Toyota jidosha kabushiki kaisha (20240233403). ANOMALY DETECTION DEVICE, ANOMALY DETECTION METHOD, AND COMPUTER PROGRAM FOR DETECTING ANOMALIES simplified abstract

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ANOMALY DETECTION DEVICE, ANOMALY DETECTION METHOD, AND COMPUTER PROGRAM FOR DETECTING ANOMALIES

Organization Name

toyota jidosha kabushiki kaisha

Inventor(s)

Wataru Kawashima of Nisshin-shi Aichi-ken (JP)

ANOMALY DETECTION DEVICE, ANOMALY DETECTION METHOD, AND COMPUTER PROGRAM FOR DETECTING ANOMALIES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240233403 titled 'ANOMALY DETECTION DEVICE, ANOMALY DETECTION METHOD, AND COMPUTER PROGRAM FOR DETECTING ANOMALIES

The abstract describes an anomaly detection device that can assess the condition of a road surface by analyzing images of a vehicle's surroundings. It can detect abnormal conditions where the vehicle cannot travel normally and adjust the normal range based on the distribution of normal travel features extracted from images obtained during normal travel.

  • The device uses a feature extractor trained to extract features indicating road surface conditions from images.
  • It can identify abnormal conditions when the extracted feature falls outside a normal range.
  • The normal range is adjusted based on the distribution of normal travel features obtained from images during normal travel.
  • The device helps in detecting road surface anomalies that may affect the vehicle's ability to travel normally.
  • By continuously updating the normal range, the device can adapt to changing road conditions and improve anomaly detection accuracy.

Potential Applications: - Autonomous vehicles for real-time road condition monitoring. - Road maintenance vehicles to identify areas needing repair. - Traffic management systems to improve safety and efficiency.

Problems Solved: - Early detection of road surface anomalies. - Improved vehicle safety and performance. - Enhanced road maintenance planning.

Benefits: - Increased road safety for vehicles and pedestrians. - Reduced maintenance costs through proactive identification of road issues. - Enhanced overall transportation efficiency.

Commercial Applications: Title: "Advanced Anomaly Detection Device for Road Surface Monitoring" This technology can be utilized in: - Automotive industry for autonomous vehicles. - Transportation departments for road maintenance. - Traffic management companies for optimizing traffic flow.

Questions about the technology: 1. How does the device differentiate between normal and abnormal road conditions? - The device uses a trained feature extractor to analyze images and extract features indicating road surface conditions, comparing them to a normal range to identify anomalies.

2. How does the device adapt to changing road conditions? - The device continuously updates the normal range based on the distribution of normal travel features obtained from images during normal travel, allowing it to adapt to changing road conditions.


Original Abstract Submitted

an anomaly detection device includes a processor configured to extract a feature indicating the condition of a road surface by inputting an image representing surroundings of a vehicle into a feature extractor that has been trained to extract the feature, detect an abnormal condition in which the vehicle is unable to travel normally, when the feature is outside a normal range that is a tolerable range in which the vehicle is able to travel normally, and modify the normal range, based on the distribution of normal travel features each indicating the condition of a road surface and extracted from the respective images obtained while the vehicle travels normally.

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