View source for 18375579. ANOMALY DETECTION DEVICE, ANOMALY DETECTION METHOD, AND COMPUTER PROGRAM FOR DETECTING ANOMALIES simplified abstract (TOYOTA JIDOSHA KABUSHIKI KAISHA)

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


==Organization Name==

[[:Category:TOYOTA JIDOSHA KABUSHIKI KAISHA|TOYOTA JIDOSHA KABUSHIKI KAISHA]]


[[Category:TOYOTA JIDOSHA KABUSHIKI KAISHA]]

==Inventor(s)==

[[:Category:Wataru Kawashima of Nisshin-shi Aichi-ken (JP)|Wataru Kawashima of Nisshin-shi Aichi-ken (JP)]][[Category: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 18375579 titled 'ANOMALY DETECTION DEVICE, ANOMALY DETECTION METHOD, AND COMPUTER PROGRAM FOR DETECTING ANOMALIES

==Simplified Explanation==

The patent application describes an anomaly detection device that can assess the condition of a road surface by analyzing images of the surroundings of a vehicle. It can detect abnormal conditions where the vehicle is unable to travel normally and adjust the normal range based on the distribution of normal travel features.

* Feature extraction from images to indicate road surface condition
* Detection of abnormal conditions based on extracted features
* Adjustment of normal range for vehicle travel based on feature distribution

== Potential Applications ==
The technology could be used in autonomous vehicles, road maintenance systems, and driver assistance systems.

== Problems Solved ==
The device helps in early detection of road surface anomalies, improving vehicle safety and performance.

== Benefits ==
Enhanced road safety, reduced vehicle damage, and improved driving experience are some of the benefits of this technology.

== Potential Commercial Applications ==
The device could be applied in the automotive industry, transportation infrastructure management, and smart city initiatives.

== Possible Prior Art ==
Similar technologies may exist in the field of computer vision for road monitoring and anomaly detection in various industries.

=== Unanswered Questions ===

=== How does the device handle extreme weather conditions? ===
The patent application does not specify how the device functions in extreme weather conditions such as heavy rain, snow, or fog. Further research and testing may be needed to determine the device's effectiveness in such scenarios.

=== What is the impact of false positives on the device's performance? ===
The patent application does not address the potential impact of false positives on the device's performance. Understanding the device's false positive rate and its implications for real-world applications is crucial for assessing its reliability and accuracy.


==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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