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<p>Hazardous blind curves impose a serious safety problem as visibility beyond the curvature of the road is obstructed due to the shape of the road and often vegetation as well. This lack of visibility causes automobile drivers and pedestrians not to see oncoming vehicles or possible hazards. Many traditional solutions, such as convex mirrors, have not proven to be reliable or effective. Our research tackles the endemic issue of roadway safety at sharp curves by designing an innovative system specifically addressing roadway safety using Lidar sensor technology monitoring LCD data displays. The Lidar speed sensors collect speed and distance data of vehicles, pedestrians, or hazards—both detected and object recognition—to improve visibility and roadway safety. The Lidar sensors collect data on vehicles and road hazards. The system utilizes optical bonding materials in the LCD data display to keep warnings visible, even in poor light and inclement weather. This research centers on the design, development, and evaluation of this system, including the operational methodology of the lidar sensors for data collection and development of algorithms for data processing to optimize the functionality of the optical bonding LCD technology. The field tests or controlled simulations of the system’s reliability, safety, and effectiveness across various weather and lighting conditions yielded positive findings. The extraordinary numbers confirmed this system’s impact on reducing accidents and safety risk from vehicles approaching blind curves. The demonstrated enhancement of road safety related to this design and technology provides improved means for success in managing traffic flow. Our system adaptable use of Lidar Acuity AS1100 sensor technology linked to optical bonding LCD data displays yielded data creating a threshold of up to 95% accuracy in detecting distance of up to 150&#xa0;m, even in inclement weather. The new research methodology addresses an obstacle with a new, effective strategy for preventing accidents and minimize roadway traffic collisions.</p>

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Integration of LiDAR and optical bonding LCD for intelligent blind curve detection systems

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年10月16日

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  • Hashmat Fida,
  • Harsh Sadawarti,
  • Binod Kumar Mishra,
  • Ashaq Hussain Bhat,
  • Saikat Gochhait,
  • Sami Alshmrany

摘要

Hazardous blind curves impose a serious safety problem as visibility beyond the curvature of the road is obstructed due to the shape of the road and often vegetation as well. This lack of visibility causes automobile drivers and pedestrians not to see oncoming vehicles or possible hazards. Many traditional solutions, such as convex mirrors, have not proven to be reliable or effective. Our research tackles the endemic issue of roadway safety at sharp curves by designing an innovative system specifically addressing roadway safety using Lidar sensor technology monitoring LCD data displays. The Lidar speed sensors collect speed and distance data of vehicles, pedestrians, or hazards—both detected and object recognition—to improve visibility and roadway safety. The Lidar sensors collect data on vehicles and road hazards. The system utilizes optical bonding materials in the LCD data display to keep warnings visible, even in poor light and inclement weather. This research centers on the design, development, and evaluation of this system, including the operational methodology of the lidar sensors for data collection and development of algorithms for data processing to optimize the functionality of the optical bonding LCD technology. The field tests or controlled simulations of the system’s reliability, safety, and effectiveness across various weather and lighting conditions yielded positive findings. The extraordinary numbers confirmed this system’s impact on reducing accidents and safety risk from vehicles approaching blind curves. The demonstrated enhancement of road safety related to this design and technology provides improved means for success in managing traffic flow. Our system adaptable use of Lidar Acuity AS1100 sensor technology linked to optical bonding LCD data displays yielded data creating a threshold of up to 95% accuracy in detecting distance of up to 150 m, even in inclement weather. The new research methodology addresses an obstacle with a new, effective strategy for preventing accidents and minimize roadway traffic collisions.