V2I-based intelligent networked auxiliary perception streetlamp system for autonomous vehicles

An automatic driving and vehicle-assisted technology, which is applied in radio wave measurement system, electromagnetic wave re-radiation, radio wave reflection/re-radiation, etc., can solve problems such as short detection distance, harsh working environment, and high sensor price

Inactive Publication Date: 2019-09-06
BEIHANG UNIV
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Problems solved by technology

[0004] Aiming at the problems of high price, short detection distance and bad working environment of the sensors equipped with existing self-driving cars, the present invention provides a V2I-based intelligent network-linked self-driving car auxiliary perception street lamp system, which does not need to be installed in the infrastructure In addition, a circuit is laid to ...

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  • V2I-based intelligent networked auxiliary perception streetlamp system for autonomous vehicles
  • V2I-based intelligent networked auxiliary perception streetlamp system for autonomous vehicles
  • V2I-based intelligent networked auxiliary perception streetlamp system for autonomous vehicles

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Embodiment Construction

[0021] The present invention will be further described in detail below in conjunction with the accompanying drawings.

[0022] The present invention relates to a V2I-based intelligent connected automatic driving vehicle auxiliary perception street lamp system, its structure is as follows figure 1 As shown, including a street lamp 1 and a data center arranged in the road network, a camera image sensor 11, a millimeter-wave radar sensor 12 and a laser radar sensor 13 are installed in the street lamp 1, and the camera image sensor 11 collects image data within the coverage area, mm The wave radar sensor 12 collects the speed data of objects under street lamps, and the lidar sensor 13 collects road surface point cloud data. Each sensor is connected to the data center to transmit the data collected by each to the data center. After the data center receives the data, it is based on computer vision technology. Data extraction and fusion processing with data fusion technology to form ...

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Abstract

The invention provides a V2I-based intelligent networked auxiliary perception streetlamp system for autonomous vehicles. The system comprises a streetlamp set in a road network and a data center, wherein the streetlamp is internally provided with a camera image sensor, a millimeter wave radar sensor and a laser radar sensor; the sensors are all connected with the data center to transmit the respectively acquired data to the data center; the data center carries out data extraction and fusion on the basis of a computer vision technology and a data fusion technology after receiving the data, so as to form real-time data of the road network; and the data center is combined with a 5G network service provider to distribute the real-time data of the corresponding road network to each vehicle-mounted terminal through a 5G network according to the demands of the autonomous vehicles, so as to realize the intelligent networked communication of V2I. The system is capable of detecting various pieces of information in the covered traffic range through the road network, so that the vehicle-mounted terminals can conveniently obtain the instant data information on the paths, thereby infinitely enlarging the perception range and avoiding potential safety hazards and traffic jam.

Description

technical field [0001] The invention relates to the technical field of intelligent networked automatic driving vehicles, in particular to a V2I-based intelligent networked automatic driving vehicle auxiliary perception street lamp system. Background technique [0002] Self-driving vehicles (Autonomous vehicles; Self-piloting automobile), also known as unmanned vehicles, computer-driven vehicles, or wheeled mobile robots, are intelligent vehicles that realize unmanned driving through computer systems. It has a history of several decades in the 20th century, and it has shown a trend close to practicality in the early 21st century. The development of autonomous driving is limited by the development of current sensors. For a single car, its perception ability and perception range are very limited. In addition, due to factors such as cost, it is difficult to pre-populate high-precision and high-value sensors such as 64-line lidar on a large scale, which greatly restricts the dev...

Claims

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Application Information

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IPC IPC(8): G01S13/58G01S17/89G01S13/86
CPCG01S13/58G01S13/865G01S13/867G01S17/89
Inventor 杨世春李强伟曹耀光华旸陈昱伊
Owner BEIHANG UNIV
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