The different trade offs between functional safety and autonomous driving have become a natural gap

Summary. Hello, first of all, the so-called autonomous driving technology is mainly through the cooperation of artificial intelligence, vehicle radar, monitoring and positioning systems to judge the road surface information, and then the safe operation of autonomous vehicles. Many automakers are using autonomous driving technology as a major selling point.

At present, there are many models equipped with this technology other than Tesla, but most of the autonomous driving technology can only reach L1-L2. Level 1 driving mainly includes some auxiliary driving functions, such as cruise control and lane keeping, while Level 2 functions are more comprehensive, including hazard prediction and some driving assistance functions. Even Tesla, at present, can only reach the level of L3, and can only achieve fully automated driving under normal road sections, but in some emergencies or relatively complex road conditions, manual driving is still required.

In other words, the road conditions that Tesla's self-driving technology can apply are very limited.

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Hello, first of all, the so-called autonomous driving technology is mainly through the cooperation of artificial intelligence, vehicle radar, monitoring and positioning systems to judge the road surface information, and then the safe operation of autonomous vehicles. Many car companies regard autonomous driving technology as a major selling point. At present, there are many models equipped with this technology other than Tesla, but most of the autonomous driving technology can only reach L1-L2.

Level 1 driving mainly includes some auxiliary driving functions, such as cruise control and lane keeping, while Level 2 functions are more comprehensive, including hazard prediction and some driving assistance functions. Even Tesla, at present, can only reach the level of L3, and can only achieve fully automated driving under normal road sections, but in some emergencies or in the case of relatively complex road conditions, it is still necessary to manually carry out slag driving. In other words, the road conditions that Tesla's self-driving technology can be applied to are very limited.

As we all know, lidar has always been a hot topic for autonomous driverless car research, but Tesla has gone the opposite way and focused more on camera-based vision processing technology.

According to foreign media reports, Tesla announced on Tuesday that some Tesla vehicles in the North American market will abandon radar technology and instead use camera-based vision processing technology to assist the automatic driving system.

According to Tesla,Autopilot is continuing to shift towards camera-based Tesla Vision vision processing. Beginning with deliveries in May 2021, Model 3 and Model Y vehicles manufactured for the North American market will no longer be equipped with radar.

These vehicles will also be the first vehicles to rely on cameras' visual neural network processing technology to assist with Autopilot and FSD (Full Self-Driving) and other active safety features.

However, during the transition period, vehicles with Tesla Vision may have some features restricted, including:The autosteer will be limited to a maximum speed of 75 mph (about 120 km/h) and a longer minimum following distance; Disable the Smart Summoning and Emergency Lane Departure Avoidance features.

However, these restricted features are expected to be restored in the coming weeks via OTA software upgrades.

All new Model S and Model X vehicles, as well as all other vehicles manufactured for markets outside of North America, will continue to be equipped with radar systems to assist with autonomous driving functions.

It is reported that Tesla Vision visual processing is a visual processing tool developed by Tesla. Based on deep neural networks, Tesla Vision can perform professional deconstruction analysis of the driving environment, which is more reliable than Liang Xi's traditional vision processing technology.

The average "human driver has a major motor vehicle accident approximately every 10 years, or about 100-150k miles driven." Self-driving cars have been driving hundreds of thousands of miles on public roads, and there have been no reports of accidents caused by driving software. On the face of it, this seems to indicate that driverless cars are safer than drivers.

Given that most accidents are caused by drivers who are 1) impaired, 2) distracted, or 3) inexperienced, even if it turns out to be worse than a sober, focused adult driver, computers can be safer through sheer consistency. The computer will not get drunk, will not sleep, will not hit **, will not eat chili dogs, and will not be preempted.

Unfortunately, car accidents are very rare, and unless you gather millions of drivers, it's hard to study them rigorously – there is a big difference in skill and luck. Many human drivers have zero accidents in their lifetimes (more than 500,000 mountain sail miles), and many have accidents every few years. It seems likely that self-driving cars will be closer to the former than the latter, but there is not enough data to say for sure.

What we do know is that self-driving cars are tested and reviewed millions of times more thoroughly than a 16-year-old taking a driving test. Come to think of it, the threshold set by our society for a person to drive a 2-ton death machine is really low.

Pacific Auto Network relies on artificial intelligence, machine learning, visual computing, radar, surveillance devices and global positioning systems to work together to allow computers to operate motor vehicles automatically and safely without any active human intervention. Self-driving cars, also known as driverless cars, are intelligent vehicles that realize unmanned driving through computer systems.

Artificial intelligence is a branch of computer science that seeks to understand the essence of intelligence and produce a new kind of intelligent machine that can react in a similar way to human intelligence, including robotics, language recognition, image recognition, natural language processing, and expert systems. Artificial intelligence can simulate the information process of human consciousness and thinking, and can think like a human being, and may also surpass human intelligence.

Self-driving cars, also known as driverless cars, are intelligent vehicles that realize unmanned driving through computer systems. Self-driving cars rely on artificial intelligence, machine learning, visual computing, radar, surveillance devices, and global positioning systems to work together to allow computers to operate motor vehicles automatically and safely without any active human intervention. The often heard Tesla cars and Google cars are self-driving cars.

Machine learning is the process of having a machine automatically learn its rules and rhythms from a large number of sample data in Kibi, and according to the learned rules, the data is unknown. The goal of machine learning is to discover hidden patterns in the data so that the unknown can be realized. This process is achieved through learning, and the materials used for learning are big data.

Voddad Software uses artificial intelligence to analyze, explore and develop trends, and based on past changes, future trends. Through classic machine learning algorithms, we provide customers with intelligent applications, including: frequent pattern mining, clustering, classification, recommendation engine (to obtain user behavior and discover what users might like), frequent child mining (to use a set of items, such as query records and shopping catalogs, to identify items that often appear together).

Photo by Pacific Automobile Network Q&A).

No matter how the automotive industry develops, there is no denying the fact that it is a service project for people. With the rapid development of the automotive industry in so many years, let's briefly look forward to the future and the trend of the future development trend of the automotive industry.

Appearance: In the future, cars equipped with driverless technology should be more sci-fi, more concise, and more with the new technology of the times. Sleek and smooth lines, hidden headlights, A-B C-pillar fading, and one-piece body structure and light weight are all the direction of future development.

Today's promising concept sports cars are also basic mass-produced substances.

The interior of the car is cautious and cautious

In the future, compared with the current car interior, the car interior should be wide in addition to the touch console (maybe it should not be called the center console) operation panel, basically there will never be some other role in the operation panel, when you want to convert the manual driving situation, you must only change through the intelligent voice system, and then the hidden car steering wheel, gear switch button, accelerator and brake can be popped up, convenient for the driver to carry out the operation.

Role level: The current key technologies of basic fingerprint recognition and facial recognition are not mentioned. The vehicle intelligent voice recognition automatic control system includes module operation, navigation route selection, engine temperature control, etc.

The entire journey information during the drive may be displayed in the driver's line of sight in the form of a 3D3D holographic projection.

Body structure: <>

Intelligent System Software:

To use a previous sentence to describe "a smartphone with four wheels", it is not only the intelligent interaction of the car's functions, but also the high-quality life experience, convenient news and information. The smart seat will perform body scans and health check-ups for employees in the car, and can provide early warning information at any time.

The first point is that the car will have many functions, for example, it is very magical to be able to drive autonomously, the second point is that the entire design of the car will be more and more fashionable and more atmospheric, and the third point is that the whole car will be designed to be more complete and beautiful, and the functions are not always complete.

That may happen if you can still rest in the Jianhui car, and then you don't have to be told that you are tired driving or something. You may also be able to give you a massage.

It will definitely wake up the new air conditioner automatically, and it will automatically adjust the seats and allow us to rest inside

First of all, he might be able to make your chair lie down slowly, so that you can sleep in it, and he will be able to play you songs.

Nowadays, some cars have autonomous driving capabilities, butSafety on the road is still not guaranteedThis means that the autonomous driving function will remain a gimmick for a long time. <>

The autonomous driving function is a hot topic in the automotive industry in recent years, after all, the automatic driving of cars is involvedArtificial intelligenceproblems. A car company needs to master the autonomous driving function, and it must develop the corresponding AI technology in the early stage, and at the same time, it must also train its own AI robots through road tests, but most companies have not trained the robot to a relatively smart degree, and the general enterprise will also hastily train the function to commercialize, which is the inherent defect of the autonomous driving function. <>

Some cars have self-driving capabilities, in factSecurity isn't great eitherAfter all, as I said earlier, this involves problems in the field of artificial intelligence, but the inherent flaws in the process of investment will make this technology itself not so safe; At the same time, so is the autopilot functionNot permitted by lawAt least at the moment, there is no law that allows autonomous driving. Some time ago, we also saw the news that someone used the autopilot function and had a car accident, which tells us that the autopilot function is not so miraculous. <>

The emergence of a new feature needs to be slowly accepted, but this acceptance is based on the trend that the technology has gradually improved, and if the technology is not perfected and placed in the commercial market, this itself has great danger. At the same time, if the law does not allow the existence of such a function, then the existence of such a function can onlyAsDriver assistance featuresThe assisted driving function often cannot play a leading role, which should be helpful for the owner to drive. Of course, we can't kill the use of the automatic driving function with a stick, after all, this kind of function can only be used better and better if it is put into use and gradually improved.

In summary,Although some cars now have self-driving functions, because this self-driving function is not so perfect, this function is still more gimmick than practical.

The safety of the car can still be guaranteed. When the car is equipped with autonomous driving functions, the driver can free his hands and legs.

Compared with traditional self-driving cars, self-driving cars not only change driving behavior, but also change the standards and dimensions of vehicle safety and risk management. From this point of view, there is no universal answer to the question of which is safer, self-driving or self-driving. Due to the different safety standards and risk dimensions of the segments, there are huge differences in different safety or file indicators, and they cannot be generalized.

It can be seen that in the face of the challenges and problems of intellectual development, we can not only use existing standards and concepts to deal with them, but also actively learn, experience, and establish new cognitive and action strategies.