This analysis demonstrates improved holographic visualization in ADAS, suggesting enhanced driver safety through augmented reality interfaces.
This study investigates the integration of Computer Generated Holography with Advanced Driver Assistance Systems for applications in augmented reality head‐up displays. By utilizing the Deep‐Learning Gerchberg‐Saxton Algorithm (DL‐GSA), the research achieves real‐time holographic projection with multi‐depth visualization, allowing for dynamic 3D AR‐HUD displays. To ensure accurate holographic visualization, ADAS data undergoes coordinate transformation, aligning sensor‐captured information with the driver's perspective. A custom optical system, equipped with a single spatial light modulator (SLM) and spatial multiplexing, enables precise and immediate projection of road conditions. The results indicate the feasibility of using CGH‐based AR‐HUDs to enhance driving safety by providing an immersive interface that aligns critical ADAS information with the driver's natural viewpoint.
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Liao et al. (2025) studied this question.
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