Tencent Autonomous Driving Cloud Supports Changan Tianshu

Tencent Cloud Supports Changan Tianshu Navigation

Tencent Autonomous Driving Cloud is providing data closed-loop support for “Changan Tianshu Navigation,” a newly launched intelligent driving assistance technology brand from China Changan Automobile Group Co., Ltd. (CCAG). The service is being delivered through Tencent Smart Mobility, the smart mobility business of Tencent Holdings Limited. The Changan NEVO Q06 is the first model equipped with Tianshu Navigation Ultra, and the vehicle has opened for pre-orders. The cooperation connects intelligent driving data operations with development and deployment processes, creating a closed loop from real-world road data collection through validation, model training, and vehicle updates.

Tianshu Navigation Offers Four Intelligent Driving Versions

Tianshu Navigation is offered in four versions: Pro, Max, Ultra, and Ultimate. Each version is equipped with LiDAR and uses an end-to-end architecture for intelligent driving assistance. Within this framework, Tencent Autonomous Driving Cloud supports multiple operational functions, including intelligent driving data collection and upload, data production and mining, simulation testing, and model training. The system is designed to process information generated by vehicles operating on real-world roads and connect that information with the development workflow required to improve intelligent driving models and functions.

Data Collection and Model Development Form a Closed Loop

The cloud-supported workflow enables road data collected by vehicles to be cleaned and annotated before undergoing validation through simulation. The processed data can then be used for model training, with resulting updates deployed back to vehicles through over-the-air (OTA) updates. This creates a continuous data closed loop between vehicle operation and intelligent driving development. According to Tencent, the process reduces the time required for data collection and upload from days to hours. The faster movement of information through the development pipeline is intended to support more efficient iteration of intelligent driving functions.

Simulation and Data Production Capacity Increase

Tencent said development cycles for its data annotation and simulation testing platforms have been shortened by several months. At the same time, data production capacity has increased while using the same amount of computing power. These improvements affect several stages of the intelligent driving development process, from preparing collected road information to testing system performance in simulated environments. By improving the speed and capacity of these operations without increasing the stated computing resources, the platform can support a more efficient workflow for China Changan's intelligent driving development activities.

Next Phase of Tencent and CCAG Cooperation

Going forward, Tencent and China Changan Automobile Group Co., Ltd. plan to broaden their cooperation around computing power used for intelligent driving model training. The companies also plan to jointly build an integrated system covering AI infrastructure and data infrastructure. In addition, they intend to explore the use of world models and multimodal models in intelligent driving scenarios. The planned expansion indicates that the cooperation is moving beyond individual data-processing functions toward a broader infrastructure approach supporting model development and intelligent driving applications.

Industry Impact & Outlook

The cooperation strengthens the role of integrated data and AI infrastructure in intelligent driving development by connecting road-data collection, production, simulation, training, and OTA deployment within a continuous workflow. For CCAG, faster data processing and shorter platform development cycles could support more efficient iteration of Tianshu Navigation functions, while Tencent gains a broader application environment for its cloud and AI infrastructure capabilities. The planned expansion into computing power, integrated AI and data infrastructure, world models, and multimodal models could make the partnership increasingly important to intelligent driving development in China as these technologies move into practical vehicle applications.

Frequently Asked Questions

What does Tencent's cloud platform provide for Changan Tianshu Navigation?
Tencent's cloud platform supports the data operations needed to develop and improve Changan's intelligent driving assistance technology through a connected development workflow. It supports data collection and upload, data production and mining, simulation testing, and model training, allowing vehicle data from real-world roads to be processed and validated before updates are deployed through OTA technology. Tencent also reported faster data uploads, shorter development cycles for annotation and simulation platforms, and greater data production capacity using the same computing resources.