How Baidu’s Autonomous Driving Toolchain Powers Production‑Ready AI

Baidu, one of the earliest domestic companies to invest in autonomous driving, has been actively delivering related products, technologies, and services to the industry.

In a keynote at the Baidu Cloud Intelligence Conference (September 5, 2023), senior manager Xu Peng shared Baidu’s practice and insights on the autonomous driving toolchain, moving from the R&D domain to the mass‑production domain.

Key Cases

Cloud simulation platform: Co‑created with customers, accumulating over 500,000 customized scenarios, enabling more than 700 algorithm iterations and nearly ten million kilometers of test validation within a year, significantly accelerating vehicle‑level intelligent driving rollout.

Data closed‑loop: Managed 50 PB of data in a year, embedding over 500 autonomous‑driving data‑mining models, processing billions of frames efficiently and enhancing data value.

AI‑driven labeling: Developed an AI intelligent labeling model that annotated tens of millions of frames, saving tens of millions of labor hours.

These cases illustrate Baidu’s focus on data application, management, and production, aiming to make massive autonomous‑driving data more efficient across the entire lifecycle.

Challenges in the Production Era

Compliance: Ensuring data collection and cloud transmission meet regulatory requirements for geographic information security.

Efficiency: Handling massive daily data uploads from millions of vehicles while extracting high‑quality data to address long‑tail issues.

Service: Providing personalized, high‑quality driving experiences for diverse users.

Cost: Enabling low‑cost testing across varied city scenarios to support nationwide deployment.

Addressing these challenges requires new tools and services.

Ba​idu’s Integrated Solution

Ba​idu has upgraded its autonomous driving toolchain from the R&D domain to the production domain, offering a full‑stack cloud service covering model development, training, data acquisition, labeling, simulation, operation, and regulation.

The solution includes:

Toolchain + Compliance Service: A dedicated compliance team provides end‑to‑end security and multi‑department consultations, ensuring data privacy, mapping data security, and qualified map‑provider management.

Data Service: Leveraging Baidu’s search expertise and the Wenxin large model, Baidu built an intelligent data search engine that transforms data mining from a procedural to a retrieval‑based approach, enabling “big‑sea needle” searches and one‑click scenario acquisition.

Simulation Service: Baidu’s twin‑city high‑precision simulation, built on massive road‑network data and over 60 million km of test mileage, supports daily simulation of tens of millions of kilometers across hundreds of cities, reducing R&D costs and improving efficiency by over tenfold.

These capabilities help automotive OEMs accelerate autonomous‑driving development, achieve data, problem, and scenario closed‑loops, and capture new market growth.