[Automatic driving companies are not bad money, but can they really compete with the giants? From a literal point of view, the word auto (Auto) implies the meaning of automation. Therefore, moving to autopilot is also a matter of course. Although it may take a long time to fully popularize full-automatic driving around the world, companies have long been gearing up for the future. Of course, if you want to completely change the face of traffic is a business that requires a lot of money, in order to achieve its own grand goals, companies either have an inexhaustible large gold owner behind them or they have to run to find venture capital. money. To say “crazy financing,†the most recent one is Shenzhen’s Roadstar.ai, which received US$128 million in Series A financing. This kind of smooth and large-scale financing, such as chopping up vegetables and foods, makes one wonder whether the industry still has the money to get a soft-handled auto-pilot start-up company. In short answer, it is not as much as you think. After making an inventory of independent start-up companies that have raised more than 50 million U.S. dollars, you will find that the lucky ones who take off from the autopilot population can be roughly divided into two categories: The first category is sensor technology. Their products will be integrated into the autopilot system in the future; the other category is companies that do "full stack" software and hardware. Their job is to integrate sensors, machine learning software, and control mechanisms into an integrated autopilot system. Full-stack self-driving car company The company in the figure below is the leader in the full stack classification. The chart shows their main areas of attack, headquarters address, and financing amount. Funding is ranked first by the self-drive taxi service provider Zoox. They have obtained 290 million U.S. dollars in investment. It should be noted that although they all fall under the category of the full stack, the main attack direction is not exactly the same. Generally speaking, these companies will focus on creating a broader technical platform. The future profit model is generally to sell or license the technology to automakers, or simply to personally go into battle to set up a fleet to operate autonomous taxi business or other transportation. service items. Create "eyes" and "ears" for automatic driving Sensors in this subdivided field also have their own industry trends. From the figure below, we can summarize one or two, that is, everyone is basically concentrated in one direction. Fundamentally, the ability to raise large amounts of money from the venture capitalists is studying LiDAR technology, which acts as an “eye†in the autopilot system. Character. The $115 million CYNGN is merging different sensors (including LiDAR) into its own hardware array and software tools. Most of the company's team members are from Android ROM developer Cyanogen. Of course, everyone did not do LiDAR in one go. Nauto is now doing smart driving recorder, it can record the map data and detect whether the driver is distracted when driving; Autotalk company specializes in special short-range communication technology (Dsrc), to prepare for the upcoming V2V era; Commou founded by GeorgeHotz .ai, with an open-source driving recorder, got a $5 million Series A round of financing. Unlike some of the above-mentioned full-stack companies, many sensor companies have already taken the line with the auto giants. For example, Quanergy already has Delphi, Jaguar, Mercedes-Benz, Hyundai, Renault-Nissan and other heavyweight partners and investors, Innoviz's solid-state LiDAR technology has been seen by BMW. Although radar and LiDAR are not new, various manufacturers are still innovating. OryxVision's "Coherent Light Radar" system is a combination of radar and LiDAR technology. It uses laser light to illuminate the front road, and it can receive the reflected radar waves like radar, instead of LiDAR's light particles. Compared with a single radar or LiDAR, this hybrid technology can provide higher resolution sensing capabilities and farther detection distances. Can a new startup that is not bad enough to win? Unlike the above-mentioned startup companies that rely on venture capital, many autopilot companies are backed by big money giants. The best example is Waymo, which is backed by the big tree of Alphabet (Google parent company). Money is not a problem at all. Equally not bad is Uber’s autonomous driving team. Although they have not done anything recently, they are still a force that the autopilot industry cannot ignore. Tesla has never stopped in autopilot. Their vehicles have popularized the Autopilot assisted driving technology. However, accidents have occurred recently. Elon Musk's disdain for LiDAR has also been puzzled by the outside world. Another tech giant who is involved in the auto-pilot industry is Apple. Although they are slow, they are also moving in an orderly manner. As for Chinese giants Baidu and Didi, they have also created their own full-stack R&D center in Silicon Valley. Traditional manufacturers are not willing to be replaced. In 2016, General Motors took a billion dollars to incorporate Cruise into the company; another American giant, Ford, was not far behind. They spent $1 billion to become ArgoAI's major shareholder. The scene of the autopilot industry can not help but start to think about a problem: with the giants in the Central Plains start-up companies really have the opportunity to "reconstruction" to subvert the entire market, or survive this competition it? Perhaps there is a glimmer of hope. The reason is also very simple. The potential of the automated driving market is too great. In addition to the annual sales of more than 80 million vehicles (2018 estimated sales), as well as the user’s personal time released by automatic driving, it is absolutely profitable to write articles around this gold mine. In other words, the cake provided by the automatic driving technology is enough for everyone to eat a meal, otherwise how could so many investors be willing to spread real money to start-up companies?
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