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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

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

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25-07-2023 дата публикации

Train millimeter wave radar speed measurement method and system based on mixed frequency band redundancy architecture

Номер: CN116482671A
Автор: GAO HONGMIN, LI BO, PENG ZEZHOU, LIN ZHAN, WANG HU, SUN WANG, JEONG TAEK-HEE, GUO CHONGMIN, DENG XIAOPENG, CHEN NINGNING, MENG JUN, ZHENG WEI, WANG PENG, QIN YUE, DU MENG, CUI YIBO
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The invention discloses a train millimeter wave radar speed measurement method and system based on a mixed frequency band redundancy architecture, which adopts a structural design of double sets of digital signal processing redundancy, fully utilizes the performance characteristics of radars of different frequency bands, adopts a dual-frequency-band parallel working redundancy mechanism, and adopts a continuous wave modulation (CW) + frequency modulated continuous wave (FMCW) dual-mode working mechanism. Interference of signals with the same frequency is effectively avoided, and the stability and precision of the radar are further improved. In actual measurement, the low-speed operation condition of a train and some external environments can interfere with the radar and influence the measurement of the train speed, and the radar speed measurement is corrected by combining with the accelerometer for data fusion, so that the anti-interference capability of the system speed measurement can ...

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Номер записи: 1
11-04-2023 дата публикации

Train operation environment obstacle sensing method based on multi-mode fusion recognition

Номер: CN115953662A
Автор: DENG JINGXUE, FAN KAI, JEONG TAEK-HEE, LIU HAOWEI, SHEN XIANG, GUO CHONGMIN, OUYANG ZIBO, WANG MENG, BAI GUANGZHENG, WEI BO, FENG HAONAN, LI BO, HUANG SUSU, WANG CHAO, ZHANG DEMING, WANG LIN, LI ZHENG, LI LIANG, FANG LIYI, DUAN PENGYU, DENG XIAOPENG, YI ZHIGANG, WANG XIANGHUI, DU MENG, ZHANG JINGDONG, LI PENG
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The invention discloses a train operation environment obstacle sensing method based on multi-mode fusion recognition, and the method comprises the steps: setting a corresponding sensor for a train operation environment, so as to collect three-dimensional space and visual multi-mode data; fusing the collected multi-mode data, and converting the input of all sensors into an aerial view representation space; based on the fused multi-mode data, a target detection algorithm based on a deep neural network is adopted to extract a track gauge, and real-time detection of obstacles in a train operation environment is carried out; and outputting train operation environment obstacle sensing early warning information based on the aerial view on the basis of a detection result. According to the method, multi-modal data of multiple sensors such as radar and images are fused, track identification and 3D obstacle detection are carried out by adopting a target detection algorithm based on a deep neural network ...

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Номер записи: 2