Dec 17, 2020|

JD Shares Updates of Smart Delivery Vehicle at NVIDIA Conference


by Yuchuan Wang

“JD’s smart delivery vehicle is the world’s first application of Level-4 autonomous driving technology on public roads without any human interaction.” said Cindy Xu, principal architect of JD Logistics’ (JDL) autonomous driving division in Silicon Valley.

On December 16th, Xu shared recent developments of JD’s research and applications in autonomous driving on the GPU Technology Conference 2020 held virtually online by NVIDIA

Cindy Xu, Principal Architect, Autonomous Driving at JD Logistics,

JD Logistics started its cooperation with NVIDIA in 2017. Leveraging intelligent robots based on the NVIDIA Jetson platform, JD brings AI to the field of logistics and supply chain, and continues to expand its research in autonomous driving and smart delivery.

Right after the outbreak of COVID-19 in early 2020, JD urgently deployed its L4 autonomous delivery vehicle in Wuhan to ensure contactless delivery from delivery stations to hospitals and residential compounds. In October, JD announced it would help Changshu, a top 5 county-level city by GDP in China, build a smart city based on smart delivery vehicles. So far, over 1/5 of JD’s delivery stations in Changshu have been equipped with smart delivery vehicles.

Click here to watch Xu’s comments (in Chinese)

“The core of achieving this level of research and application is the deep collaboration between JD and NVIDIA. Based on NVIDIA’s Jetson AGX Xavier platform, we have further developed our autonomous driving system and optimized the computing unit,” said Xu. “The collaboration with NVIDIA not only secured the Level-4 autonomous driving demand from a computing perspective, but also helped lower the power consumption to 10% of the industry average.”

In the future, JD Logistics will further deepen its collaboration with NVIDIA in the field of autonomous driving especially in the area of autonomous driving trucks, which will continue to alleviate the pressure due to the shortage of truck drivers in China.