View source for 18273193. TRAINING DATA GENERATION DEVICE, TRAINIG DATA GENERATION METHOD, AND MEDIUM simplified abstract (NEC Corporation)

=TRAINING DATA GENERATION DEVICE, TRAINIG DATA GENERATION METHOD, AND MEDIUM=


==Organization Name==

[[:Category:NEC Corporation|NEC Corporation]]


[[Category:NEC Corporation]]

==Inventor(s)==

[[:Category:Chisato Sugawara of Tokyo (JP)|Chisato Sugawara of Tokyo (JP)]][[Category:Chisato Sugawara of Tokyo (JP)]]

[[:Category:Gaku Nakano of Tokyo (JP)|Gaku Nakano of Tokyo (JP)]][[Category:Gaku Nakano of Tokyo (JP)]]

[[:Category:Nana Jumonji of Tokyo (JP)|Nana Jumonji of Tokyo (JP)]][[Category:Nana Jumonji of Tokyo (JP)]]

[[:Category:Yosuke Kimura of Tokyo (JP)|Yosuke Kimura of Tokyo (JP)]][[Category:Yosuke Kimura of Tokyo (JP)]]

==TRAINING DATA GENERATION DEVICE, TRAINIG DATA GENERATION METHOD, AND MEDIUM - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18273193 titled 'TRAINING DATA GENERATION DEVICE, TRAINIG DATA GENERATION METHOD, AND MEDIUM

==Simplified Explanation==

The abstract of the patent application describes a training data generation device that selects sensor information related to the state of a road, its type, acquisition conditions, and external environment, and uses this information as training data to train a model for determining the state of the road.

* The device includes a memory and at least one processor.
* The processor selects various items related to the state of a road and sensor information.
* It extracts sensor information using the selected items as training data for a model.
* The model is used to determine the state of the road based on the sensor information.

== Potential Applications ==
This technology can be applied in the development of advanced driver assistance systems (ADAS) and autonomous vehicles to improve road safety and navigation.

== Problems Solved ==
1. Enhances the accuracy of road state determination by training models with relevant sensor information.
2. Streamlines the process of generating training data for road state detection algorithms.

== Benefits ==
1. Improved road safety through more accurate road state detection.
2. Enhanced efficiency in developing ADAS and autonomous vehicle systems.
3. Reduction in accidents and traffic congestion.

== Potential Commercial Applications ==
'''Enhancing Road Safety with Advanced Driver Assistance Systems (ADAS)'''

=== Unanswered Questions ===

=== How does this technology impact data privacy and security in the context of road state detection systems? ===

=== What are the potential limitations or challenges in implementing this technology in real-world scenarios? ===


==Original Abstract Submitted==

A training data generation device according to the present invention includes: a memory; and at least one processor coupled to the memory. The processor performs operations. The operations including: selecting, from items included in any of a state of a road, a type of the road, a type of sensor information for determining the state of the road, an acquisition condition of the sensor information and an external environment in an acquisition of the sensor information, a combination including at least two or more of the items; and extracting the sensor information using the combination as training data to be used for training a model for determining the state of the road using the sensor information.



[[Category:E01C23/01]]
[[Category:G06T7/00]]
[[Category:G06V10/774]]