With the emergence of unmanned logistics vehicles, freight cars will become the leading product for driverless technology.

[Unmanned logistics vehicles are coming together, freight cars will be the first landing products for driverless technology? 】 Recently, unmanned logistics vehicles have frequently appeared in public. Will it be the earliest unmanned vehicle to be landed?

In the recent past, unmanned goods vehicles used for logistics have sprung up like mushrooms.

Jingdong, Suning, and Cainiao have already demonstrated their own driverless products for e-commerce companies with large logistics demand. Will these freight vehicles land on the ground?

On May 29th, at the JDCUBE conference held in Beijing, Xiao Jun, vice president of JD.com and president of the X division, said that the JD Silicon Valley Research Institute is developing an L4 auto-driving heavy truck, which is currently on some licensed roads in the United States. 2400 hours of smart driving super test completed.

During the Beijing Auto Show, Jingdong Logistics and Foton Motor jointly built the first smart logistics exhibition area of ​​the auto show, demonstrating advanced sorting robots, intelligent logistics transportation equipment systems and unmanned aerial vehicles, etc., and Foton Motor won auto driving test of commercial vehicles in April. The license plate, Foton self-driving truck currently implements the L3 semi-enclosed area of ​​automatic driving, including automatic turning, pedestrian identification, automatic emergency braking, automatic vehicle lane change, traffic sign recognition.

At present, Jingdong’s small unmanned logistics vehicles have also been deployed and operated in Changsha Economic Development Zone. The next step will also be deployed in universities and Yuelu District in Hunan University.

On May 24th, Suning Logistics conducted unmanned truck road testing at Fengxian Park in Shanghai. It is understood that this is a heavy-duty truck that has reached the L4 level of unmanned capability jointly launched by Suning Logistics and Zhijia Technology. Prior to this, on May 19 and 20, Suning unmanned heavy truck had just completed a high-speed scene test at the Yancheng Automobile Testing Ground.

According to reports, Suning's unmanned heavy-duty truck has a 40-ton capacity and can not only automate the planning of routes. It can achieve safe automatic driving when the driving speed reaches 80km/h, and can accurately identify obstacles and easily avoid them within 300 meters. Faced with pedestrians suddenly appearing on the road, it can also give advance warning and calm parking. Suning's unmanned heavy truck was jointly launched by an artificial intelligence company in Silicon Valley, Zhijia Technology, aiming to achieve L4 level unmanned driving capability.

From the picture, Suning's unmanned heavy truck was refitted on vehicles liberated by FAW, and FAW Jiefang completed the first domestic highway L3 smart vehicle road test in October 2017, and won a domestic commercial vehicle in April 2018. "Intelligent Network Vehicle Road Test License."

On May 15th, at the 2nd World Smart Conference held in Tianjin, Jiangling’s “Special Scene Automated Driving Logistics Vehicle” unveiled. It can realize remote monitoring through on-board 4G-cloud Internet to detect the running status of vehicles. On closed or semi-closed and structured roads, functions such as automatic trailing, auto follow-up, lane changing, stop-and-go, and intersection deceleration can be realized.

On April 18, the rookie network under the Alibaba Group disclosed a self-developed image of the road-to-car survey for unmanned vehicles, and revealed that unmanned technology has matured in the field of logistics. The "G+ No-Express Express" developed by the rookie ET Logistics Laboratory conducts open road tests every day. Its tracking accuracy ranks first among multi-targets in the KITTI evaluation data set of the global autopilot algorithm public rankings.

On April 12, unmanned electric truck jointly built by Tianjin Port Group, China National Heavy Duty Truck Group Corporation and Tianjin Mainline Technology Company led the successful trial operation of the unmanned electric truck in Tianjin Port led by Li Deyi, academician of the Chinese Academy of Engineering.

Driverless electric trucks can intelligently drive into and out of docks and yards and send containers directly to designated locations. This not only shortens the transportation link, but also makes the price relatively cheaper. It can not only adapt to the large-scale operation of the port area, but also can drive out of the port area to meet more "transboundary" transportation needs.

Will unmanned logistics trucks enter the practical exercise stage, does this mean that unmanned trucks will be the first to land and put into practical use?

Although driverless technology is booming, a large number of car companies and start-up technology companies are developing and testing driverless vehicles, security incidents such as Tesla, Uber, and Waymo are leading the way. Car accidents and even casualties occurred, adding a series of obstacles to the landing of unmanned technology.

In recent days, Beijing, Shanghai, Chongqing and other places have successively opened auto-pilot cars on the road. As for the traffic accidents during the test, Beijing authorities clearly stated that the test unit must purchase the traffic accident liability insurance or the indemnity letter. The accident is handled according to the current regulations. And test drivers bear the relevant legal responsibility.

Shanghai's open road test area has erected a warning sign to inform other motorists that this section is a test road section to avoid hidden dangers.

It can be seen that the landing of self-driving vehicles requires a high degree of actual demand. On the other hand, the predictable security risks should be controlled within an acceptable range.

The degree of reality just needed means that the auto-driving mode is not required by society and customers. That is to say, this kind of self-driving vehicle is willing to be purchased by the customer for their own needs. It will give the manufacturer a profit, not just to demonstrate or participate in the competition.

If the reality is just higher, then the autopilot mode should be alive, but if you participate in a lot of games and demos, the external evaluation is very high, but in the end nobody pays for your product. It means that it is at least short-term. There is no possibility of landing on the inside.

The predictable safety risk is how serious a safety incident the vehicle will cause if it is in some extreme and functional failure. In other words, the number of deaths per year that a self-driving car will cause is only acceptable to the public.

Can you imagine that you are more willing to accept the "unmanned delivery vehicle to send you express" such an interesting thing, or more willing to accept the "drone driver car to send you home" this terrible thing? The difference between these two kinds of things is that the unmanned truck is equipped with the iPhone X, and the driverless car is your life. The importance of both is self-evident for you.

Therefore, as far as the current social needs and technological level are concerned, it is not difficult to understand that drones will tend to be applied first to the logistics industry where the risk is relatively low, and the use of unmanned logistics vehicles can enhance the image of logistics companies. It will have a positive impact on future sales and financing.

Yin Chengliang, director of the Shanghai Jiaotong University Intelligent Network Alliance Electric Vehicles Innovation Center, believes that it takes a long time to test unmanned vehicles in high-speed and complex environments. Large-scale unmanned goods vehicles driving on ordinary roads are a bit simpler. However, due to the speed, there are many safety factors to consider. Relatively speaking, low-speed unmanned vehicles operating in specific environments are most likely to be the first to land.

For example, in a relatively independent space such as a warehouse, freight yard, park, or port. In these places, transportation is within a relatively fixed range, and the vehicle's driving route and surrounding environment are mostly controllable.

First, such low-speed unmanned trucks have practical business needs. By adopting a driverless approach, logistics companies can reduce costs, and airports and docks can standardize transportation routes and improve transportation efficiency. Second, low-speed unmanned vehicles have relatively small safety hazards. Even if an accident occurs, the consequences will not be particularly serious.

According to Xiao Jun, vice president of Jingdong Group, Jingdong’s self-driving truck will not enter the urban environment in the future, and several unmanned truck service areas will be set up along the highway to be transported by people to the logistics center. Jingdong's logistics center is generally less than 10 kilometers from the highway.

Xu Xuefeng, deputy dean of the Suning Logistics Research Institute, explained that since the logistics heavy trucks undertake the business of logistics transshipment and allocation, most of the application scenarios are within the expressway. Compared with passenger cars, the working conditions are simpler and the driverless technology is currently developing. From the perspective of the situation, the application prospect of driverless in logistics scenario is better.

Wan Lin, president of Cainiao Network, also stated that two years ago, when the rookie launched China's first unmanned logistics vehicle "small G", it was considered that the scene in which the unmanned vehicle was most likely to land on a large scale was logistics.

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