View source for Toyota jidosha kabushiki kaisha (20240119762). INFORMATION PROCESSING DEVICE, VEHICLE, INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND NON-TEMPORARY STORAGE MEDIUM simplified abstract

=INFORMATION PROCESSING DEVICE, VEHICLE, INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND NON-TEMPORARY STORAGE MEDIUM=


==Organization Name==

[[:Category:toyota jidosha kabushiki kaisha|toyota jidosha kabushiki kaisha]]


[[Category:toyota jidosha kabushiki kaisha]]

==Inventor(s)==

[[:Category:Yoshihisa Yamada of Nagoya-shi (JP)|Yoshihisa Yamada of Nagoya-shi (JP)]][[Category:Yoshihisa Yamada of Nagoya-shi (JP)]]

[[:Category:Shoji Kubota of Nagoya-shi (JP)|Shoji Kubota of Nagoya-shi (JP)]][[Category:Shoji Kubota of Nagoya-shi (JP)]]

[[:Category:Masashi Nose of Miyoshi-shi (JP)|Masashi Nose of Miyoshi-shi (JP)]][[Category:Masashi Nose of Miyoshi-shi (JP)]]

==INFORMATION PROCESSING DEVICE, VEHICLE, INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND NON-TEMPORARY STORAGE MEDIUM - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240119762 titled 'INFORMATION PROCESSING DEVICE, VEHICLE, INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND NON-TEMPORARY STORAGE MEDIUM

==Simplified Explanation==

The patent application describes an information processing method executed by a device to calculate and transmit information on driving-related features to an external source. The method involves determining if a current situation is a predetermined situation, calculating information on the predetermined situation as the feature, statistically quantifying the feature, and transmitting the quantified feature externally.

* Specifying predetermined driving situations
* Calculating information on predetermined situations
* Statistically quantifying driving-related features
* Transmitting quantified features externally

== Potential Applications ==
This technology could be applied in the development of driver assistance systems, insurance telematics, and fleet management solutions.

== Problems Solved ==
This technology helps in identifying specific driving situations, analyzing driving behavior, and providing valuable insights for improving road safety and efficiency.

== Benefits ==
The benefits of this technology include enhanced driver monitoring, risk assessment, and personalized feedback for drivers to improve their driving habits.

== Potential Commercial Applications ==
The potential commercial applications of this technology include automotive industry, insurance companies, transportation companies, and smart city initiatives.

== Possible Prior Art ==
One possible prior art could be existing driver monitoring systems that analyze driving behavior but may not specifically focus on statistically quantifying driving-related features for external transmission.

=== Unanswered Questions ===

=== How does this technology handle data privacy concerns? ===
This article does not address the specific measures or protocols in place to ensure the privacy and security of the transmitted driving-related data.

=== What are the potential limitations or challenges of implementing this technology? ===
The article does not discuss any potential obstacles such as technical limitations, regulatory compliance issues, or user acceptance challenges that could arise during the implementation of this technology.


==Original Abstract Submitted==

an information processing method that is executed by an information processing device configured to calculate a feature relating to driving by a driver and transmit configured to information on the feature to outside includes specifying whether a current situation is a predetermined situation, calculating information on the predetermined situation as the feature when the information processing device specifies the predetermined situation, statistically quantifying the feature, and transmitting the statistically quantified feature to outside.



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