Robot embedded computing terminal integrated with high precision navigation positioning and deep learning

A technology of navigation positioning and deep learning, applied in vehicle position/route/altitude control, instruments, two-dimensional position/course control, etc., can solve the lack of deep learning platform support, lack of environmental intelligent perception ability, and low degree of hardware integration and other problems, to achieve the effect of rich interfaces, overcoming inaccurate monocular ranging, and high integration

Active Publication Date: 2018-11-09
中山赛伯坦智能科技有限公司 +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, current robots generally require three industrial computers for positioning, driving, and core computing to complete basic tasks. Therefore, existing robot embedded platforms generally have insufficient computing power, low hardware integration, lack of deep learning platform support, and lack of environment. Intellisense and other limitations

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  • Robot embedded computing terminal integrated with high precision navigation positioning and deep learning
  • Robot embedded computing terminal integrated with high precision navigation positioning and deep learning

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Embodiment Construction

[0022] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0023] The present invention designs a high-precision integrated intelligent robot embedded device, which provides various interfaces for accessing various sensor devices, and realizes the access of multi-source sensor data. The whole setup satisfies the acquisition, processing and output of multiple signals, and has continuous high-precision multi-sensor fusion adaptive positioning and deep learning capabilities.

[0024] A highly integrated embedded robot development device based on Beidou positioning provided by the embodiment of the present invention has ...

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Abstract

The invention relates to a robot embedded computing terminal integrated with high precision navigation positioning and deep learning. The embedded computing terminal is characterized by comprising a core processing unit Jetson chip, an FPGA chip, an embedded ARM module and multiple types of sensors which are integrated, wherein the sensors comprise a GNSS satellite navigation module, an IMU inertial navigation module, a laser radar device and a camera, the core processing unit Jetson chip is connected with the camera and the laser radar device, the FPGA chip is connected with the GNSS satellite navigation module, the IMU inertial navigation module and the embedded ARM module, and the embedded ARM module is connected with a servo motor of a control robot. The embedded computing terminal isadvantaged in that realization of the real-time high-precision positioning result solution can be supported, and environment sensing and mission planning of the robot are realized.

Description

technical field [0001] The invention describes a highly integrated intelligent robot development device based on high-precision Beidou positioning, which belongs to the field of embedded robot development. Background technique [0002] The multi-source sensor information fusion processing on the robot is the key to the robot's autonomous perception, precise control and task planning. Due to the characteristics of small size, low power consumption and high integration level of the embedded platform, the embedded platform has become the mainstream research and development platform of the robot. However, current robots generally require three industrial computers for positioning, driving, and core computing to complete basic tasks. Therefore, existing robot embedded platforms generally have insufficient computing power, low hardware integration, lack of deep learning platform support, and lack of environment. IntelliSense and other limitations. Contents of the invention [0...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05D1/02
CPCG05D1/0088G05D1/0231G05D1/0246G05D1/027G05D1/0278
Inventor 郭迟董巍张艺芬陈梁代永红崔竞松郭文飞左文炜
Owner 中山赛伯坦智能科技有限公司
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