GWM (Thailand is elevating its position as a leading automotive brand with a diverse range of products that meet the needs of global customers, with the concept of "All Scenarios, All Powertrains, for All Users." GWM showcased its vision at Automotive Summit 2025, a prestigious automotive academic conference featuring leading global automotive brands and drawing significant participation from industry professionals. Wayne Zhou, Managing Director of GWM (Thailand) delivered a presentation on "AI in Autonomous Driving - How AI work in ADAS/Autonomous Vehicle," revealing approaches to applying AI to enhance the performance of Advanced Driver Assistance Systems (ADAS) and autonomous driving systems in terms of both safety and user convenience. Additionally, he addressed the challenges facing the global automotive industry, including system design reliability, international safety standards, and the readiness of infrastructure and regulations to support full autonomous vehicle deployment in the future.
Automotive Summit 2025 was organized under the concept of Artificial Intelligence for Automotive Industry "AI4AI" Artificial Intelligence Driving Automotive to the Future, held at BITEC Bangna from 18-19 June 2025. The event content covered AI applications in three main areas: in-vehicle applications to enhance safety and driving experience, manufacturing applications to increase efficiency and accuracy, and AI participation in the new automotive ecosystem including intelligent transportation systems and digital infrastructure. This event served as a crucial platform reflecting AI's role in transforming the automotive industry across the entire value chain, while opening new perspectives for entrepreneurs, researchers, and stakeholders to prepare for the complete transition to the intelligent vehicle era.
Wayne Zhou, Managing Director of GWM (Thailand) stated, "At GWM, we firmly believe that the future of driving will be powered by intelligent technology that truly understands users. We therefore place the highest priority on developing autonomous driving technology by deeply integrating AI with vehicle safety and decision-making systems, embodied in the SEE (Safety, Efficiency, Experience) model and ASL (Agent of Space & Language) technology, which represents a significant step in elevating global automotive industry standards. GWM is committed to being an innovation leader that not only addresses safety and efficiency needs but also creates intelligent and natural travel experiences for users in every dimension."
Currently, the automotive industry predominantly uses "Modular End-to-End Architecture," which divides operational processes such as perception, decision-making, and control into separate components, with AI assisting in each step. The advantage is flexibility and the ability for human co-control, but the limitation is that each component operates independently, causing communication discrepancies within the system. To address this challenge, GWM developed the "Full End-to-End" concept that integrates all processes into a single AI model. While modern and capable of complete autonomous decision-making, it still faces safety challenges and cannot be controlled by humans. GWM has developed the "SEE (Safety, Efficiency, Experience)" large model that combines the advantages of both systems, where the system can perceive, analyze, and control accurately as one integrated unit while allowing human intervention in specific situations for maximum safety.
GWM has installed the SEE system in the flagship MPV GWM WEY 80 in China to enhance driving experience and establish new standards for intelligent vehicle technology. The SEE system is developed to operate on the Coffee Pilot Ultra platform, integrating 27 intelligent sensors and NVIDIA Orin-X chips to accurately process omnidirectional data while supporting real-time decision-making through End-to-End technology that can fuse audio, visual, text, and tactile data. This represents an autonomous driving assistance system with capabilities for accurate environmental perception around the vehicle, situation analysis, and efficient decision-making, enhanced with real-time driver interaction capabilities, making driving smoother and safer across various scenarios.
GWM has also unveiled its next-generation AI model currently under development "ASL" (Agent of Space & Language). Designed to communicate directly with drivers using natural human language, ASL integrates data from three key sources: 3D imaging from surround-view cameras, LiDAR, and radar systems. This enables the system to fully comprehend the context of each journey with remarkable precision. Functioning as the vehicle's intelligent central brain, ASL is equipped with advanced learning, analysis, and adaptive capabilities. By processing multidimensional data, the AI can assess destinations, understand individual user preferences, and seamlessly tailor each driving experience to meet the specific needs of every route. GWM believes that 2025 will mark a pivotal moment in the evolution of artificial intelligence. Looking ahead, ASL is poised to be more than just technology it is set to become a true driving companion that understands and supports its users at every turn.
Despite AI's advancement, the global automotive industry still faces challenges in three main areas: 1) Public Perception and Social Acceptance, where people's attitudes often depend on system confidence, safety feelings, and familiarity with autonomous control. While many recognize the benefits of convenience and safety, some remain hesitant due to uncertainty about delegating decision-making to AI. 2) Legal Framework and Liability Considerations. Legal issues and liability for autonomous vehicles remain challenging topics requiring clear guidelines. Currently, responsibility may fall on multiple parties such as vehicle owners, manufacturers, or software developers. Governments should collaborate with industry to establish laws and standards that balance user safety with technological advancement, including establishing transparent testing processes and monitoring mechanisms. 3) Recommendations to Government and Industry. To drive autonomous driving technology growth, government and industry should collaborate in three main areas: supporting R&D through funding and tax incentives, establishing clear and stringent laws for safety, and investing in public education and workforce development to prepare for the sustainable future of Autonomous Vehicles.
AI-driven intelligent vehicles are rapidly transforming the global automotive industry, and GWM's role in developing technologies like SEE and ASL provides clear evidence of its commitment to a future that is safer, more efficient, and increasingly user-friendly. At Automotive Summit 2025, GWM not only demonstrated technology potential but also illuminated industry's overall direction in innovation, legislation, and society that must advance together to pave the way for a truly intelligent and sustainable new era of mobility.