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WeRide Begins On-Road Testing of L2++ Intelligent Driving Solution in Germany, France, Japan

WeRide has started on-road testing and localization validation of its L2++ end-to-end intelligent driving solution in Germany, France, Japan and other international markets, the company announced.

Consecutive wins in China Intelligent Driving Ch

6

Production vehicle design wins

more than 30

What Happened

WeRide, a global leader in autonomous driving technology, disclosed progress in the international expansion of its L2++ intelligent driving business. The solution, built on WeRide's proprietary one-stage end-to-end algorithm and integrated with Bosch's automotive-grade domain controller platform, has begun on-road testing and localization validation in Germany, France, Japan and other international markets. The company is systematically expanding its global engineering and validation capabilities to address the challenge of delivering consistent performance across different regulatory frameworks, road infrastructures, driving behaviors, and climate conditions.

Key Highlights
  • WeRide's one-stage end-to-end intelligent driving solution, built on its proprietary algorithm and co-developed with Bosch, has begun on-road testing and localization validation in Germany, France, Ja
  • WeRide is building a global integrated engineering and validation framework spanning R&D, testing, adaptation across diverse international markets.
  • The solution's unified end-to-end AI architecture enables rapid adaptation across diverse traffic regulations, road environments, driving cultures and climate conditions.

The solution is powered by a unified end-to-end AI architecture that integrates perception, prediction, planning, and control within a single model while supporting both driving and parking scenarios. This architecture enables more efficient understanding of complex interactions among vehicles, pedestrians, and infrastructure while reducing cumulative system errors. As a result, the solution delivers stronger scene understanding, broader scenario generalization, and enhanced safety redundancy, allowing it to adapt rapidly to diverse driving environments worldwide.

Consecutive wins in China Intelligent Driving Challenge

6

Chery Exeed ES and ET models equipped with WRD 3.0 achieved six consecutive victories in the competition, demonstrating strong performance in China's complex traffic conditions.

Production vehicle design wins

more than 30

The solution has achieved design wins across over 30 production vehicle programs with leading automakers including Chery and GAC Group.

From Germany's unrestricted autobahns and France's dense roundabouts to right-hand-drive markets in Japan and Southeast Asia, as well as extreme climate conditions in the Middle East, the solution is designed for scalable deployment. WeRide is working closely with multiple automakers to incorporate local mobility needs, driving behaviors, and regulatory requirements into product development, refining features that deliver the greatest value to users worldwide.

Previously from WeRide Inc.

In June 2026, WeRide's Chery Exeed Sterra ES equipped with WRD 3.0 achieved six consecutive wins in the China Urban Intelligent Driving Competition, a first in the competition's history. Today's announcement extends this technology to global markets for on-road testing.

Background drawn from MotorClaw's earlier coverage of WeRide Inc.'s official releases.

Why this matters

As intelligent driving becomes a key differentiator for automakers, WeRide's global expansion shows that the technology must work across diverse traffic regulations, road environments, and driving cultures. This testing could lead to safer and more consistent driver-assistance features worldwide. The collaboration with Bosch adds credibility and helps ensure the solution meets different market requirements.

Terms in This Story

L2++
A level of advanced driver-assistance beyond L2, typically allowing hands-off driving with driver monitoring under certain conditions.
End-to-end AI architecture
A deep learning approach that models perception, prediction, planning, and control jointly in a single neural network, reducing latency and errors.
Domain controller
A centralized computing platform in a vehicle that handles multiple functions like infotainment, ADAS, and powertrain, replacing several separate ECUs.
Read Original: WeRide Inc.

Summarised from the linked release; details can be imperfect — always verify against the original source.