View source for Toyota jidosha kabushiki kaisha (20240210193). INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM STORING INFORMATION PROCESSING PROGRAM simplified abstract

=INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM STORING INFORMATION PROCESSING PROGRAM=


==Organization Name==

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


[[Category:toyota jidosha kabushiki kaisha]]

==Inventor(s)==

[[:Category:Kyosuke Matsumoto of Miyoshi-shi Aichi-ken (JP)|Kyosuke Matsumoto of Miyoshi-shi Aichi-ken (JP)]][[Category:Kyosuke Matsumoto of Miyoshi-shi Aichi-ken (JP)]]

[[:Category:Osami Hashimoto of Mishima-shi Shizuoka-ken (JP)|Osami Hashimoto of Mishima-shi Shizuoka-ken (JP)]][[Category:Osami Hashimoto of Mishima-shi Shizuoka-ken (JP)]]

[[:Category:Hiroki Tashima of Fujisawa-shi Kanagawa-ken (JP)|Hiroki Tashima of Fujisawa-shi Kanagawa-ken (JP)]][[Category:Hiroki Tashima of Fujisawa-shi Kanagawa-ken (JP)]]

[[:Category:Toshihiko Inoue of Nagoya-shi Aichi-ken (JP)|Toshihiko Inoue of Nagoya-shi Aichi-ken (JP)]][[Category:Toshihiko Inoue of Nagoya-shi Aichi-ken (JP)]]

[[:Category:Kazuma Toya of Anjyo-shi Aichi-ken (JP)|Kazuma Toya of Anjyo-shi Aichi-ken (JP)]][[Category:Kazuma Toya of Anjyo-shi Aichi-ken (JP)]]

[[:Category:Takashi Tazoe of Nagoya-shi Aichi-ken (JP)|Takashi Tazoe of Nagoya-shi Aichi-ken (JP)]][[Category:Takashi Tazoe of Nagoya-shi Aichi-ken (JP)]]

[[:Category:Ryota Bingo of Nisshin-shi Aichi-ken (JP)|Ryota Bingo of Nisshin-shi Aichi-ken (JP)]][[Category:Ryota Bingo of Nisshin-shi Aichi-ken (JP)]]

[[:Category:Kosuke Sakakibara of Toyota-shi Aichi-ken (JP)|Kosuke Sakakibara of Toyota-shi Aichi-ken (JP)]][[Category:Kosuke Sakakibara of Toyota-shi Aichi-ken (JP)]]

==INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM STORING INFORMATION PROCESSING PROGRAM - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240210193 titled 'INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM STORING INFORMATION PROCESSING PROGRAM

The patent application describes an information processing device that utilizes preference information related to specific vehicle categories to provide route information based on the likelihood of encountering certain types of vehicles.

* The processor receives preference information about vehicle categories to avoid or encounter.
* It acquires satellite images of the host vehicle's travel path surroundings.
* The device detects vehicles corresponding to the specified categories in the satellite images.
* Route information is then outputted to the display region inside the host vehicle, suggesting routes with low or high probabilities of encountering specific vehicle categories.

Potential Applications:
- Navigation systems in vehicles
- Autonomous driving technology
- Fleet management systems

Problems Solved:
- Enhancing safety by avoiding certain types of vehicles
- Providing customized route recommendations based on user preferences

Benefits:
- Improved efficiency in route planning
- Enhanced user experience in navigation
- Increased safety on the road

Commercial Applications:
Title: "Smart Navigation Systems for Enhanced Safety and Efficiency"
This technology can be utilized by automotive companies, transportation services, and navigation app developers to offer advanced route planning solutions to their customers.

Prior Art:
Researchers can explore existing patents related to vehicle navigation systems, satellite imaging technology, and artificial intelligence in the automotive industry.

Frequently Updated Research:
Stay updated on advancements in satellite imaging technology, machine learning algorithms for vehicle detection, and user interface design for in-vehicle displays.

Questions about the technology:
1. How does the device determine the probability of encountering specific vehicle categories along a route?
2. What are the privacy implications of using satellite images for vehicle detection in navigation systems?


==Original Abstract Submitted==

an information processing device, comprising a processor that is configured to: receive, as preference information, information related to a specific category comprising at least one of a category of vehicle to avoid encountering or a category of vehicle for which an encounter is desired; acquire a satellite image of travel path surroundings of a host vehicle; detect another vehicle, which corresponds to the specific category, based on the preference information, from among other vehicles captured in the satellite image; and output, to a display region provided inside the vehicle cabin of the host vehicle, route information related to a route comprising at least one of a route having a low probability of encountering another vehicle, which corresponds to the category of vehicle to avoid encountering, or a route having a high probability of encountering another vehicle, which corresponds to the category of vehicle for which an encounter is desired.



[[Category:G01C21/34]]
[[Category:CPC_G01C21/3492]]