[Netease smart news October 13 news] car manufacturer Cadillac made a few new things with the laser radar. Instead of simply installing locators on the car, they use sensors to map the U.S. and Canada freeway maps and use their semi-automated super-cruise feature to draw patterns. This move seems to be very bold, but in fact, this is the first way for autonomous vehicles to enter the market.
To achieve full autonomous driving depends on the development of government regulations, sensors, high-performance computers, and maps. Safety is the basis of most motor vehicle laws, and it is becoming more and more important to implement uniform federal regulations on these vehicles (instead of having different laws in different states).
As sensor prices drop and their accuracy increases, the ability to process data becomes more powerful. Maps are the key to achieving proper navigation, whether on city roads or alleys. Therefore, Cadillac is the first car manufacturer to use high-definition lidar maps, but it certainly will not be the last one.
Almost every car with some kind of semi-automatic function uses a map to help it keep its route. Tesla has its own community source information, and Mercedes-Benz uses the Here map to help determine the appropriate speed at which the turn will be traveling.
Of course, these maps will be very detailed, as used by Cadillac, to make automatic taxis a reality. The Lidar map used by Super Cruise is stored in the trunk of the Cadillac CT6 and its measurement error is within 10 cm. Based on the car's driving trajectory, it can scan the distance of 2,500 meters in front of the car in advance and pass the road information to the computer to determine if the semi-automatic function should continue to be used or whether the driver should take over driving.
When Uber and Lyft put real autopilot taxis on the streets of the city or launch their automatic bus fleets, they need the ability to have locally stored maps such as the CT6 to ensure their cars are in the metropolis. Travel on a complex road in the area.
The vehicle needs to store these road data in the car itself, and it needs to be updated every day, every hour or even every few seconds. This is because passengers will not be happy if the car suddenly stops traveling because of a lost network connection.
Even with all the data and sensors on the first self-driving car, the automatic taxi will certainly be affected during the journey. These cars travel along a predetermined "route" to reduce the chance of accidents. Maybe they will deviate slightly from the route to carry passengers, but if you are not within the driving range, you may need to walk near an automatic taxi. The technology of automatic driving car service has been developed at least on the chip level.
Nvidia released Drive PX Pegasus, the world’s first artificial intelligence automated driving platform, to bring Level 5 self-driving cars (fully-automated cars) to market as soon as possible. According to Danny Shapiro, the company's senior director of the car, these cars will also record maps while driving. This is part of the development of automatic taxis, but this situation will not last long.
In the future, thanks to the development of Cadillac automotive technology, cars can learn while driving. The sensor will receive more data and transmit it via a more powerful computer. The level of detail added to the map will increase exponentially. In addition, if more manufacturers adopt this technology, all of our cars will begin to consider how to make more informed decisions based on what they have encountered in the road and simulation process.
But for now, Cadillac's luxury car CT6 with Lidar will help autopilot cars on all roads, not just highways. In the first few years, however, you may need to walk a few blocks to find an automatic taxi.
(Selected from: Engadget compilation: NetEase See Compilation Robot Review: Rain Egg)
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