RU2016143345A - Автономное вождение на перекрестках на основе данных восприятия - Google Patents

Автономное вождение на перекрестках на основе данных восприятия Download PDF

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RU2016143345A
RU2016143345A RU2016143345A RU2016143345A RU2016143345A RU 2016143345 A RU2016143345 A RU 2016143345A RU 2016143345 A RU2016143345 A RU 2016143345A RU 2016143345 A RU2016143345 A RU 2016143345A RU 2016143345 A RU2016143345 A RU 2016143345A
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vehicle
driver
nearest vehicle
nearest
intersection
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RU2016143345A
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Эшли Элизабет МИКС
Харпритсингх БАНВЭЙТ
Джинеш Дж. ДЖАИН
Брилле РАЙФФ
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ФОРД ГЛОУБАЛ ТЕКНОЛОДЖИЗ, ЭлЭлСи
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Publication of RU2016143345A publication Critical patent/RU2016143345A/ru

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Claims (39)

1. Система, содержащая:
компонент перекрестка, сконфигурированный с возможностью определения, что основное транспортное средство находится вблизи перекрестка;
систему камеры, сконфигурированную с возможностью захвата изображения ближайшего транспортного средства;
компонент границы, сконфигурированный с возможностью идентификации подучастка изображения, содержащего индикатор сигнала поворота на ближайшем транспортном средстве; и
компонент прогнозирования, сконфигурированный с возможностью прогнозирования будущего перемещения ближайшего транспортного средства через перекресток на основе состояния индикатора сигнала поворота.
2. Система по п. 1, дополнительно содержащая компонент сигнала поворота, сконфигурированный с возможностью обработки данных изображения в подучастке изображения для определения состояния индикатора сигнала поворота.
3. Система по п. 1, дополнительно содержащая компонент предыдущих состояний, сконфигурированный с возможностью определения одного или более предыдущих состояний ближайшего транспортного средства на основе беспроводных связей, указывающих одно или более предыдущих состояний ближайшего транспортного средства, причем компонент прогнозирования сконфигурирован с возможностью прогнозирования будущих перемещений ближайшего транспортного средства на основе одного или более предыдущих состояний ближайшего транспортного средства.
4. Система по п. 3, в которой беспроводная связь содержит одну или более из связи между транспортными средствами (V2V) и связи между транспортными средствами и инфраструктурой (V2X).
5. Система по п. 3, в которой одно или более предыдущих состояний указывают длительность времени, в течение которого ближайшее транспортное средство находилось вблизи перекрестка.
6. Система по п. 1, дополнительно содержащая компонент перемещений транспортного средства, сконфигурированный с возможностью определения одного или более перемещений транспортного средства ближайшего транспортного средства, причем компонент прогнозирования сконфигурирован с возможностью прогнозирования будущих перемещений ближайшего транспортного средства на основе одного или более перемещений транспортного средства ближайшего транспортного средства.
7. Система по п. 1, в которой компонент границы дополнительно сконфигурирован с возможностью идентификации подучастка изображения, соответствующего местоположению водителя, причем система дополнительно содержит компонент язык тела, сконфигурированный с возможностью обнаружения языка тела водителя путем идентификации одного или более из ориентации головы, направления взгляда и жеста водителя, причем компонент прогнозирования сконфигурирован с возможностью прогнозирования будущих перемещений ближайшего транспортного средства на основе языка тела водителя.
8. Осуществляемый компьютером способ, содержащий:
прием изображения ближайшего транспортного средства вблизи перекрестка и хранение изображения в памяти компьютера;
идентификацию, с использованием одного или более процессоров, подучастка изображения, содержащего индикатор сигнала поворота на ближайшем транспортном средстве;
идентификацию, с использованием одного или более процессоров, подучастка изображения, содержащего водителя ближайшего транспортного средства;
прогнозирование, с использованием одного или более процессоров, будущего перемещения ближайшего транспортного средства через перекресток на основе состояния индикатора сигнала поворота и языка тела водителя;
определение, с использованием одного или более процессоров, времени для проезда основного транспортного средства через перекресток на основе спрогнозированного будущего перемещения ближайшего транспортного средства; и
заставление основного транспортного средства выполнять маневр вождения на основе определенного времени для проезда через перекресток.
9. Способ по п. 8, дополнительно содержащий определение, что основное транспортное средство находится вблизи перекрестка.
10. Способ по п. 8, дополнительно содержащий обработку данных изображения в подучастке изображения, содержащем индикатор сигнала поворота, для определения состояния индикатора сигнала поворота, и обработку данных изображения в подучастке изображения, содержащем водителя ближайшего транспортного средства, для определения языка тела водителя.
11. Способ по п. 10, в котором определение языка тела водителя содержит идентификацию одного или более из ориентации головы, направления взгляда и жеста водителя.
12. Способ по п. 8, дополнительно содержащий определение одного или более предыдущих состояний ближайшего транспортного средства на основе беспроводной связи, причем прогнозирование будущих перемещений ближайшего транспортного средства содержит прогнозирование на основе одного или более предыдущих состояний ближайшего транспортного средства.
13. Способ по п. 12, в котором беспроводная связь содержит одну или более из связи между транспортными средствами (V2V) и связи между транспортными средствами и инфраструктурой (V2X).
14. Способ по п. 8, дополнительно содержащий обнаружение одного или более перемещений транспортного средства ближайшего транспортного средства, причем прогнозирование будущих перемещений ближайшего транспортного средства содержит прогнозирование на основе одного или более перемещений транспортного средства ближайшего транспортного средства.
15. Способ по п. 8, дополнительно содержащий осуществление доступа или обработку модели или базы данных, устанавливающей корреляцию состояния индикатора сигнала поворота и языка тела водителя с прогнозируемым будущим перемещением.
16. Способ по п. 15, в котором модель или база данных содержит машинное обучение значениям или корреляциям на основе движения одного или более транспортных средств, языка тела водителя и информации сигнала поворота во время предыдущих сценариев вождения на перекрестке.
17. Считываемые компьютером среды хранения, хранящие инструкции, которые, при исполнении одним или более процессорами, заставляют процессоры:
определять, что основное транспортное средство находится вблизи перекрестка;
захватывать множество изображений ближайшего транспортного средства;
идентифицировать подучасток в каждом из множества изображений, содержащий индикатор сигнала поворота на ближайшем транспортном средстве; и
прогнозировать будущее перемещение ближайшего транспортного средства через перекресток на основе состояния индикатора сигнала поворота.
18. Считываемые компьютером среды хранения по п. 17, в которых инструкции дополнительно заставляют процессор обрабатывать данные изображения в подучастке множества изображений для определения состояния индикатора сигнала поворота.
19. Считываемые компьютером среды хранения по п. 17, в которых инструкции дополнительно заставляют процессор:
определять одно или более предыдущих состояний ближайшего транспортного средства на основе беспроводных связей, указывающих одно или более предыдущих состояний ближайшего транспортного средства; и
прогнозировать будущие перемещения ближайшего транспортного средства на основе одного или более предыдущих состояний ближайшего транспортного средства.
20. Считываемые компьютером среды хранения по п. 17, в которых инструкции дополнительно заставляют процессор:
идентифицировать подучасток изображения, соответствующий местоположению водителя;
обнаруживать язык тела водителя путем идентификации одного или более из ориентации головы, направления взгляда и жеста водителя; и
прогнозировать будущие перемещения ближайшего транспортного средства на основе языка тела водителя.
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