Susan Y Chen

US Patent:

20220308198, Sep 29, 2022

Filed:

Feb 2, 2022

Appl. No.:

17/649794

Inventors:

- St. Michael, BB
David Aaron Schwartz - Moorpark CA, US
Susan Yu-Ping Chen - Los Angeles CA, US
Nianxia Cao - Oak Park CA, US

International Classification:

G01S 13/66
G01S 13/931
G01S 13/87

Abstract:

This document describes radar tracking with model estimates augmented by radar detections. An example tracker analyzes information derived using radar detections to enhance radar tracks having object measurements estimated from directly analyzing data cubes with a model (e.g., a machine-learning model). High-quality tracks with measurements to objects of importance can be quickly produced with the model. However, the model only estimates measurements for classes of objects its training or programming can recognize. To improve estimated measurements from the model, or even in some cases, to convey additional classes of objects, the tracker separately analyzes detections. Detections that consistently align to objects recognized by the model can update model-derived measurements conveyed initially in the tracks. Consistently observed detections that do not align to existing tracks may be used to establish new tracks for conveying more classes of objects than the model can recognize.

US Patent:

20210374974, Dec 2, 2021

Filed:

Aug 16, 2021

Appl. No.:

17/403690

Inventors:

- St. Michael, BB
Jan K. Schiffmann - Newbury Park CA, US
Kumar Vishwajeet - Pasadena CA, US
Susan Chen - Los Angeles CA, US

International Classification:

G06T 7/246
G06T 7/50
G06T 7/60

Abstract:

An illustrative example method of tracking an object includes detecting one or more points on the object over time to obtain a plurality of detections, determining a position of each of the detections, determining a relationship between the determined positions, and determining an estimated heading angle of the object based on the relationship.

US Patent:

20200349718, Nov 5, 2020

Filed:

Apr 30, 2019

Appl. No.:

16/398745

Inventors:

- St. Michael, BB
Jan K. Schiffmann - Newbury Park CA, US
Kumar Vishwajeet - Pasadena CA, US
Susan Chen - Los Angeles CA, US

International Classification:

G06T 7/246
G06T 7/60
G06T 7/50

Abstract:

An illustrative example method of tracking an object includes detecting one or more points on the object over time to obtain a plurality of detections, determining a position of each of the detections, determining a relationship between the determined positions, and determining an estimated heading angle of the object based on the relationship.

US Patent:

20180203124, Jul 19, 2018

Filed:

Jan 17, 2017

Appl. No.:

15/407419

Inventors:

- Troy MI, US
Susan Chen - Los Angeles CA, US

International Classification:

G01S 17/93
G01S 17/89
G01S 13/86

Abstract:

An object detection system includes a lidar-unit and a controller. The controller defines an occupancy-grid that segregates the field-of-view into columns, determine a first-occupancy-status of a column based on first-cloud-points detected by the lidar-unit in the column by a first-scan, determine a second-occupancy-status of the column based second-cloud-points detected in the column by a second-scan, determine a first-number of the first-cloud-points and a second-number of the second-cloud-points, and determine a dynamic-status of the column only if the column is classified as occupied by either the first-occupancy-status or the second-occupancy-status. The dynamic-status of the column is determined to be moving when a count-difference between the first-number and the second-number is greater than a difference-threshold, and the dynamic-status of the column is determined to be static when the count-difference is not greater than the difference-threshold and a registration-factor that aligns the first-cloud-points to the second-cloud-points is less than a registration-threshold.