JD Logistics and collaborate to develop an autonomous driving system for the logistics industry

A partnership formed between JD Logistics and – an intelligent mobility software and automotive electrical and electronic architecture (EEA) provider – will see the duo building an end-to-end and multiscenario autonomous driving system designed for applications within the logistics sector.

With being one of the founding members of the Autoware Foundation – the world’s largest open-source community for autonomous driving – JD Logistics will benefit from the company’s global R&D experience. As a result, JD Logistics will work with a wide variety of industry stakeholders to establish interconnection specifications and standards for data, algorithms, sensors, computing platforms and much more.

“We are thrilled to join forces with JD Logistics, a visionary leader in autonomous driving. Their relentless pursuit of innovation is poised to revolutionize the logistics industry, bringing about significant positive change,” said Dr Yang Zhang, chairman of and co-founder of the Autoware Foundation. “Through this partnership, we are inviting more ecosystem partners to join us in the pursuit of the large-scale deployment of autonomous driving solutions.”

Since 2016, JD Logistics has been working on the research and development of autonomous last-mile delivery vehicles, with its latest offering, the Generation Five Autonomous Delivery Vehicle, capable of carrying up to 200kg and traveling up to 100km per charge.

Supported by its R&D team and a significant amount of logistics data, JD Logistics developed the MVS-Fusion algorithm in March 2023. Using only visual 3D object detection, it reached a mean average precision of 55.54% without the need for future frame data. At present, the company has more than 600 autonomous vehicles in operation in 30 Chinese cities.