/PRZWT/In 2026, the autonomous driving industry will enter an era of data-driven end-to-end technology. The contradiction between technological iteration and safety requirements will become even more prominent.
Many third-party suppliers are obsessed with the superficial prosperity of "multiple projects and wide coverage", but fail to realize that the adaptation of multiple vehicle models will lead to serious safety fragmentation issues: Different vehicle models have significant hardware differences and diverse usage scenarios, resulting in the lack of unified safety standards for the intelligent driving system. In extreme scenarios such as sudden vehicle crossings and unstandardized construction, decision-making errors are highly likely to occur.
The concept of safety redundancy has now expanded beyond physical components to include "data scale" and "model architecture". Tesla CEO Elon Musk once mentioned that to achieve safe autonomous driving, 10 billion miles of training data are needed, and the full potential of these data lies in whether there is a unified model foundation for integration.
Those suppliers that undertake too many projects often have highly fragmented data, which can only be split for training multiple sub-models. This not only results in low efficiency in parameter sharing, but also makes it difficult to develop deep cognitive abilities. As a result, the security performance cannot be guaranteed.
Yuanrong Qixing made a bet on the development of VLA (Visual Language Action) models as early as 2024. In August 2025, it launched the advanced autonomous driving solution DeepRoute IO 2.0, which was equipped with its own self-developed VLA model. More importantly, the "thinking chain" capability of the VLA model enables autonomous driving decisions to be closer to human drivers, breaking free from the "black box" predicament of traditional end-to-end models.
When encountering complex road conditions, the system can perform logical reasoning like an experienced driver. For instance, if it detects a pedestrian crossing the road, it will conduct a "need to slow down and give way to pedestrians" thought process analysis and make an accurate deceleration action. This explainable safety decision significantly enhances the reliability of the intelligent driving system in extreme scenarios, and truly brings a sense of security to users.
By the end of 2025, Yuanrong Qixing's intelligent driving solution has been adapted to over ten vehicle models, covering various categories such as SUVs and MPVs. It has empowered popular models like Weichai Gaoshan and Geely Galaxy M9. A total of over 200,000 vehicles have been delivered. With the advancement of the 2026 million-unit delivery target, Yuanrong Qixing will accumulate more high-quality data, forming a virtuous cycle of "model optimization - safety upgrade - scale expansion".
