On June 18, 2026, at the 9th Intelligent Driving and Global Expansion Conference hosted by Gasgoo, Zhang Wei, Senior System Director of iMotion Technology, pointed out that Chinese smart driving solutions are facing multiple scene adaptation challenges from driving to parking, from perception to interaction when going global. This article organizes his core viewpoints and analyzes the current situation, challenges, and solutions for Chinese intelligent driving technology going global.

Smart Driving Going Global: From "Technology Leadership" to "Scene Adaptation"

China's Smart Driving Technology Advantages

China has established significant technological advantages in the intelligent driving field:

• L2 Assistive Driving Penetration Rate: Data from January-February 2026 shows that the penetration rate of L2 intelligent assistive driving in Chinese passenger car new vehicles has reached 69%

• Urban NOA Function: Chinese users' demand for urban NOA functions is growing

• Large-scale OTA Upgrades: NIO recently completed an OTA upgrade covering 700,000 car owners, spanning dual brands, 3 hardware platforms, and 18 models

Core Challenges of Going Global

However, technological leadership does not directly equal overseas market success. Zhang Wei pointed out that Chinese smart driving solutions face three major scene gaps when going global:

Driving Scenes: "Acclimatization" of European Road Environment

Road Environment Differences

Upgraded Technical Requirements

Germany's unlimited-speed highways put forward higher requirements for intelligent driving systems:

1. Planning and Control Algorithms: Need to support higher speeds and more complex overtaking scenarios

2. Vehicle Interface: Higher requirements for braking and steering system response speed

3. Perception Models: Need to recognize more types of special vehicles and non-standard road markings

Parking Scenes: From Standardization to Diversification

Comparison of Parking Environment at Home and Abroad

Zhang Wei pointed out that the high standardization of Chinese parking scenes cannot cover overseas diversification needs:

• Parking Space Size: European parking spaces are generally narrower and shorter

• Boundary Lines: Some parking lots have no clear boundary lines

• Layout Forms: Mixed layouts of oblique, vertical, and parallel

• Parking Habits: Overseas users' "one-shot" parking habits require higher system precision

iMotion's Solution

iMotion Technology has built:

• Scene Library: Covers dozens of countries, thousands of parking scenes

• Large Model Generation Technology: Scene generalization based on limited field-collected data

• Multi-language HMI: Supports multi-language interface adaptation

• Left/Right Steering Wheel Adaptation: Meets driving habits of different markets

Data Compliance: Constraints of GDPR and Other Regulations

Data Compliance Requirements

European market data compliance requirements are extremely strict:

• GDPR Compliance: Data collection, storage, and transmission must comply with EU General Data Protection Regulation

• Local Data Processing: Some scenarios require data not to leave the country

• User Authorization: Clear data usage authorization mechanism

Technical Response

• Edge Computing: Reduce data transmission, enhance local processing capabilities

• Data Desensitization: Desensitize user privacy data

• Compliance Certification: Build trust through third-party compliance certification

Map-less Solution: Not the Only Answer

Limitations of Map-less Solutions

Regarding the industry's heated discussion on map-less solutions, Zhang Wei clarified:

• Current map-less solutions that meet EU GSR regulations specifically refer to not accessing map information, relying purely on visual perception for speed limits

• Some scenarios (such as poor lighting) do have performance degradation

• Automakers can choose to integrate map data to enhance experience; map-less is not the only technical route

Technical Route Selection

Implications for Central Asia/Russia Market

Market Characteristics

Compared with the European market, the Central Asian and Russian markets have the following characteristics:

1. Road Infrastructure: Some areas have poor road conditions, requiring high robustness of smart driving systems

2. Climate Conditions: Severe winters pose challenges to sensor performance

3. Regulatory Environment: Intelligent driving regulations are still being improved, with relatively low entry barriers

4. Market Opportunity: Low smart driving penetration rate, obvious first-mover advantage

Layout Suggestions

• Adaptive Development: Optimize systems for local road and climate conditions

• Gradual Introduction: Gradually transition from L2 assistive driving to high-level smart driving

• Localized Cooperation: Cooperate with local enterprises to accelerate market penetration

Conclusion

For Chinese smart driving going global, technology leadership is just the starting point, and scene adaptation is the key to victory. From iMotion Technology's practical experience, successful overseas smart driving solutions require:

1. Deep Understanding of Local Scenes: Establish scene libraries covering target markets

2. Flexible Architecture Design: Support integration and switching of multiple technical routes

3. Strict Data Compliance: Meet local regulatory requirements

4. Continuous Localized Investment: Establish local R&D teams and testing capabilities

For the Central Asian and Russian markets, Chinese smart driving companies should seize the current market window period, establish long-term competitive advantages with pragmatic product strategies and localized operations. EX1000.COM provides more details.