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Autonomous driving technology is expected to significantly improve the delivery efficiency of e-commerce express delivery. Traditional express delivery relies on manual driving, which has problems such as high labor costs, limited working hours, and traffic safety risks. Autonomous driving vehicles can achieve 24-hour uninterrupted operation without considering the driver's rest and fatigue, thereby greatly shortening delivery time and increasing delivery frequency. In addition, autonomous driving vehicles can reduce detours and empty driving during transportation through precise route planning and intelligent scheduling, thereby reducing energy consumption and operating costs.

However, achieving this vision is not without its challenges. Although LiDAR technology provides key perception capabilities for autonomous driving, its high cost has become an obstacle to its widespread application. Currently, high-quality LiDAR equipment is expensive, which has significantly increased the cost of self-driving cars equipped with LiDAR. For e-commerce and express delivery companies, large-scale procurement of such vehicles may bring huge financial pressure.

Regulatory issues are also a challenge that needs to be addressed. The operation of self-driving cars on public roads requires clear legal norms and a regulatory framework. For example, the issue of liability is particularly important in the event of a traffic accident. If the accident is caused by a system failure in a self-driving car, who should be responsible? The car manufacturer, the technology provider, or the operator? In addition, regulations on the insurance system and data privacy protection of self-driving cars have not yet been perfected.

For the e-commerce and express delivery industry, solving these problems is crucial. On the one hand, reducing the cost of LiDAR will make self-driving cars more economically feasible, thereby accelerating their application in express delivery. Relevant companies and scientific research institutions can reduce costs through technological innovation, large-scale production, etc., while improving the performance and reliability of LiDAR. On the other hand, the government and regulatory authorities should speed up the formulation and improvement of relevant laws and regulations to create a good legal environment for the commercial application of self-driving cars.

In the future, we expect to see the deep integration of e-commerce express delivery and self-driving cars. When cost and regulatory issues are properly resolved, self-driving cars will become the main force of e-commerce express delivery, bringing consumers a faster, more convenient and more efficient service experience. This will not only change the operating model of the e-commerce express delivery industry, but will also have a profound impact on the entire logistics industry and social economy.

In short, although the commercialization process of autonomous vehicles driven by LiDAR technology is full of challenges, it contains huge opportunities for the e-commerce and express delivery industry. Only by actively addressing issues such as cost and regulations can the successful integration of the two be achieved and a new era in the logistics field be created.