Lunar surface landing meteorite crater obstacle detection method, storage medium and electronic equipment

A technology of obstacle detection and craters, which is applied in the aerospace field, can solve the problems of target detection accuracy, small imaging, and few pixels, and achieve the effects of improving target detection accuracy, enhancing back propagation, and good detection speed

Pending Publication Date: 2022-03-25
SHANGHAI AEROSPACE CONTROL TECH INST
View PDF0 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the terrain on the surface of the moon is rugged, constantly bombarded by a large number of various meteorites, and lacks the protection of the atmosphere. These impactors can reach the moon’s surface, thus forming new craters. In addition, the moon’s surface has many unknown obstacles such as rocks and slopes. , which poses a very big challenge to the future unmanned or manned precise autonomous landing on the lunar surface. Therefore, an obstacle detection method that can enable the spacecraft to accurately avoid crater obstacles and meet very strict landing accuracy requirements is required
[0003] Lunar landing crater detection usually faces the following challenges: First, when the lander has just entered the landing state and is far away from the lunar surface, the image of the crater in the camera is usually small, with fewer pixels, and feature extraction is difficult
The second challenge is that images of the lunar surface are often disturbed by other external factors such as shadows, light and moon dust
However, the current crater target detection method cannot adapt to the multi-scale changes of the target, resulting in a high target recognition error rate, and the target detection accuracy needs to be improved

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Lunar surface landing meteorite crater obstacle detection method, storage medium and electronic equipment
  • Lunar surface landing meteorite crater obstacle detection method, storage medium and electronic equipment
  • Lunar surface landing meteorite crater obstacle detection method, storage medium and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The present embodiment will be described in detail below, examples of which are shown in the drawings, in which the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0030] The following describes the lunar landing crater obstacle detection method, storage medium and electronic equipment of this embodiment with reference to the accompanying drawings.

[0031] figure 1 It is a flowchart of a method for detecting obstacles in lunar landing craters provided by an embodiment of the present invention. Such as figure 1 As shown, the method includes:

[0032] Step S1, obtaining lunar remote sensing image data with a preset resolution, and making the lunar remote sensing image data into a crater data set.

...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a lunar surface landing meteorite crater obstacle detection method, a storage medium and electronic equipment, and the method comprises the steps: obtaining lunar remote sensing image data with a preset resolution, and making the lunar remote sensing image data into a meteorite crater data set; performing data enhancement processing on the image in the meteorite crater data set, and making a label for the meteorite crater data set after data enhancement processing; establishing a dense connection network model based on a YOLO-V4 backbone network structure; inputting the data set containing the meteorite crater label into the dense connection network model in a preset size, and setting preset training parameters to train the dense connection network model; and inputting a to-be-detected meteorite crater data set into the trained dense connection network model, so as to carry out target meteorite crater detection through the trained dense connection network model. According to the method, the meteorite crater obstacles with multi-scale changes can be autonomously identified, and avoidance of dangerous landing areas in the rough obstacle avoidance stage of lunar landing can be conveniently completed.

Description

technical field [0001] The invention relates to the field of aerospace technology, in particular to a method for detecting obstacles in lunar landing craters, a storage medium and electronic equipment. Background technique [0002] With the development of aerospace technology, human exploration of space has become more and more in-depth, especially the global lunar exploration boom brought about by the US return to the moon plan. However, the terrain on the surface of the moon is rugged, constantly bombarded by a large number of various meteorites, and lacks the protection of the atmosphere. These impactors can reach the moon’s surface, thus forming new craters. In addition, the moon’s surface has many unknown obstacles such as rocks and slopes. , which poses a very big challenge to the future unmanned or manned precise autonomous landing on the lunar surface. Therefore, an obstacle detection method that can enable the spacecraft to accurately avoid crater obstacles and meet...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06V20/10G06V10/26G06V10/72G06V10/774G06V10/82G06N3/04G06N3/08G06K9/62
CPCG06N3/082G06N3/084G06N3/045G06F18/10G06F18/214
Inventor胡涛贺亮张翰墨曹涛郑博
OwnerSHANGHAI AEROSPACE CONTROL TECH INST