The autonomous driving of commercial vehicles will be implemented before the autonomous driving of passenger cars, so the number of companies that have entered the autonomous driving of commercial vehicles from 2019 has doubled from the previous year. In 2019, TuSimple successfully raised US$215 million and obtained 18 contract customers in the United States through transportation revenue, which played a strong demonstration role.
List of 2019 Commercial Vehicle Autonomous Driving Investment and Financing Events
After being stopped for more than a year, WAYMO restarted the test of self-driving trucks in May 2019. Pony.ai, which was led by Toyota with a $400 million investment and dedicated to the RoboTaxi business, also launched a self-driving truck test in 2019.
Truck platooning test (Platooning) is still a key project for autonomous truck testing in 2019. Domestic and foreign companies such as Daimler, Xidi Zhijia, Scania, Iveco, Volvo, DAF Trucks, Peloton, SAIC, Foton, Huawei, Tucson Future, and Hyundai Motor have participated, and will be more integrated in 2019. 5G technology.
Judging from the top 10 Platooning patent distribution, the main players are Continental Motors, Scania, Peloton, Ford, Toyota, etc. Foreign companies have invested more, but domestic companies are not seen.
The intelligentization of commercial vehicles and the intelligentization of roads are advancing simultaneously, and relevant regulations and standards are constantly being improved. According to the document released by ERTRAC, the autonomous driving infrastructure (road) is divided into five levels: A (cooperative driving), B (cooperative perception), C (dynamic data support), D (static data support), and E (no support). A is the most advanced, E is the most advanced.
In September 2019, the Autonomous Driving Working Committee and the Autonomous Driving Standardization Working Committee of the China Highway and Transportation Society released the “Report on Classification Definition and Interpretation of Intelligent Connected Road Systems” (draft for comments). The report divides the transportation infrastructure system into I0 level (no informatization/no intelligence/no automation), I1 level (preliminary digitization/preliminary intelligence/preliminary automation), I2 level (partial network connection/partial intelligence/ Partial automation), Level I3 (conditional autonomous driving based on transportation infrastructure and high connectivity), Level I4 (highly autonomous driving based on transportation infrastructure), Level I5 (fully autonomous driving based on transportation infrastructure).
Source: China Highway Society
In December 2019, the autonomous driving formation test conducted on Jingli Expressway (Beijing Section of Yanchong Expressway) demonstrated the importance of road intelligence. The test road conditions of Jingli Expressway are complex, and more than 94% of the road sections are tunnels and viaducts. In most cases, the GNSS signal is not good, and the automatic driving in the tunnel becomes a big problem. At the same time, in the middle of winter, the outdoor temperature is as low as minus 20°C, which also tests various supporting equipment. Huawei installed the 5G vehicle terminal T-Box with 5G+C-V2X technology on the Foton commercial vehicle, and also provided the roadside perception terminal camera, radar, roadside unit RSU, edge computing, C-V2XServer, etc. By providing C-V2X services for the entire road section, it can make up for the lack of positioning, communication and perception capabilities in the tunnel. Foton Commercial Vehicles completed a 14-kilometer L4 autonomous driving full formation demonstration, including a 9.8-kilometer continuous long tunnel.
The increasingly mature commercial vehicle autonomous driving market has invested billions of dollars in total in 2019. Foreign countries focus on vehicle intelligence, and domestic focus on vehicle-road coordination. From 2020, there will be more room for development.
The “2019-2020 Commercial Vehicle Autonomous Driving Industry Research Report” studies the technology, organization, market and industry status quo in the field of commercial vehicle autonomous driving in detail, the progress of queuing up, the investment and layout of nearly 50 domestic and foreign suppliers and car manufacturers , technical routes, products and solutions, business models, planning and goals, tests, cooperation cases, application scenarios, etc.