How far is the popularity of autonomous driving?

The maturity will be completed quickly, and the popularization may be a little slower, and the so-called popularization is mainly solved by the hardware cost problem.

Wireless networks, lasers, radars, and visual AI analysis are already in place, and autonomous driving is bound to succeed.

In the future, the network will be optimized to form a private network, which solves the rapid cost reduction of lidar miniaturization, and the visual AI analysis is completed, and the success and trend of autonomous driving are inevitable.

Autonomous driving in ordinary scenarios has been relatively perfect, and the main difficulties at present lie in some corner cases. In the absence of qualitative changes in technology, how to deal with corner cases is the main problem we are currently facing. The more scenarios the autonomous driving test vehicle encounters in the real road environment, the more complete the algorithm and model will be, and it will slowly approach the highest crown of autonomous driving through continuous iteration.

Whether rule-based or model-based, it is not possible to guarantee that all scenarios, especially extreme ones, will be addressed. Why can humans cope with extreme scenarios? Because humans can learn and reason, that's it"My life has an end, and there is no end to knowledge"Through learning and reasoning, humans can adapt to a large number of previously unseen scenarios.

In the short term, artificial intelligence cannot reach the ability of learning and reasoning for the time being, and it is simply close to the various scenarios encountered before, that is, data-driven.

However, the road to test data accumulation is long, which is also the reason why autonomous driving with vehicle-road collaboration or vehicle-road cloud-network integration has recently begun to be hotly discussed in the autonomous driving circle. Use smart roads and powerful clouds to play with smart cars to ensure the safety of vehicle perception and decision-making in the corner case.

Perhaps under the guidance of the transportation power and the top-level planning of smart transportation, the popularization of autonomous driving is just around the corner.

Autonomous driving technology is now at the L2 level, because the level of autonomous driving technology is differentiated by levels, which are L0 to L5.

With the rapid development of science and technology, China's autonomous driving technology is currently at the L2 level, and there are still many places that need to be improved in the future. For example, safety issues such as safety performance and priority road selection need to be better addressed.

However, I believe that in the future, autonomous driving technology will be realized and popularized in people's lives. <>

First, autonomous driving technology is now at the L2 level.

There are six levels of autonomous driving, and we are still at Level 2. And this level needs to complete some driving tasks, must maintain a high level of attention, can be adjusted at any time, and needs to be reached in limited scenarios, so there will be some safety problems, which need to be better solved, so now autonomous driving technology is now at the L2 level. <>

2. What are the problems of autonomous driving technology?

The migration effect of autonomous driving technology is not stable enough. If they are distributed in the same location, the effect may be better. On the contrary, if they are not distributed in the same location, they cannot be better controlled; Autonomous driving technology is also less flexible.

For example, in traffic roads, traffic surfaces are dynamic, and when autonomous driving technology is put on the road, autonomous driving technology will be overwhelmed, which will affect safety issues. Therefore, we still need to keep trying and accumulating experience to better improve and solve problems. <>

3. The development prospect of autonomous driving technology.

In life, there will be problems such as traffic congestion, safe driving, air pollution, etc., and if autonomous driving technology can achieve these problems, the future development prospects are still very good. However, now autonomous driving needs more time to develop and develop, because of the sensing hardware and chips of the vehicle, we should continue to learn, continue to trial and error, and continue to accumulate experience, I believe that in the future, autonomous driving technology will bring more convenience to people's lives.

Autonomous driving technology is now at the level of research and development, and since it is still in the stage of exploration and innovation, safety and functionality need to be improved.

I think the current level is low, and many people don't believe in autonomous driving technology, and this technology is not mature.

Autonomous driving technology is still at a low level, because it has not yet been fully rolled out, and there are many dangers.

1.In standard situations such as highways and highways, autonomous driving will gradually become the mainstream. However, problems such as the correct failure of autonomous vehicles, incomplete road traffic signs, and traffic accidents also need to be gradually solved to ensure driving safety.

2.In special circumstances, such as bad weather, road congestion, major facility construction projects, etc., where it is not possible to adapt to autonomous driving, the driver's driving skills are still necessary.

3.At present, autonomous driving is limited to the real-time traffic and traffic per unit time (such as highways, urban expressways, etc.), while in other driving scenarios, such as highways, rural areas and other special driving scenarios, the autonomous driving ability is poor, or more complex driving environment equipment and tools are required.

In general, although autonomous driving technology has improved driving safety and efficiency, it still requires human intervention for driving in some situations. In the future, autonomous driving technology and manual driving technology will assist drivers to complete transportation tasks, optimize human drivers and vehicle dispatching systems, traffic construction, safety management and other applications including collaborative scheduling. Qu Daokui, a member of the Decisive Leaders Think Tank, pointed out that high-quality, automated, networked, and intelligent services will continue to emerge in the field of transportation, rather than "unmanned", so as to realize the upgrading and transformation of the transportation industry.

I think the development of autonomous driving technology will have a certain impact on the driver profession, but it will take time to completely eliminate drivers.

Much progress has been made in the development of autonomous driving technology, and more and more automakers and technology companies are developing autonomous driving technology, and have begun to test and apply it in some regions. The advantages of autonomous driving technology are that it can improve driving safety, reduce traffic accidents, and improve traffic efficiency, so it may gradually replace some scenarios that require manual driving in the future, such as public transportation, logistics and distribution.

However, the development of autonomous driving technology will take time, and there are still some problems in the current autonomous driving technology, such as the ability to recognize and respond to complex traffic environments, and the recognition of road signs and traffic signals. In addition, the popularization of autonomous driving technology also needs to address some legal and ethical issues, such as the attribution of responsibility in the event of a traffic accident with an autonomous vehicle.

Therefore, I believe that the development of autonomous driving technology will have a certain impact on the driver profession, but it will take time to completely eliminate drivers. In the future, autonomous driving technology and manual driving technology may coexist, and the driver profession may also develop in a more high-end direction, such as professional autonomous driving technology maintenance and management.