At today's CCF-GAIR drone, Velodyne's Michael Jellen shared some of Velodyne's technological advantages and market conditions.
Velodyne has been involved in different fields of application in the sensing industry since 2005 and has a very wide customer base. Michael Jellen said that in the past 30 years they have been focusing on sensor software integration. Now the accuracy of this sensor DSB can reach 160 scans per second, in 2016 Velodyne separated from the 3D LiDAR company, We now have an R&D center in Morgan Hill, Calif., and we have branches in Frankfurt and Beijing, which are growing at a rapid pace.
We just mentioned the self-driving car. What kind of progress and help can we offer to LiDAR? When using the previous sensor, sometimes it is not very good to crumple under very strong sunlight or bad weather conditions. The kind of glare can't stand the human eye. What should the machine do? We also help with dynamic laser scanning at extremely complex intersections. We would like to think about the need to predict the operation of all maneuvering objects on such complex crossroads, but if we have our lidars, we can quickly discover these operating conditions.
In February 2015, Velodyne has released the most advanced laser radar system. Compared with radar and cameras, Velodyne not only performs well in conditions with good lighting conditions, but also in extreme weather conditions. Performance.
Laser radar is a laser-based sensor that senses light and transmits this image back to the sensor. Everyone sees that LiDAR is composed of two parts. The biggest advantage of LiDAR over conventional sensors is that it can return 3D pictures in high definition at any time, and it can also be basically free from the influence of the environment. And with the full spread of production, its cost can be further reduced.
How can we use this lidar to solve the problem we need to solve now? The first one is the 3D image . We use this high-definition laser radar to shoot high- resolution 3D photos. Then we can superimpose these photos together to see these beautiful 3D HD images. We can fully perceive All the roadblocks, road mines and surrounding buildings on the road, and now the navigation system can operate with our radar system.
In the fully autonomous driving process, first of all we will have a high-definition map, the accuracy should be in millimeters, and then we will also give a 3D structure, and we will give people or people to observe Or understand the local road conditions, will know the traffic conditions ahead to make a second decision. With this dual insurance we can save more lives and reduce car accidents. Thank you!
Wu Gansha: Thank you, Michael Jellen for your very inspiring speech. If there are any questions for the audience, they can ask questions.
Audience: Thank you for giving me the opportunity to ask questions, because I saw a lot of startups and they said they are also doing radarless radar systems. From my data, as a radar expert, you feel that I am When investing in this area, as an investor, what questions should I ask of such startups? Is it a question that everyone faces on the surface or is there any unique problem? I can ask to judge the radar industry.
Michael Jellen: Thank you for your question. If it is the driverless field, I suggest that you can judge that it is entirely possible to invest in the future because they will be able to change or subvert the world in the future, if not for the radar of unmanned areas. You should take a good look at their products. We now know that, like the products, there will be more emphasis on the compression of costs and the improvement of products in the future sensor field. If you need some help, you can also find us. We are now in the next 5 to 7 years each year, we also have two or three hundred different models of products will be available in the radar field. Today's science and technology must bring great challenges and changes to the future, and we must make a forward-looking judgment.
Audience: I would like to ask Lidar how to deal with and respond to extreme weather or extreme conditions, such as how to get it when it is overwhelming.
Michael Jellen: This problem is also very good. When we Lidar is unable to judge the extremely bad extreme weather and people's eyes, it may be our limit. Let's talk about, for example, heavy snow, the visibility you see. If the distance is only 5 meters or more, or if there is heavy fog and dense fog, this 5 meters may be the limit for LiDAR. For LiDAR, whether there are obstacles in front of it or not, it may have some reaction. Of course, I wouldn't recommend that you drive at high speeds. For example, when extreme weather is extremely bad, you have to slow down. Slow down, this is my suggestion. In normal rain, snow, or fog, LiDAR is much better than a camera or other technology. The reason is that we can judge based on this speed, because everyone knows that, for example, when you come down from a raindrop, the speed of rain is even. However, LiDAR is based on the principle of optics. The exact speed of light is very many times that of rain. Relatively speaking, this rain is like a static one point, so it is very good for LiDAR system to analyze. In addition, we also have very good returns. For example, we can see through the rain and the pool, but the camera can't see it. Besides, we jump out of the rain to see the light outside the raindrops for radar reflection. So the radar is sensitive to many times, but if there is something in front of it, it cannot be seen, but LiDAR can penetrate, and you can see something blocked.
Guangzhou Ehang Electronic Co., Ltd. , https://www.ehangmobile.com