View source for 17945845. SYSTEMS AND METHODS FOR USING COMPUTER VISION TO GUIDE PROCESSING OF RECEIVE RESPONSES OF RADAR SENSORS OF A VEHICLE simplified abstract (GM Cruise Holdings LLC)

=SYSTEMS AND METHODS FOR USING COMPUTER VISION TO GUIDE PROCESSING OF RECEIVE RESPONSES OF RADAR SENSORS OF A VEHICLE=


==Organization Name==

[[:Category:GM Cruise Holdings LLC|GM Cruise Holdings LLC]]


[[Category:GM Cruise Holdings LLC]]

==Inventor(s)==

[[:Category:Daniel Flores Tapia of Fairfield CA (US)|Daniel Flores Tapia of Fairfield CA (US)]][[Category:Daniel Flores Tapia of Fairfield CA (US)]]

==SYSTEMS AND METHODS FOR USING COMPUTER VISION TO GUIDE PROCESSING OF RECEIVE RESPONSES OF RADAR SENSORS OF A VEHICLE - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17945845 titled 'SYSTEMS AND METHODS FOR USING COMPUTER VISION TO GUIDE PROCESSING OF RECEIVE RESPONSES OF RADAR SENSORS OF A VEHICLE

==Simplified Explanation==

The abstract describes a patent application related to using computer vision to guide the processing of receive responses of RADAR sensors in a vehicle. 

* Systems and methods for using computer vision to guide processing of receive responses of RADAR sensors in a vehicle
* Receiving environment receive RF responses with RADAR sensors
* Receiving region of interest (ROI) information from an image processor
* Dynamically determining a number of polyphase filters based on the number of ROIs
* Adjusting parameters of the polyphase filters based on the ROI information

== Potential Applications ==
This technology could be applied in autonomous vehicles, collision avoidance systems, and traffic management systems.

== Problems Solved ==
This technology helps improve the accuracy and efficiency of RADAR sensor data processing in vehicles, leading to better decision-making and safety measures.

== Benefits ==
The benefits of this technology include enhanced situational awareness, improved object detection, and optimized processing of RADAR sensor data.

== Potential Commercial Applications ==
Potential commercial applications of this technology include automotive industry, transportation sector, and smart city infrastructure development.

== Possible Prior Art ==
One possible prior art could be the use of computer vision in conjunction with RADAR sensors for object detection and tracking in various applications.

=== What are the specific segments of the tentative set of ROIs with free space area boundaries provided by the image processing chain?
The specific segments of the tentative set of ROIs with free space area boundaries are not detailed in the abstract.

=== How does dynamically determining a number of polyphase filters based on the number of ROIs improve the processing of RADAR sensor data?
The abstract does not provide specific information on how dynamically determining a number of polyphase filters based on the number of ROIs improves the processing of RADAR sensor data.


==Original Abstract Submitted==

For some embodiments of the present disclosure, systems and methods for using computer vision to guide processing of receive responses of RADAR sensors of a vehicle are described. A computer implemented method comprises receiving, with one or more receivers of RADAR sensors, environment receive RF responses, receiving region of interest (ROI) information including segments of a tentative set of ROIs with free space area boundaries from an image processor of an image processing chain for the computer vision, dynamically determining a number of polyphase filters based on a number of ROIs having dynamic scenes that are provided by the image processing chain, and adjusting parameters of the polyphase filters of a RADAR processing chain based on the ROI information.



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