Classification of vision systems for mobile robots – KUKA KUKA

Create Date: 2024-8-30 12:03:23|Source: KUKA

The vision system of mobile robot refers to the vision system of mobile robot, including two parts: obtaining pictures through sensors and processing pictures through computer processors. According to the number and characteristics of vision sensors, the mainstream mobile robot vision system includes monocular vision, binocular vertical vision, multi-eye vision and panoramic vision.

                            Classification of vision systems for mobile robots – KUKA KUKA

1. Monocular vision system

Monocular vision systems use only one vision sensor. The monocular visual system loses depth information in the imaging process because of the three-dimensional objective international projection of N-dimensional pictures, which is the primary disadvantage of this type of visual system. However, because of the simple monocular vision architecture, sophisticated algorithms, and small calculation volume, it has been widely used in autonomous mobile robots. For example, it is used for policy tracking, indoor positioning and navigation based on monocular features, etc. Together, monocular vision is the foundation of other types of vision systems, such as binocular stereo vision, multi-eye vision, etc., which are realized on the basis of the monocular vision system through additional techniques and methods.

2. Binocular stereo vision system

The binocular vision system consists of two cameras, which use the principle of triangulation to obtain depth information of the scene. And it can reconstruct the three-dimensional shape and orientation of the surrounding scene, similar to the stereo function of the human eye, and the principle is simple. The binocular vision system needs to clearly know the spatial orientation relationship between the two cameras. And the 3D information of the scene environment requires two cameras to take two pictures of the same scene from different viewpoints together. And do a messy match to get it accurately. The stereo vision system can accurately recover the gas and dimensional information of the visual scene, and has been widely used in the positioning and navigation, obstacle avoidance, and map construction of mobile robots. However, the difficulty in the stereo vision system is the problem of matching the corresponding points, which greatly limits the application prospect of stereo vision in the field of robotics.

3. Multi-eye vision system

The multi-eye vision system selects three or more cameras, and the triocular vision system is the majority, which is mainly used to solve the problem of matching ambiguity in the binocular stereo vision system and improve the matching accuracy. The advantage of the trinocular vision system is that it makes full use of the information of the third camera, reduces the fault matching, solves the ambiguity of the binocular vision system matching, and improves the positioning accuracy, but the trinocular vision system should reasonably settle the relative orientation of the three cameras, and its structural equipment is more cumbersome than the binocular vision system, and the matching algorithm is more messy, the demand consumes more time, and the real-time performance is worse.

4. Panoramic visual system

The outstanding advantage of the multi-directional imaging system with a large horizontal field of view is that it has a large field of view and can reach 360°, which is incomparable with other conventional lenses. The panoramic visual system can be realized through the method of picture splicing or through the catadioptric optical elements, and the method of picture splicing uses a single or multiple cameras to rotate to scan the scene at a large point of view, obtain multiple frames of pictures connected in different directions, and then use the stitching technology to obtain the panorama.

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