Granted Patent B2

US 12,429,579 · App. 17/851,302 · Granted Sep 30, 2025

Inventors: Yao-Tsung Chang (New Taipei, TW); Yin-Yu Chen (New Taipei, TW); Chuan-Yen Kao (New Taipei, TW); Kai-Jen Cheng (New Taipei, TW); Cheng-Nung Liao (New Taipei, TW)

Assignee: WISTRON CORPORATION

G01S13/89G01S13/72

Abstract

Claims (59)

1. A radar detection system, comprising:

a radar unit, configured to generate a radio frequency signal, radiate the radio frequency signal, receive a feedback signal, and demodulate and digitalize the feedback signal to obtain a digital feedback signal;

a pointing control unit, configured to adjust a field of view direction of the radar unit based on a control signal; and

a processing unit, configured to perform the following steps in one scanning round:

(a) obtaining at least one cluster of a current frame and a current status and a next status of each of the at least one cluster based on the digital feedback signal; and

(b) determining a displacement, and determining the edge of the current field of view based on the displacement; and determining, based on the current status of a tracked cluster in the at least one cluster, whether the tracked cluster is located on an edge of a current field of view of the radar unit; and sending the control signal based on the next status of the tracked cluster in response to the tracked cluster being located on the edge of the current field of view, to adjust the field of view direction of the radar unit;

wherein the current status of each of the at least one cluster comprises a current coordinate position and a current speed, and step (b) comprises: determining, by the processing unit, the displacement based on a reaction time required for the adjustment of the field of view direction of the radar unit and the current speed, and determining, based on the current coordinate position, whether the tracked cluster is located on the edge of the current field of view of the radar unit.

2. The radar detection system according to claim 1 , wherein step (a) performed by the processing unit in the scanning round comprises:

(a1) generating a point cloud image based on the digital feedback signal;

(a2) performing a clustering analysis on the point cloud image according to a clustering algorithm to obtain the at least one cluster of the current frame and obtain the current status of each of the at least one cluster based on current information of the current frame; and

(a3) determining an identification mark of each of the at least one cluster by using a calculation program, previous information of a previous frame, and the current status of each of the at least one cluster, and predicting the next status of each of the at least one cluster based on the current status of each of the at least one cluster.

3. A radar detection system, comprising:

a radar unit, configured to generate a radio frequency signal, radiate the radio frequency signal, receive a feedback signal, and demodulate and digitalize the feedback signal to obtain a digital feedback signal;

a pointing control unit, configured to adjust a field of view direction of the radar unit based on a control signal; and

a processing unit, configured to perform the following steps in one scanning round:

(a) obtaining at least one cluster of a current frame and a current status and a next status of each of the at least one cluster based on the digital feedback signal; and

(b) determining a displacement, and determining the edge of the current field of view based on the displacement; and determining, based on the current status of a tracked cluster in the at least one cluster, whether the tracked cluster is located on an edge of a current field of view of the radar unit; and sending the control signal based on the next status of the tracked cluster in response to the tracked cluster being located on the edge of the current field of view, to adjust the field of view direction of the radar unit;

wherein the displacement is a predetermined fixed quantity, the current status of each of the at least one cluster comprises a current coordinate position, and step (b) comprises: determining, based on the current coordinate position of the tracked cluster, whether the tracked cluster is located on the edge of the current field of view of the radar unit.

4. The radar detection system according to claim 2 , wherein the calculation program comprises an association algorithm and a tracking algorithm, the previous information of the previous frame comprises a tracked object status of at least one tracked object, and step (a3) comprises: establishing, by the processing unit, an association between the at least one cluster and the at least one tracked object by using the association algorithm based on the tracked object status of each of the at least one tracked object and the current status of each of the at least one cluster, to determine the identification mark of each of the at least one cluster, and predicting the next status of each of the at least one cluster by using the tracking algorithm based on the current status of each of the at least one cluster.

5. The radar detection system according to claim 4 , wherein the calculation program comprises the association algorithm and the tracking algorithm, the previous information of the previous frame comprises the tracked object status of the at least one tracked object, and step (a3) further comprises: predicting, by the processing unit in response to at least one unassociated tracked object for which the association is not established with the at least one cluster existing in the at least one tracked object, a next tracked object status of each of the at least one unassociated tracked object by using the tracking algorithm based on a tracked object status of each of the at least one unassociated tracked object, to provide a status prediction for each of the at least one unassociated tracked object.

6. The radar detection system according to claim 4 , wherein the association algorithm is selected from a group consisting of a Hungarian algorithm, global nearest neighbor, a probabilistic data association filter, and a joint probabilistic data association filter.

7. The radar detection system according to claim 2 , wherein the calculation program comprises a probability calculation program and a tracking algorithm, the current status of each of the at least one cluster comprises a status component, the previous information of the previous frame comprises at least one probability distribution related to the status component of the current status and the identification mark of each of the at least one cluster, and the probability calculation program comprises calculating, according to the at least one probability distribution and the status component of the current status of each of the at least one cluster, a probability that the identification mark of each of the at least one cluster is an article in a category; and step (a3) comprises: determining the identification mark of each of the at least one cluster based on the probability that the identification mark of each of the at least one cluster is the article in the category; and predicting, by the processing unit, the next status of each of the at least one cluster by using the tracking algorithm based on the current status of each of the at least one cluster, wherein the status component of the current status is selected from a group consisting of a position and a physiological characteristic.

8. The radar detection system according to claim 2 , wherein the radio frequency signal is a frequency modulated continuous wave (FMCW) signal, and step (a1) comprises:

(a11) performing range processing and Doppler processing on a raw data cube formed by the digital feedback signal, to obtain a processed data cube;

(a12) performing moving target indication (MTI) on the processed data cube to remove a static point in the processed data cube;

(a13) after step (a12), removing, by using a detection algorithm, a point in the processed data cube generated by a noise background; and

(a14) after step (a13), performing angle processing on the processed data cube to generate the point cloud image.

9. The radar detection system according to claim 2 , wherein the clustering algorithm is selected from a group consisting of peak grouping, density-based spatial clustering of applications with noise, modified density-based spatial clustering of applications with noise, and hierarchical density-based spatial clustering of applications with noise; and the processing unit determines a position of the current status of each of the at least one cluster based on a physical center of the cluster, wherein the physical center is selected from a group consisting of a centroid of a plurality of corresponding point clouds of the cluster and a central point of an outer frame of the cluster.

10. The radar detection system according to claim 2 , wherein the radar unit comprises an antenna unit and a front-end unit, the antenna unit is configured to radiate the radio frequency signal to a free space and receive the feedback signal, and the front-end unit is configured to generate the radio frequency signal and demodulate and digitalize the feedback signal to obtain the digital feedback signal.

11. A radar field of view direction adjustment method, applicable to a radar detection system and performed by a processing unit, the radar detection system comprising:

a radar unit, configured to generate a radio frequency signal, radiate the radio frequency signal, receive a feedback signal, and demodulate and digitalize the feedback signal to obtain a digital feedback signal;

a pointing control unit, configured to adjust a field of view direction of the radar unit based on a control signal; and

the processing unit; and

the field of view direction adjustment method comprising the following steps in one scanning round:

(a) obtaining at least one cluster of a current frame and a current status and a next status of each of the at least one cluster based on the digital feedback signal; and

(b) determining a displacement, and determining, based on the current status of a tracked cluster in the at least one cluster, whether the tracked cluster is located on an edge of a current field of view of the radar unit; and sending the control signal based on the next status of the tracked cluster in response to the tracked cluster being located on the edge of the current field of view, to adjust the field of view direction of the radar unit;

wherein the current status of each of the at least one cluster comprises a current coordinate position and a current speed, and step (b) comprises: determining, by the processing unit, the displacement based on a reaction time required for the adjustment of the field of view direction of the radar unit and the current speed, and determining, based on the current coordinate position, whether the tracked cluster is located on the edge of the current field of view of the radar unit.

12. The field of view direction adjustment method according to claim 11 , wherein step (a) comprises:

(a1) generating a point cloud image based on the digital feedback signal;

(a2) performing a clustering analysis on the point cloud image according to a clustering algorithm to obtain the at least one cluster of the current frame and obtain the current status of each of the at least one cluster based on current information of the current frame; and

(a3) determining an identification mark of each of the at least one cluster by using a calculation program, previous information of a previous frame, and the current status of each of the at least one cluster, and predicting the next status of each of the at least one cluster based on the current status of each of the at least one cluster.

13. A radar field of view direction adjustment method, applicable to a radar detection system and performed by a processing unit, the radar detection system comprising:

a radar unit, configured to generate a radio frequency signal, radiate the radio frequency signal, receive a feedback signal, and demodulate and digitalize the feedback signal to obtain a digital feedback signal;

a pointing control unit, configured to adjust a field of view direction of the radar unit based on a control signal; and

the processing unit; and

the field of view direction adjustment method comprising the following steps

in one scanning round:

(a) obtaining at least one cluster of a current frame and a current status and a next status of each of the at least one cluster based on the digital feedback signal; and

(b) determining a displacement, and determining, based on the current status of a tracked cluster in the at least one cluster, whether the tracked cluster is located on an edge of a current field of view of the radar unit; and sending the control signal based on the next status of the tracked cluster in response to the tracked cluster being located on the edge of the current field of view, to adjust the field of view direction of the radar unit;

wherein the displacement is a predetermined fixed quantity, the current status of each of the at least one cluster comprises a current coordinate position, and step (b) comprises: determining, based on the current coordinate position of the tracked cluster, whether the tracked cluster is located on the edge of the current field of view of the radar unit.

14. The field of view direction adjustment method according to claim 12 , wherein the calculation program comprises an association algorithm and a tracking algorithm, the previous information of the previous frame comprises a tracked object status of at least one tracked object, and step (a3) comprises: establishing, by the processing unit, an association between the at least one cluster and the at least one tracked object by using the association algorithm based on the tracked object status of each of the at least one tracked object and the current status of each of the at least one cluster, to determine the identification mark of each of the at least one cluster, and predicting the next status of each of the at least one cluster by using the tracking algorithm based on the current status of each of the at least one cluster.

15. The field of view direction adjustment method according to claim 12 , wherein the calculation program comprises a probability calculation program and a tracking algorithm, the current status of each of the at least one cluster comprises a status component, the previous information of the previous frame comprises at least one probability distribution related to the status component of the current status and the identification mark of each of the at least one cluster, and the probability calculation program comprises calculating a probability, according to the at least one probability distribution and the status component of the current status of each of the at least one cluster, that the identification mark of each of the at least one cluster is a number; and step (a3) comprises: determining the identification mark of each of the at least one cluster based on the probability that the identification mark of each of the at least one cluster is the number; and predicting, by the processing unit, the next status of each of the at least one cluster by using the tracking algorithm based on the current status of each of the at least one cluster.

16. The field of view direction adjustment method according to claim 12 , wherein the calculation program comprises a probability calculation program and a tracking algorithm, the current status of each of the at least one cluster comprises a position and a physiological characteristic, the previous information of the previous frame comprises at least one first probability distribution related to the position of the current status and the identification mark of each of the at least one cluster and at least one second probability distribution related to the physiological characteristic of the current status and the identification mark of each of the at least one cluster, and the probability calculation program comprises calculating, according to the at least one first probability distribution and the position of the current status of each of the at least one cluster, a first probability that the identification mark of each of the at least one cluster is a number and calculating, according to the at least one second probability distribution and the physiological characteristic of the current status of each of the at least one cluster, a second probability that the identification mark of each of the at least one cluster is the number; and step (a3) comprises: determining the identification mark of each of the at least one cluster based on the first probability and the second probability that the identification mark of each of the at least one cluster is the number; and predicting, by the processing unit, the next status of each of the at least one cluster by using the tracking algorithm based on the current status of each of the at least one cluster.

17. The field of view direction adjustment method according to claim 12 , wherein the radio frequency signal is a frequency modulated continuous wave signal, and step (a1) comprises:

(a11) performing range processing and Doppler processing on a raw data cube formed by the digital feedback signal, to obtain a processed data cube;

(a12) performing moving target indication on the processed data cube to remove a static point in the processed data cube;

(a13) after step (a12), removing, by using a detection algorithm, a point in the processed data cube generated by a noise background; and

(a14) after step (a13), performing angle processing on the processed data cube to generate the point cloud image.

18. The field of view direction adjustment method according to claim 12 , wherein the clustering algorithm is selected from a group consisting of peak grouping, density-based spatial clustering of applications with noise, modified density-based spatial clustering of applications with noise, and hierarchical density-based spatial clustering of applications with noise; and wherein the processing unit determines a position of the current status of each of the at least one cluster based on a physical center of the cluster, wherein the physical center is selected from a group consisting of a centroid of a plurality of corresponding point clouds of the cluster and a central point of an outer frame of the cluster.

Assignments (1)

Priority Claims (1)

Continuity (1)

References Cited (14)