Navigation has always been the core technology of smart car AGV, magnetic stripe navigation, laser navigation, two-dimensional code navigation, natural navigation and other technologies. Recently, visual navigation has moved from the background to the front desk, causing the attention of the AGV industry.
Visual navigation is to capture image information through a visual camera to obtain the position, direction, and other environmental information of a moving object in space, and to process the obtained information with a certain algorithm, establish an environmental model, and then find an optimal or approximate Optimal collision-free path for safe movement to destination.
In visual navigation technology, there are two key points - visual camera and artificial intelligence algorithm, the former is mainly used to obtain environmental information, and the latter is used to analyze data, extract feature quantities, so as to provide decision-making basis for the next action.
When talking about visual navigation, Seegrid must be mentioned. Seegrid is an automaker that focuses on Pittsburgh. As a technology route that can solve problems with low cost and big data, visual perception has also attracted more and more attention of auto-driving related companies in the automotive driverless field. The most representative of these companies is Tesla. In addition, Tucson Futures, an autopilot start-up company founded in 2015. In the driverless car, the visual system replaces the laser navigation. It seems to be a bit full of realistic and realistic feeling. However, in the navigation application of the AGV industry, there is still a certain market.
Compared to the driverless car, the technical difficulty of visual navigation technology is that the distance measurement algorithm is good enough to accurately measure the accuracy and positioning, and the visual navigation requires more light, and the visual navigation technology is flawed in these two aspects. Does not affect the application of AGV trolley in the internal logistics, because AGV trolley is slower and easier to locate than the unmanned automobile. For internal logistics, solving the light problem is a very simple matter.
According to Jeff Christensen, vice president of products and services at Seegrid, the visual camera will take a precise time interval of each moment and compare the difference between each two images. The relative motion between them and all objects will pass through the image. The contrasts perceived that through image contrast, it would perceive parallax and depth of field as human eyes do through digital processing and calculating the perceived distance. Visual navigation can not only sense whether there are objects, but also can sense their distance and relative movements. Through the camera to receive images, the processor creates a precise three-dimensional digital model of the digital signals and invokes motion algorithms based on the three-dimensional Geometry assists in the correction. They do not need to set additional auxiliary awareness markers during the movement.
Visual navigation technology relies on the laying of magnetic strips, laser reflectors, and other aids for navigation and positioning. However, these methods result in high site reconstruction costs and inability to change routes. Visual navigation is the closest to and understanding of human navigation. And avoiding obstacles, the multi-camera can be used as a patrol inspection and recording function in addition to navigation, and a visual navigation method without a fixed reference object will be able to obtain more convenient deployment and can be directly applied to the natural environment without on-site reconstruction.
The visual positioning navigation technology allows AGV cars to have recognition and recognition functions. For example, the object type and pose can be identified. The AGV car can accomplish more and more complex tasks, such as unmanned sorting and unmanned packing.
Unlike other navigation methods, the greatest advantage of visual navigation AGV is that it allows no fixed reference object. However, in order to achieve higher positioning accuracy, in addition to visual navigation, other navigation or positioning systems can be used as auxiliary to ensure that Better positioning accuracy and safety.
SpeedSense is an artificial intelligence startup company with machine vision as its core, and an industry-leading visual solution provider. Founded in 2014, the main products at present are: vision sensor, high-precision controller and hardware decision-making control platform based on embedded vision chip. The company is committed to helping industry users use low-cost, high-efficiency visual fusion technologies to solve key applications such as perception, location, navigation, and planning for smart mobile devices in space.
Multiple VGVs (VisionGuidedVehicles) released by Seegrid
Seegrid is also presenting many visual navigation AGVs at Modex2016. From Seegrid's press conference, it is learned that many VGV (VisionGuided Vehicles) products released by Seegrid have been mature in many aspects of visual navigation material processing equipment, and many products are already in use by users. Where it is well used, the greatest benefit of VGV is that customers do not need to replace the existing equipment with VGV and refit the site without adding additional navigation aids.
Unattended ground autonomous trolley with stereo vision navigation system
CanvasTechnologies has launched a new unmanned ground autonomous trolley with a stereoscopic navigation system that uses 2D radar to draw a map. 3D visual navigation provides a three-dimensional image for object and scene recognition, artificial intelligence identification, and reading signs. Color, mark and gesture recognition, 3D human-computer interaction, and collaborative work.
Unmanned forklift for visual navigation of future robots
VisionNav Robotics (Future Robot Co., Ltd.) is a Chinese University of Hong Kong. It is also a key funding company of the Hong Kong Innovation and Technology Commission and the Hong Kong Science Park. With rigorous, pragmatic, innovative, shared, and responsible core values, we focus on the development and application of visual unmanned technology for industrial vehicles. In the future, the visual navigation of robots AGV has been maturely applied in e-commerce logistics, aviation logistics, daily chemicals manufacturing, home appliances and printing, and has been recognized and strongly supported by many Fortune 500 companies and domestic listed companies. At present, the visual navigation technology has attracted the attention of the AGV industry, and more and more companies are focusing on the development and application of driverless technology.
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