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It has always been human nature to let go. Since 1886, when German Karl Benz built the world's first three-wheeled car, people's imagination of self-driving cars has never stopped.
In 1969, concepts such as "the will of the owner" and "the ability of the car to drive itself" appeared in the movie "The Almighty Golden Turtle Car". In 1994, the self-driving car Explorer also appeared in the movie Jurassic Park. In 2000, the smart car KITT in the movie "Thunderbolt Ranger" gave a specific imagination to the black technology of autonomous driving through automatic deformation and color change.
Today, intelligence has swept the automotive industry, and autonomous driving-related technologies are also being introduced. From Tesla to many new forces, they all have plans and technologies for self-driving.
However, at the 3rd Changan Automotive Technology Ecological Conference, the new car Changan Qiyuan CD701 is like a "model robot", showing functions such as automatic entry and exit of the warehouse, automatic finding of charging piles for charging, and automatic pulling of cars. weapons, etc.", which still amazes the outside world to this day. The arrival of Changan Qiyuan CD701 has once again raised the intelligence of the car to a new height, allowing the autonomous driving imagination depicted in the movie to be partially mass-produced.
Because Changan Qiyuan CD701 has the ability of self-learning and independent development based on device-cloud integration. In other words, traditional cars are functional machines, while Kaiyuan CD701 is an intelligent machine that can learn and evolve. "Vehicle-end" and "cloud" complement each other through forward and backward data and computing capabilities, and combine OTA technology to achieve continuous iteration of functions and continuous optimization of experience, so that the smarter the car, the smarter it gets. Ride it, the more you use it, the better it will be.
For example, when we drive to work, CD701 can learn our traffic environment, commuting routes, driving habits and emotions, etc., help us automatically adjust driving modes, driving routes, air conditioning temperature, parking location, and automatically develop memories. Driving and memory parking services. It could even be like the scene demonstrated at the press conference: when the people in the car get out of the car to watch the sunrise, drive themselves and look for smart charging piles.
Of course, if you want to become an intelligent machine that can learn and evolve, you must have the support of strong hardware + software. Changan Automobile built the SDA platform architecture and gave the new car CD701 three functions through software: "intelligent brain", "intelligent body" and "intelligent server". Any capability requires sufficient professional R&D manpower, powerful computing power, massive data collection, scene collection, etc.
Take CD701 Commuting Self-Study Evolution as an example. The car must be able to learn the user's route from home to work, and then optimize driving patterns, driving routes, air conditioning temperature, etc. Behind the CD701's ability to learn commuting routes is a self-learning navigation system that automatically learns maps. This requires Chang'an's deep understanding of cards.
At present, the R&D projects of Changan Automobile's entire autonomous driving team are divided into planning, control, decision-making, perception, positioning and mapping. About 70 of them are responsible for map development.
Some people may ask, there is a very advanced map development team in the market, and the R & D personnel are even more than Changan Automobile. Why focus on Changan Automobile's map development team here? Yan Kai, chief engineer of Changan Automobile's map development, answered this question with his own example.
Yan Kai joined Changan Automobile in early April last year. He has 17 years of experience as a card issuer. The biggest motivation for him to come to Changan Automobile is that "maps can be close to applications and data collection applications". Yan Kai said, "The best way to mass-produce autonomous driving is for car companies to do it." ”
Compared with map manufacturers, Changan Automobile places map research and development under the autonomous driving segment, which allows map developers to gain insight into how to better apply maps to autonomous driving systems in vehicles.
Technology development based on mass production and application is Changan Automobile's thinking in the field of autonomous driving. Yan Kai said that Changan Automobile's autonomous driving does not pursue unrealistic goals, nor does it want to become the "first" in the field. On the contrary, it can actually be implemented in cars, in places that users care, with truly intelligent technology to bring change to users.
In the author's opinion, when it comes to many leading technologies released at the Chang'an Ecological Conference, such as the "UNIBrain Super Brain Central Computing Platform" and "BEV Sensing" with a computing power of more than 1000Tops. Algorithms that can perform at least 1,500 perceptions per second "Although many other technologies are the foundation of Changan Automobile's digital intelligent vehicle era, Changan's original intention is to apply and mass production, that is, pragmatic technological development.
On the other hand, the R&D department of Changan Automobile Map is located in the Changan Science and Technology Enterprise Park, which was just opened at the end of last year. There are more than 3,000 people in this park, specializing in the development of new cars. Its mission and vision are fundamentally different from the nearby Chang'an Global R&D Center.
This is also the embodiment of Changan Automobile's digital and intelligent transformation, and it is also the underlying logic behind the creation of new cars: technology research and development is not a supplement to the original system, and the new car is not to add certain functions to traditional cars, but to completely break and use them. Digitalization is redefining the logic of car manufacturing, allowing cars to learn and evolve on their own.
Yan Kai and his map development team are currently researching how to let cars learn more scenarios with less data; How to simplify high-precision maps step by step, that is, create a map that is "deliberately heavy and light". The "map" model reduces the dependence on maps and serves the development of autonomous driving. Yan Kai introduced Changan Automobile's current advantages in map development. On the one hand, there is currently no universal definition of lightmaps. Every car company has a different definition. But the map developed by Changan Automobile can pass. The driving force of the application is defined according to the rhythm of the gradual landing and release of Changan Guangtu, which is more in line with the development of Changan Automobile's autonomous driving.
On the other hand, Changan Automobile's mass-produced vehicle data can be used to develop maps. That is, card development is automated, and ultimately the entire card making process is 100% automated. Yan Kai popularly explained that the data generated by Changan Automobile's mass-produced vehicles can be transmitted back immediately, and map scenes can be generated without human intervention.
In fact, people who study technology are rigorous, they are used to talking with data, and they are obsessed with the field they study. It is precisely for this reason that when Yan Kai talks to us, there are many professional terms. In Yan Kai's eyes, the new car is also a data collector, which provides more material for them to solve scene problems.
Isn't that what a new car is defined? It's not just a car, it's an open automotive ecosystem. For users, the new car will have "connected hardware, programmable scenarios, on-demand ecology and self-evolving systems." These data-obsessed R&D workers, in turn, use new cars to explore a technology area that can better serve humanity and is worth implementing.
In fact, the focus of engineers on R&D is more impressive than data. Judging from Yan Kai's description, it is not difficult to see that the engineers of Changan Automobile have a heart to "look up at the starry sky" and are more down-to-earth in their work. Only with the ability to resist loneliness can this complex digital car become easier and simpler.
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