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<p>Most drivers just slow down without completely stopping at stop sign-controlled intersections. To avoid collision, a driver should stop firmly and watch for a safe opportunity to continue driving. We have developed an Assistant System for Safe Driving by Informative Supervision and Training (ASSIST). Previously, the detection of stop-sign controlled intersections involved two separate functions: one using sign recognition via edge AI devices and another utilizing an information database (DB) and GPS. In this study, we developed the educational function using both sign recognition and location information. Two actual vehicle driving experiments were conducted, showing that sign recognition alone sometimes succeeds and sometimes fails in recognizing the same stop sign location depending on driving conditions, such as weather, time of day, and road position. Therefore, combining sign recognition with location information can gradually increase the number of correctly identified locations, improving overall detection rates.</p>

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Development of the Educational Function for Stop Sign-Controlled Intersections using both Sign Recognition and Location Information in Safe Driving Education System

  • 期刊论文

  • 发表日期：

    2026年1月26日

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  • Kazuaki Goshi,
  • Manato Ando,
  • Yasuaki Sumida,
  • Masaki Hayashi,
  • Katsuya Matsunaga

摘要

Most drivers just slow down without completely stopping at stop sign-controlled intersections. To avoid collision, a driver should stop firmly and watch for a safe opportunity to continue driving. We have developed an Assistant System for Safe Driving by Informative Supervision and Training (ASSIST). Previously, the detection of stop-sign controlled intersections involved two separate functions: one using sign recognition via edge AI devices and another utilizing an information database (DB) and GPS. In this study, we developed the educational function using both sign recognition and location information. Two actual vehicle driving experiments were conducted, showing that sign recognition alone sometimes succeeds and sometimes fails in recognizing the same stop sign location depending on driving conditions, such as weather, time of day, and road position. Therefore, combining sign recognition with location information can gradually increase the number of correctly identified locations, improving overall detection rates.