The most popular word in today’s science and technology circle is “artificial intelligence”, As Robin Lee said at this year’s World Conference on Artificial Intelligence, “AI will undoubtedly affect the process of human development in the next 40 years. This force is accumulating today. In transportation, finance, industry, energy and other industries, the application of AI technology has given the industry new ideas and solutions for digital upgrading, and has even begun to reshape the face of the entire industry, thus affecting the future of human society.”
The time limit for the next 40 years is still relatively broad, but we have felt that AI has had a certain impact on our lives. For example, browsers will recommend relevant articles according to different people’s reading preferences; The shopping platform will also display the goods you are interested in through your shopping habits; When staying in the hotel, robots will come to the hotel to bring the guests what they need.
In the field of automobile intelligence technology, AI gives the car a “soul”. In the era without AI, the car is just a cold travel tool. The addition of artificial intelligence technology makes cars become “flesh and blood” partners around the owners. Intelligent cars can act independently and communicate with the owners in a timely manner. They have the ability to learn deeply, so that their cars can understand you more and more. If the current level of automatic driving is still at L2 level, Baidu’s “auto robot” Apollo showed us the L5 level of automatic driving experience, overturning everyone’s perception.
Similarly, the AI Day event held by Tesla in the United States this month also brought an unprecedented technological feast. Tesla expects that in the future, cars will have a neural network connection similar to the visual cortex of animals, which can simulate the process of brain information input and output. Through eight cameras surrounding the vehicle body and covering 360 ° around, the system obtains the surrounding information such as traffic lights, signal signs, ramps, curbs, etc. with the help of artificial intelligence. The system analyzes the video frames frame by frame to understand the depth, speed and other information of the object, and then submits these data to the team for learning. Finally, the road condition information is presented in the form of “road network” to help the vehicle grasp the driving environment and find the best driving path more accurately.
Through the independent learning of AI and the information screening of big data, the level of auto driving in the future is bound to make a comprehensive leap. The blueprint for the future is particularly beautiful, but at present automatic driving is still in a growing period, technology research and development needs to be improved, and traffic safety laws and regulations need to be improved. The auto drive system cannot be fully blamed for such a heated auto driving accident on the network. After all, it is very important to ensure the driver’s monitoring of the vehicle when the highest level of automatic driving of existing mass production vehicles is only L2. The tragedy caused by this accident is that the driver Mr. Lin Wenqin over trusted the auto drive system of the vehicle, which eventually led to tragedy.
The vehicle accident of Weilai was that the Weilai ES8 driven by Lin Wenqin rear-ended the rear side of the truck “under construction” in the same lane ahead, which also showed that the millimeter wave radar had defects in recognizing static objects. In other words, the current L2 level auxiliary driving vehicles on the market can only rely on the driver to take active measures to deal with irregular stationary objects in front of them when they are driving at high speed.
In addition to Weilai Automobile, Tesla has also had many accidents caused by automatic driving, which is also caused by the identification error of automatic driving assistance system. In the final analysis, in order to truly realize the maneuverability of automatic driving, we must consider the overall situation in many aspects. With the help of big data, data can be continuously enriched and accurate, so as to achieve greater standardization of technical capabilities. But at the same time, a large number of auxiliary factors should also be considered comprehensively, which involves other factors in the driving environment, including road conditions, weather factors, emergencies, etc., which cannot be defined by standardization. From this point of view, to fully implement automatic driving, it is still necessary to conduct a large number of offline simulation tests, improve the functions of the auto drive system, repeatedly test various road conditions in different weather conditions, and improve the technical integrity of the auto drive system. Therefore, it will take a long time to fully realize automatic driving.
However, behind any technological progress, there will be resistance, even sacrifice. The Weilai car accident is to give us a clear understanding of the current automatic driving, and to warn us that people are still the main body of driving. However, we should not be coerced by the impact of this incident, resulting in the situation of giving up eating because of choking. The pace of technology is still moving forward, and the road ahead is still long. We still can’t imagine what the world will be like at the moment when automatic driving is really realized, just as the ancients can’t imagine our current digital life. As we mentioned above, the realization and landing of automatic driving should go through the repeated tempering of complex road conditions, and also need the improvement of road construction and laws and regulations. Although the highest level of automatic driving L5 is still far away from us, as long as human beings continue to pursue science and technology, we believe that one day automatic driving will turn from “science fiction” to reality.