View source for 18064312. SYSTEMS AND METHODS FOR INFANT TRACK ASSOCIATION WITH RADAR DETECTIONS FOR VELOCITY TRANSFER simplified abstract (Ford Global Technologies, LLC)

=SYSTEMS AND METHODS FOR INFANT TRACK ASSOCIATION WITH RADAR DETECTIONS FOR VELOCITY TRANSFER=


==Organization Name==

[[:Category:Ford Global Technologies, LLC|Ford Global Technologies, LLC]]


[[Category:Ford Global Technologies, LLC]]

==Inventor(s)==

[[:Category:Shubhendra Chauhan of Mountain View CA (US)|Shubhendra Chauhan of Mountain View CA (US)]][[Category:Shubhendra Chauhan of Mountain View CA (US)]]

[[:Category:Xiufeng Song of San Jose CA (US)|Xiufeng Song of San Jose CA (US)]][[Category:Xiufeng Song of San Jose CA (US)]]

==SYSTEMS AND METHODS FOR INFANT TRACK ASSOCIATION WITH RADAR DETECTIONS FOR VELOCITY TRANSFER - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18064312 titled 'SYSTEMS AND METHODS FOR INFANT TRACK ASSOCIATION WITH RADAR DETECTIONS FOR VELOCITY TRANSFER

==Simplified Explanation==
This patent application describes a system for operating a sensor system that classifies tracks of objects as either infant or mature based on sensor data and adjusts the speed of the track using radar data.

* The system receives tracks of objects and classifies them based on various parameters.
* It uses radar data to modify the speed of infant tracks.
* The goal is to improve the accuracy and efficiency of the sensor system.

==Key Features and Innovation==
* Classification of tracks as infant or mature based on sensor data.
* Adjustment of track speed using radar data.
* Enhancing the performance of the sensor system by optimizing track speeds.

==Potential Applications==
This technology can be applied in various industries such as autonomous vehicles, surveillance systems, and robotics for improved object tracking and detection.

==Problems Solved==
* Enhances the accuracy of object tracking.
* Improves the efficiency of sensor systems.
* Enables better decision-making based on track classification.

==Benefits==
* Increased precision in object tracking.
* Enhanced overall performance of sensor systems.
* Improved safety and reliability in various applications.

==Commercial Applications==
Title: Enhanced Object Tracking System for Autonomous Vehicles and Surveillance
This technology can be utilized in autonomous vehicles for better navigation and collision avoidance, as well as in surveillance systems for enhanced security and monitoring capabilities.

==Prior Art==
Readers can explore prior research in sensor systems, object tracking, and radar technology to understand the evolution of similar technologies.

==Frequently Updated Research==
Stay updated on advancements in sensor technology, object tracking algorithms, and radar data processing to enhance the capabilities of this system.

==Questions about Sensor System==
===What are the key parameters used to classify tracks in this system?===
The system classifies tracks based on sensor detection type, number of cycles, number of sensor detections, object type, speed, and distance from the sensor.

===How does radar data help in modifying the speed of infant tracks?===
Radar data is used to adjust the speed of infant tracks to improve their accuracy and reliability in the sensor system.


==Original Abstract Submitted==

Disclosed herein are systems, methods, and computer program products for operating a sensor system. The methods comprise: receiving, by a computing device, a track for an object; classifying, by the computing device, the track as an infant track or a mature track based on a type of sensor detection used to generate the track, a total number of cycles in which the lidar detections were generated, a total number of sensor detections included in the track, an object type associated with the track, an object speed, and/or a distance between the object and the sensor system; using, by the computing device, radar data to modify a speed of the track in response to the track being classified as an infant track.



[[Category:G01S17/66]]
[[Category:G01S13/58]]
[[Category:G01S13/86]]
[[Category:G01S17/931]]
[[Category:CPC_G01S17/66]]