The time node is September 2023, and the validity period is current and past, excluding the future.
In recent years, to be exact, I have been paying close attention to the autonomous driving industry, including logistics/robots/cars, etc. since 2010.
I also had a lot of exchanges with friends in and outside the industry. Bit by bit communication is placed in the following link:
Some views in the past may not be accurate. The authorities are delusional and believe in science and technology, but they must not be superstitious. Overcoming many difficulties, the dawn is in the future.
Whether an industry can usher in explosive development depends essentially on the four words " cost reduction and efficiency improvement " that I personally agree with.
Taking self-driving cars as an example, from the perspective of consumers, whether it is possible to achieve " cost reduction and efficiency increase ".
I personally think it's not okay at all. It's just my personal opinion. If you have different opinions, you are right.
This article assumes that autonomous driving has been fully realized, and is not the current actual road test results of autonomous driving.
The first one: cost reduction.
One of the core costs of food, clothing, housing and transportation is the purchase cost. Self-driving equipment costs money .
The second one: efficiency enhancement.
One of the core costs of transportation for food, clothing, housing and transportation is traffic efficiency. From northern Myanmar to Vietnam , the time required for self-driving cars and human-driven cars is about the same.
The core of all business logic must include " cost reduction and efficiency improvement ."
Breaking away from business logic, empty talk about the market and fantasy market means that science and technology can solve the problem of autonomous driving. Will consumers buy it?
AI also basically agrees:
Your point of view is very interesting. Let’s discuss whether self-driving cars can achieve “cost reduction and efficiency increase”.
First of all, from a consumer perspective, the purchase cost of self-driving cars is indeed higher than that of ordinary cars. Currently, most self-driving cars also require additional hardware and software to support their functionality, which increases the cost of manufacturing the vehicles. However, with the advancement of technology and large-scale production, the manufacturing cost of self-driving cars is expected to gradually decrease, thereby reducing the cost of purchasing a car for consumers.
Secondly, the traffic efficiency of autonomous vehicles is a complex issue. In some cases, self-driving cars may be more efficient than human-driven cars. For example, self-driving cars can avoid wasted time due to driver fatigue, distraction, or other factors. In addition, self-driving cars can control speed and travel time more precisely, thereby reducing congestion and improving road use efficiency.
However, at the current level of autonomous driving technology, there may not be much difference in traffic efficiency between autonomous vehicles and human-driven vehicles. Most self-driving cars still need to follow traffic rules and road signs, and require human intervention when encountering complex road conditions or emergencies. Therefore, self-driving cars may not be much more efficient than human-driven cars.
Of course, the development of autonomous driving technology is a long-term process that requires continuous technological research and development and testing. In this process, the manufacturing costs and traffic efficiency of autonomous vehicles will be further optimized and improved.
To sum up, I think it is possible for self-driving cars to achieve "cost reduction and efficiency improvement", but it will take a certain amount of time and technological progress. Whether consumers will buy self-driving cars also needs to consider other factors, such as safety, reliability, laws and regulations, etc.
Analysis of basic concepts of AI:
One of the cores of the market or business is to reduce costs and increase efficiency . In a highly competitive business environment, companies need to continuously optimize their business models, reduce costs, and improve efficiency to maintain competitive advantages and achieve sustainable development.
Reducing costs and increasing efficiency is one of the core issues in corporate management. By reviewing and optimizing operational processes, companies can identify and eliminate waste, thereby reducing costs. This may include reducing unnecessary expenses, optimizing supply chains, adopting energy-saving and environmentally friendly technologies and equipment, etc.
In addition, the key for enterprises to improve productivity and competitiveness is to increase efficiency. By introducing advanced technology and automation systems, companies can improve production efficiency and quality and reduce the waste of human resources. In addition, training and developing employees' skills and knowledge and establishing efficient communication and collaboration mechanisms can improve work efficiency.
Therefore, one of the cores of the market or business is to reduce costs and increase efficiency.
I won’t talk about the future in this article. After all, living well in the present is more important.
You mentioned, "Of course, the development of autonomous driving technology is a long-term process that requires continuous technological research and development and testing. In this process, the manufacturing cost and traffic efficiency of autonomous vehicles will be further optimized and improved." Then Can self-driving cars be faster than high-speed trains and airplanes? Or is the traffic efficiency higher than that of high-speed rail aircraft?
The traffic efficiency of autonomous vehicles and high-speed rail aircraft is different, and they have different characteristics and advantages.
High-speed trains and airplanes are high-speed means of transportation, and their greatest advantage is their ability to transport large amounts of people and goods quickly and over long distances. The operating speed of high-speed rail is usually 200-300 km/h, while the speed of airplanes is faster and can exceed 1,000 km/h. Therefore, when traveling long distances, high-speed rail and airplanes are often the faster options.
However, the advantage of self-driving cars is that they can provide more flexible and personalized transportation services. Self-driving cars can pick up and drop off passengers anytime and anywhere without the need for fixed tracks or routes, or complex scheduling and security procedures. In addition, self-driving cars can avoid accidents and delays caused by human factors, thereby improving the safety and reliability of transportation.
Therefore, the traffic efficiency of autonomous vehicles may not be as fast as high-speed trains and airplanes, but they can provide more convenient and personalized services, and have higher flexibility and convenience in urban transportation. In some specific scenarios, self-driving cars may be more suitable than high-speed rail and airplanes, such as commuting in cities, traveling, or delivering goods.
At present, short-distance travel, shared car or car rental services are saturated and can meet the demand well. What are the advantages of self-driving cars?
The advantage of autonomous vehicles is that they can provide more convenient, personalized, and safer transportation services. First of all, self-driving cars can pick up and drop off passengers anytime and anywhere without the need for complex scheduling and security procedures, making travel more flexible and convenient. Secondly, self-driving cars can avoid accidents and delays caused by human factors, improving traffic safety and reliability. In addition, self-driving cars can provide more personalized services, such as providing travel services for color-blind, elderly and disabled people who do not have the ability or rights to drive. Finally, self-driving cars can save time and energy because they can automate the task of driving, allowing people to engage in other activities along the way, such as work, rest, or entertainment.
Although car sharing and car rental services are relatively mature, self-driving cars still have their unique advantages. For example, self-driving cars can provide more personalized services, such as automatically adapting to the needs and preferences of different groups of people; at the same time, self-driving cars can achieve more intelligent traffic management, improve road usage efficiency, and reduce traffic congestion. In addition, self-driving cars can also provide a more environmentally friendly mode of transportation and reduce harmful vehicle exhaust emissions and air pollution.
Of course, the commercial application of autonomous vehicles will still require time and technological development. At present, the technical level of autonomous vehicles still needs to be continuously improved, and relevant regulations and standards also need to be continuously improved. However, with the continuous advancement of technology and the gradual maturity of commercial applications, self-driving cars will become one of the trends in future transportation.
Not all products that can be successfully launched can gain market recognition.
There is also a point to think about, without considering issues such as other macro regulations.
Considering just one commercial insurance policy, are there any insurance companies that currently provide insurance coverage for autonomous driving systems?
Yes, there are insurance companies that offer coverage for autonomous driving systems . For example, Nippon Loss Insurance cooperated with Tire4 company Tiya Chixing to launch Japan's first L4 autonomous driving system provider-specific insurance in May 2022. This insurance adopts a "subscription system", and the system provider can solve the problems of insurance and liability by purchasing members for a monthly fee.
It should be noted that specific insurance items and terms may vary by insurance company and region, so when choosing commercial insurance, it is recommended to read the insurance terms carefully to understand insurance coverage and liability exemptions. At the same time, it is also important to note that the development of autonomous driving technology and changes in relevant regulations may affect the applicability and premiums of insurance.
Are there other autonomous driving insurance cases? What models are covered?
In addition to the above-mentioned autonomous driving system insurance project jointly conducted by Japan Loss Insurance Company and Tire4 company Tiya, there are other autonomous driving insurance cases.
For example, Progressive Insurance Company in the United States provides autonomous driving insurance, covering vehicles from brands such as Tesla, Audi and Mercedes-Benz. In addition, it is reported that China Ping An Property & Casualty Insurance Co., Ltd. has launched autonomous driving insurance to provide auto insurance protection services for intelligent connected vehicles.
It should be noted that these autonomous driving insurance cases may vary by region and time, and the specific insurance coverage and applicable models may also be adjusted. When choosing autonomous driving insurance, it is recommended to read the insurance terms carefully to understand the insurance coverage, liability exemption, coverage period, premium and other matters, and consult a professional insurance consultant or agency for more detailed information and suggestions.
Are there currently cars with L4 autonomous driving capabilities that consumers can buy around the world?
At present, many car manufacturers around the world have launched cars with L4 autonomous driving functions. For example, some models of Tesla, Mercedes-Benz, Audi and other brands are equipped with L4 level autonomous driving technology.
Among them, Tesla's Autopilot can already realize some L4 level automatic driving functions, such as automatic parking and automatic lane changing. Mercedes-Benz's Drive Pilot also has L4 level autonomous driving capabilities, which can drive autonomously on the highway, but requires human supervision. Audi's A8 is the world's first mass-produced car with L4 level autonomous driving capabilities, but it can only be used under limited conditions.
In addition, Google's Waymo has also launched a number of L4 level self-driving cars, but they are currently mainly used in taxis and public transportation.
It should be noted that although these cars already have L4 level autonomous driving capabilities, they still require human supervision in most situations. At the same time, current L4-level autonomous vehicles still face challenges in laws, regulations, technology, infrastructure and other aspects, and large-scale commercial application still takes time.
about the price:
The price of Autopilot is not fixed, but varies based on the choices of different models and car manufacturers.
Among Tesla models, the price of Autopilot varies depending on the model. For example, the Autopilot option on the Tesla Model 3 is $27,800, and the Autopilot option on the Model S is $54,000.
In addition, Tesla also provides an enhanced version of the automatic assisted driving function (Enhanced Autopilot), with an optional price of 32,000 yuan. If you need Full Self-Driving, you need to choose the purchase option for 64,000 yuan. It’s important to note that these prices are a one-time payment and are not included in the vehicle’s selling price.
In general, the price of Autopilot depends on the choice of different models and car manufacturers, and the price will vary. For Tesla models, the price of Autopilot is relatively high, but it can be chosen according to personal needs and budget.
It still feels very expensive... Oh, no, I'm too poor.
Autonomous driving is not designed for poor people like me. After so many years, I have deeply reflected that I have not worked hard and my salary has not increased significantly. I am a failure.
Autopilot makes me feel inferior, thank you.
