Intelligent Driving Assistance System
Building a reusable interaction system for safety-critical guidance
Background
Reimagine the digital cockpit experience under Tencent’s Intelligent Driving initiative. As the boundary between software and vehicle dissolves, in-car interaction demands a unified framework that integrates safety, information, and immersion. This project explores the future paradigm of intelligent mobility, creating a scalable interaction system for driver instrument (IC), central display (CID), and HUD.
What I Led
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Conducted competitive benchmarking and industry research to identify experience gaps across global intelligent cockpit solutions.
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Defined the product strategy and interaction framework for a three-screen ecosystem, ensuring a seamless flow between information hierarchy, driver focus, and visual continuity.
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Developed the system architecture and motion logic, mapping key driver scenarios — from lane-level navigation to vehicle-state visualization — into coherent user journeys.
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Created visual and motion prototypes using C4D, AE, and Blender, collaborating with the visual design team to establish the lane-level HD map style and adaptive 3D motion principles.
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Contributed design concepts that served as creative direction references for the final production system.
Outcomes & Impact
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Delivered a scalable interaction model that became the foundation for Tencent’s intelligent cockpit UX framework.
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Enabled the mass-production release of Tencent’s lane-level HD map, setting new standards for visual precision and spatial feedback.
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Elevated the UX discipline from interface definition to system-level strategy and cross-domain collaboration.
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Demonstrated how product strategy, design logic, and visual storytelling can converge to define the future of human–machine experience.
