View source for 20240017742. ELECTRONIC CONTROL DEVICE AND VEHICLE CONTROL SYSTEM simplified abstract (Hitachi Astemo, Ltd.)

=ELECTRONIC CONTROL DEVICE AND VEHICLE CONTROL SYSTEM=


==Organization Name==

[[:Category:Hitachi Astemo, Ltd.|Hitachi Astemo, Ltd.]]


[[Category:Hitachi Astemo, Ltd.]]

==Inventor(s)==

[[:Category:Hirokazu Funai of Chiyoda-ku, Tokyo (JP)|Hirokazu Funai of Chiyoda-ku, Tokyo (JP)]][[Category:Hirokazu Funai of Chiyoda-ku, Tokyo (JP)]]

==ELECTRONIC CONTROL DEVICE AND VEHICLE CONTROL SYSTEM - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240017742 titled 'ELECTRONIC CONTROL DEVICE AND VEHICLE CONTROL SYSTEM

==Simplified Explanation==

The present disclosure describes an electronic control device and a vehicle control system that can handle an increase in communication load and processing load when acquiring surrounding monitoring information. The electronic control device is mounted on a vehicle and includes a scene prediction unit and a filtering unit. 

* The scene prediction unit predicts driving scenes that the vehicle will encounter based on the vehicle's position information, map information around the vehicle, and the vehicle's travel route.
* The filtering unit calculates a risk index for each recognition result of multiple objects around the vehicle based on the driving scenes, the recognition results of the objects, and risk information. The risk index is defined for each driving scene and each type of recognition result of the objects.
* The filtering unit selectively passes the recognition result of an object if its risk index exceeds a prescribed value.

Potential applications of this technology:

* Autonomous vehicles: The electronic control device and vehicle control system can be used in autonomous vehicles to enhance their ability to monitor and assess the surrounding environment, improving safety and decision-making.
* Traffic management systems: The technology can be integrated into traffic management systems to provide real-time monitoring and analysis of objects on the road, helping to optimize traffic flow and prevent accidents.

Problems solved by this technology:

* Increased communication load: The technology addresses the challenge of handling a higher volume of communication data caused by an increase in the number of objects to be monitored.
* Increased processing load: The technology tackles the issue of increased processing load when acquiring surrounding monitoring information, ensuring efficient and timely analysis of the data.

Benefits of this technology:

* Improved safety: By accurately predicting driving scenes and assessing the risk of objects, the technology helps prevent accidents and enhances overall road safety.
* Enhanced efficiency: The filtering unit selectively passes only the recognition results of objects with a high risk index, reducing the processing load and improving the efficiency of data analysis.
* Adaptability to changing environments: The scene prediction unit takes into account the vehicle's position, map information, and travel route, allowing the system to adapt to different driving scenarios and environments.


==Original Abstract Submitted==

the present disclosure provides an electronic control device and a vehicle control system capable of coping with an increase in communication load, caused by an increase in the number of objects to be monitored, and an increase in processing load at the time of acquiring surrounding monitoring information. an electronic control device  according to the present disclosure is mounted on a vehicle v and includes a scene prediction unit  and a filtering unit . the scene prediction unit  predicts driving scenes to be encountered by the vehicle v based on position information of the vehicle v, map information around the vehicle v, and a travel route of the vehicle v. the filtering unit  derives a risk index for each of recognition results of a plurality of objects around the vehicle v based on the driving scenes, the recognition results of the objects, and risk information in which the risk index is defined for each of the driving scenes and each of types of the recognition results of the objects. furthermore, the filtering unit  selectively passes the recognition result of the object having the risk index exceeding the prescribed value.



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