AI education robot unmanned driving method based on multi-sensor fusion
A multi-sensor fusion, unmanned technology, applied in the direction of supporting machines, instruments, mechanical equipment, etc., can solve the problems of poor anti-theft performance, poor sensor and camera stability, etc., achieve high-precision path planning, and improve the effect of recognition accuracy.
Pending Publication Date: 2021-04-13
上海纳深机器人有限公司
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Problems solved by technology
[0005] The present invention provides an unmanned driving method for AI educational robots based on multi-sensor fusion, which solves the problems of poor stability after installation of multiple sensors and cameras, and the need to borrow a large number of auxiliary tools for installation, resulting in poor anti-theft performance.
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[0028] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0029] Please refer to figure 1 , figure 2 , image 3 , Figure 4 ,in, figure 1 A schematic diagram of the steps of the AI educational robot unmanned driving method based on multi-sensor fusion provided by the present invention; figure 2 A schematic structural view of the connection assembly provided by the present invention; image 3 for figure 1 A structural sectional view of the clamping structure shown; Figure 4 for figure 1 Structural cross-sectional view of the hidden structure shown. The unmanned driving method of AI educational robot based on multi-sensor fusion includes the following steps:
[0030] S1. Arrange multi-cooperative sensors and high-sensitivity cameras around the body through connecting components. By connecting the connecting plate with the surrounding of the body, insert the clamping block with the camera into the i...
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The invention provides an AI education robot unmanned driving method based on multi-sensor fusion. The AI education robot unmanned driving method comprises the following step of S1, arranging a multi-cooperation sensor and a high-sensitivity camera around a vehicle body through a connecting assembly, enabling a connecting plate to be connected with the periphery of the vehicle body, inserting a clamping block provided with the camera into a box body, and extruding two protruding blocks through using an elastic force of extrusion springs, so that the two protruding blocks and two L-shaped blocks arranged in the box body are clamped tightly. According to the AI education robot unmanned driving method based on multi-sensor fusion, a multi-aspect clamping function is achieved, the installation stability of the camera or the sensor is greatly improved, a moving plate can be pulled through the elastic force of a reset spring, so that the moving plate and a rotating handle move towards the interior of a hidden frame, a moving plate and the rotating handle are driven to move towards the interior of the hidden frame, the camera is prevented from being randomly disassembled by external personnel, and a good hiding function is achieved.
Description
technical field [0001] The present invention relates to the field of road segmentation and target recognition, in particular to an AI educational robot unmanned driving method based on multi-sensor fusion. Background technique [0002] The reason why an intelligent robot is called an intelligent robot is because it has a well-developed "brain". What works in the brain is the central processing unit, a computer that has a direct connection to the person who operates it. Most importantly, such a computer can perform purposeful actions. Because of this, we say that this kind of robot is a real robot, although their appearance may be different, and a single sensor cannot meet the needs of unmanned driving, GPS is relatively accurate, but the update frequency is low. [0003] However, the existing unmanned driving method based on multi-sensor fusion has certain shortcomings. For example, when installing multiple sensors and cameras, it is time-consuming and labor-intensive, whi...
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IPC IPC(8): G05D1/02F16M11/04F16M13/02
CPCG05D1/0246F16M11/041F16M13/02
Inventor 蒋随军
Owner 上海纳深机器人有限公司