Both Waymo and Tesla are committed to the development of self-drive technology. The biggest difference between the two is Waymo's use of a newer optical technology, but Tesla holds a large amount of road data. Waymo is mainly computer simulation data. NVIDIA is also a competitor to be observed. The system provides opportunities for small companies that do not have sufficient resources to invest in self-driving development. In the future, it may become an industry standard and lead the market. According to CleanTechnica, Tesla and Waymo have not yet reached a conclusion as to who will win or lose in this self-drive technology war; NVIDIA has reduced the barriers to entry for small companies that don't have the money or the time to design their own systems. Automakers can buy their own car systems directly. This will allow NVIDIA's systems to become the industry standard in the future. NVIDIA sells its own car to many companies including Tesla. System. In March, NVIDIA began selling the DRIVE Constellation simulation system, which can simulate dangerous situations that the driver may face, such as different weather, light, and road conditions. It verifies the performance of autonomous driving technology around the clock, requiring huge data and accurate data processing. Technical Support. Tesla issued in October 2016 The first-generation Autopilot sensor system, since then Tesla has continuously searched for information from every car produced by the company. So far it has accumulated about 5 billion miles of data. Compared with Tesla, Waymo's system is even more dependent on computer simulations. Nearly 6 billion miles of simulated driving data have been accumulated. Is it true that the data collected by real road driving or computer simulation is better? The former is obviously more indispensable. RAND's senior information scientist said during an interview that the number of self-driving cars must pass. Billions, and even hundreds of billions of miles of driving, are enough to prove its safety. Computer simulation is important, but the information collected in the real world is irreplaceable. Ultimately, AV technology must prove that it is safer than human drivers in order to gain market comprehensiveness. Sexual Acceptance. Tesla and Waymo have their own advantages and disadvantages. Tesla continuously collects measured driving data through the Autopilot system. Waymo uses Guangda to create a digital map of the vehicle's surroundings. Autopilot also has a competitive advantage, the Waymo system. Based on the defined geographical area, about 25,000 vehicles are transported in this area each day, so the accumulated data is only limited. In these areas, Waymo plans to expand the fleet of autonomous vehicles in the near future, from the current expansion of hundreds of vehicles to tens of thousands of vehicles, which will expand the way that Waymo collects driving data outside the restricted area. After all, Tesla and Waymo have chosen the best development direction. The co-host of Carnegie Mellon University’s Autopilot Research Laboratory is not optimistic about Tesla, and believes that Tesla’s failure to follow up on adopting Everbright will be extremely disadvantageous, and points out that Tesla’s current technology is far from fully automated driving. There is still some distance. Although Waymo has the most advanced technology in the industry, but Tesla holds a large amount of data can not be underestimated. As in the past video format standard wars, the technology is better than those who eventually but because of the cost is too high to be market Retirement. This case brings to Tesla and Waymo a lesson. Their self-driving technology may be better than NVIDIA, but NVIDIA's model may become the industry standard and lead the market.
