In the era of artificial intelligence-driven urbanization, where cities are constructed upon vast data infrastructures, urban landscapes increasingly resemble navigable databases as vehicles traverse commuting routes. This paper presents a vehicular interaction system grounded in hierarchical autonomous driving technologies, which transcends human sensory limitations through integration of real-time environmental monitoring with historical data retrieval. Employing the conceptual metaphor of “animal perspective”, this framework enhances driving safety while expanding users’ visual cognition. Technically, the system synthesizes vehicle-captured external data with urban-scale big data, transforming the cabin into an active data-sensing entity. Augmented reality overlays reveal high-dimensional information imperceptible to human vision. As autonomous driving levels increase, window-displayed information progressively evolves from safety alerts to immersive experiences. Quantitative and qualitative experiments involving 10 participants demonstrated enhanced user satisfaction with in-vehicle experiences. This research transcends human-centric interaction design paradigms, evidencing that simulated animal perspectives effectively extend human environmental cognition.