation model training method and device, electronic equipment and storage medium

Номер: CN116152599A
Автор: LIU YANHONG, XIA FEN, JIANG NING, WU HAIYING, ZENG JUNYI, PI JIATIAN, WU ZHIYOU
Принадлежит:

The invention provides an image generation model training method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a first sample image and a second sample image; fusing the disturbance carrier in the second sample image into the first sample image to obtain an initial carrier migration image; according to the first sample image, the initial carrier migration image and an initial image generation model, training the initial image discrimination model to obtain a target image discrimination model; and training the initial image generation model according to the first sample image, the original tone-up image, the original carrier image and the target image discrimination model to obtain an image generation model. According to the embodiment of the invention, the training speed of the image generation model and the accuracy of the generated disturbance image can be improved.

Подробнее
Номер записи: 2
12-08-2015 дата публикации

Method for detecting crowded people flow in real time based on three-dimensional depth map data

Номер: CN104835147A
Автор: PI JIATIAN, GU YUZHANG, DU RUOQI, ZHANG CHENG, WU XIUHAO, WEI ZHI
Принадлежит:

The invention relates to a method for detecting a crowded people flow in real time based on three-dimensional depth map data. The method comprises the following steps: acquiring three-dimensional depth map data by using a camera; acquiring preliminary head targets by using foreground extraction and head target area detection; tracking pedestrians and recording the movement loci; and determining the number of the pedestrians and moving direction according to the movement loci. The method performs image processing on a three-dimensional depth map, effectively solves a defect of false detection in two-dimensional image data processing, improves the accuracy of people flow statistics, reduces computation complexity, may detect people flow in real time, and is suitable for intelligent video monitoring field.

Подробнее
Номер записи: 3
22-08-2023 дата публикации

Adaptive traffic signal control method combining traffic flow prediction and reinforcement learning

Номер: CN116631203A
Автор: PI JIATIAN, YANG XINMIN, WU CHANGZHI
Принадлежит:

The invention discloses a traffic flow prediction and reinforcement learning combined adaptive traffic signal control method, and relates to the technical field of traffic signal control, and the key points of the technical scheme are that the method specifically comprises the following steps: S1, obtaining the number and speed information of vehicles at an entrance and an exit of an intersection, the change trend of the traffic flow in a period of time in the future is predicted based on the acquired information; s2, determining an optimal release phase at the current moment according to the traffic flow prediction result and the real-time traffic information; s3, obtaining the optimal phase green light time through reinforcement learning according to the traffic flow prediction result and the traffic signal field detection data; and S4, the traffic signal control equipment adaptively adjusts parameters such as a signal period, green light time and a phase sequence according to the signal ...

Подробнее
Номер записи: 4
16-09-2015 дата публикации

Method for extracting local salient objects in depth image based on multi-way tree

Номер: CN104915952A
Автор: QU LEI, GU YUZHANG, ZHENG CHUNLEI, CUI ZHENZHEN, ZHANG CHENG, ZHAN YUNLONG, PI JIATIAN, DU RUOQI
Принадлежит:

The invention relates to a method for extracting local salient objects in a depth image based on multi-way tree. The method includes the following steps that: pixel-by-pixel neighborhood difference is performed on an inputted depth image, and a multi-way tree data structure-based depth tree model and a mapping graph of depth tree nodes and image pixels are established; local optimization is performed on leaf nodes of a depth tree, so that noises can be removed; the leaf nodes of the depth tree are traversed, so that a local extremum area of the depth image can be obtained, and the positions of subtree root nodes of the leaf nodes are determined through utilizing a decision function, and therefore, local salient objects areas can be extracted out. With the method adopted, a plurality of salient objects areas can be extracted out quickly and accurately, and the accuracy of the detection of the salient objects in the depth image can be improved.

Подробнее
Номер записи: 5
30-05-2023 дата публикации

Traffic signal control method and device, electronic equipment and storage medium

Номер: CN116189454A
Автор: PI JIATIAN, YANG XINMIN, WU CHANGZHI
Принадлежит:

The invention provides a traffic signal control method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining traffic state information, the traffic state information comprises signal lamp information of an intersection and vehicle information in different passing directions, and the vehicle information comprises the vehicle queue length, and the position and speed of a vehicle; mapping the position and speed of the driving vehicle to the vehicle queue length to obtain the weight of the effective driving vehicle, calculating the phase effective pressure of different phases of the intersection based on the weight of the effective driving vehicle and the vehicle queue length, and establishing a traffic signal control model according to the traffic state information and the phase effective pressure. The new traffic state information is input to the traffic signal control model for training, and the traffic signal of the target intersection is controlled ...

Подробнее
Номер записи: 6
26-08-2015 дата публикации

High-precision stereo matching method based on guiding image guidance

Номер: CN104867135A
Автор: ZHAN YUNLONG, GU YUZHANG, HUANG KUI, ZHANG CHENG, PI JIATIAN, QU LEI, DU RUOQI
Принадлежит:

The invention relates to a high-precision stereo matching method based on guiding image guidance, which comprises the following steps calculating a guiding image; calculating a composite gradient; calculating a composite matching cost; combining the matching costs; calculating a parallax; and refining the parallax. The invention provides a high-efficiency matching method which can deal with common matching scenes, and provides an important basis for design and application of a binocular stereo measurement technique. Furthermore the method can provide a certain reference for designing other stereo coupling methods.

Подробнее
Номер записи: 7