• Journal of Internet of Things and Convergence
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• v.10 no.5
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• pp.165-171
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• 2024

The colored road surface guide lines have been proven to significantly reduce the occurrence of traffic accidents. However, these guide lines have been currently applied sequentially only on roads that meet the installation criteria designated by the Ministry of Land, Infrastructure, and Transport. Furthermore, existing navigation systems such as legacy navigation and HUD (Head-Up Display) have demonstrated errors or ambiguities in delivering route information, highlighting the need for a clearer method of guiding drivers. In this paper, we propose a lane detection and masking technique that integrates the features of AR HUD (Augmented Reality Head-Up Display), a technology gaining attention in vehicle convenience systems, with the characteristics of colored road surface guide lines. The proposed technique detects and classifies lanes based on their color and lane detection results, then performs road masking using the classified lanes. Experimental results show that the proposed technique masked approximately 70% of the lane area. This enables drivers to receive real-time images of the masked route they should follow, offering an experience similar to constantly visualizing colored road surface guide lines. We expect that this approach will provide more intuitive information and improve driver convenience. Future advancements in this masking technique will further contribute to enhancing both convenience and safety for drivers.