자율주행 기술의 문제 식별 및 해결을 위한 이종 산업 융합 가능성 탐색 방법론

초록

This study proposes methodology for exploring technological opportunities in autonomous vehicle(AVs) technology to identify unresolved technical areas and derive solutions using technologies from other industries. While previous studies have focused on the advancement of AVs technologies, core component technologies, and patent-based trend analyses, relatively few have combined social needs with patent data to explore technological opportunities. This study follows two-phase to identify unresolved technical problems in the field of AVs and to explore potential solutions through cross-industry technologies: 1) Social needs are extracted from news articles, and drivers of technological development are derived by analyzing the background information of patents. Sentence embedding is then used to analyze the correlation between social needs and patents, thereby identifying unmet technical problems. 2) SAO(Subject-Action-Object) structure analysis is applied to evaluate the potential for problem-solving within patents from other industries. The findings reveal the existence of technological gaps that cannot be resolved by existing AVs patents alone. By considering cross-industry technological convergence, more effective problem-solving becomes feasible. This study proposes cross-industry technologies applicable to the derived technical areas, thereby presenting strategic development path for AVs technology. This approach goes beyond trend analysis and demonstrates its contribution to the formulation of demand-driven technology strategies.

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