First Batch of GAC Lijing and Pony.ai L4 Autonomous Driving Heavy Trucks Rolls Off Production Line

en.Wedoany.com Reported - On October 29, the first batch of production models of the T9 ROBOTRUCK L4 autonomous driving heavy truck jointly developed by GAC Lijing and Pony.ai officially rolled off the production line at the Conghua plant in Guangzhou, Guangdong. The model is developed based on the GAC Lijing T9 battery-electric heavy truck platform and is equipped with Pony.ai's fourth-generation autonomous driving truck system. The two parties plan to achieve hundred-unit-level mass production application by 2027 and advance to thousand-unit-level scaled production between 2028 and 2029.

The T9 ROBOTRUCK adopts GAC Lijing's fully redundant drive-by-wire chassis, with redundant architectures configured for all six major systems: steering, braking, communication, power supply, computing, and sensors. The vehicle is equipped with 9 lidars, 3 millimeter-wave radars, and 13 cameras, and uses the same domain controller as Pony.ai's seventh-generation autonomous driving robotaxi. According to the previously released product technical plan, the material cost of the new-generation autonomous driving kit is reduced by 70% compared with the previous generation, and the per-ton-kilometer transportation cost is expected to decrease by 30%.

According to the latest cooperation plan of the two parties, in 2027 they will advance vehicle road testing, demonstration applications, and product delivery system development in accordance with relevant regulations, focusing on application validation in trunk line logistics, dedicated line logistics, and port transportation scenarios, striving to achieve hundred-unit-level mass production application.

From 2028 to 2029, GAC Lijing and Pony.ai plan to expand vehicle production and commercial application scale, explore business models such as complete vehicle sales, leasing, and capacity services, and carry out pilot deployments in overseas markets such as the Middle East and Europe in combination with local regulations and customer needs.