18378489. ROAD ABNORMALITY DETECTION APPARATUS, ROAD ABNORMALITY DETECTION METHOD AND ROAD ABNORMALITY DETECTION PROGRAM simplified abstract (TOYOTA JIDOSHA KABUSHIKI KAISHA)

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ROAD ABNORMALITY DETECTION APPARATUS, ROAD ABNORMALITY DETECTION METHOD AND ROAD ABNORMALITY DETECTION PROGRAM

Organization Name

TOYOTA JIDOSHA KABUSHIKI KAISHA

Inventor(s)

Kazuaki Takemura of Nagoya-shi (JP)

Makoto Matsushita of Ichinomiya-shi (JP)

Tae Sugimura of Miyoshi-shi (JP)

Hideo Hasegawa of Nagoya-shi (JP)

Tomoaki Umeki of Toyota-shi (JP)

ROAD ABNORMALITY DETECTION APPARATUS, ROAD ABNORMALITY DETECTION METHOD AND ROAD ABNORMALITY DETECTION PROGRAM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18378489 titled 'ROAD ABNORMALITY DETECTION APPARATUS, ROAD ABNORMALITY DETECTION METHOD AND ROAD ABNORMALITY DETECTION PROGRAM

Simplified Explanation

The road abnormality detection apparatus described in the patent application includes a memory and a processor with hardware. The processor is configured to receive a road image and image capturing position information from a traveling vehicle. It then recognizes a road facility and its position based on the road image and image capturing position information. The processor determines whether there is an abnormality in the road facility by comparing it with correctness information prepared in advance. If an abnormality is detected, the apparatus accumulates facility position information indicating the position of the road facility with the abnormality in the memory.

  • The apparatus receives a road image and image capturing position information from a traveling vehicle.
  • It recognizes a road facility and its position based on the road image and image capturing position information.
  • The apparatus determines whether there is an abnormality in the road facility by comparing it with correctness information.
  • If an abnormality is detected, the apparatus accumulates facility position information indicating the position of the road facility with the abnormality in the memory.

Potential applications of this technology:

  • Road maintenance and inspection: The apparatus can be used to detect abnormalities in road facilities such as signs, markings, or barriers, allowing for timely repairs or replacements.
  • Autonomous vehicles: The technology can be integrated into autonomous vehicles to enhance their perception of road conditions and improve safety.

Problems solved by this technology:

  • Early detection of road facility abnormalities: The apparatus allows for the early detection of abnormalities in road facilities, preventing potential accidents or hazards caused by damaged or malfunctioning infrastructure.
  • Efficient road maintenance: By accurately identifying the location of road facility abnormalities, maintenance crews can efficiently prioritize and address repairs, reducing costs and minimizing disruptions to traffic.

Benefits of this technology:

  • Improved road safety: The early detection of road facility abnormalities helps prevent accidents and ensures the safety of drivers and pedestrians.
  • Cost and time savings: By efficiently identifying and addressing road facility abnormalities, maintenance efforts can be optimized, saving costs and reducing the time required for repairs.
  • Enhanced infrastructure management: The accumulation of facility position information allows for better monitoring and management of road facilities, leading to improved maintenance planning and resource allocation.


Original Abstract Submitted

A road abnormality detection apparatus includes: a memory; and a processor having hardware, wherein the processor is configured to: receive, from a traveling vehicle, a road image indicating an image of a surface of a road or a periphery of the road and image capturing position information indicating a position where the road image is captured; recognize a road facility included in the road image and a position of the road facility based on the road image and the image capturing position information; determine whether or not abnormality exists in the road facility by comparing the road facility included in the road image and correctness information that is prepared in advance; and accumulate, in the memory, facility position information indicating the position of the road facility that the abnormality exists in when it is determined that the abnormality exists in the road facility.

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