IP Library Granted Patent US 12,693,376
Granted Patent B2
US 12,693,376 · App. 18/469,486 · Granted Jul 28, 2026

Radar detector with tracking feedback

Inventors: Jessica Bartholdy Sanson (Munich, DE); Jorge Julio Jácome Muñoz (Munich, DE); Kalin Hristov Kabakchiev (Munich, DE); Andre Giere (Oberpframmern, DE)
Assignee: GM CRUISE HOLDINGS LLC
G01S7/292G01S7/415G01S13/42G01S13/931
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,693,376
App. No.
18/469,486
Filed
Sep 18, 2023
Granted
Jul 28, 2026
Kind
B2
Art Unit
3648
USPC
342/91
Abstract

A radar system comprises a transmit antenna that transmits a radar signal and a receive antenna that receives a radar return. The system further comprises one or more processors configured to perform acts comprising: detecting object based on information in the radar return. The acts further comprise generating and providing to a tracking system a point cloud comprising information related to the detected object. Additionally, the acts comprise receiving from the tracking system an indication of a predicted cell in which the detected object is predicted to be located in a subsequent radar frame, wherein the predicted cell is associated with a confidence value. The acts further comprise reducing, for the subsequent radar frame, a detection threshold value for the predicted cell.

Claims (51)

1 . A method performed by a radar system, the method comprising:

receiving at a receive antenna a radar return;

detecting an object based on information in the radar return;

generating and providing to a tracking system a point cloud comprising information related to the detected object;

receiving from the tracking system an indication of a predicted cell in which the detected object is predicted to be located in a subsequent radar frame, wherein the predicted cell is associated with a confidence value which represents a likelihood that the detected object will be in the predicted cell in the subsequent radar frame; and

modifying, for the subsequent radar frame and based on the confidence value, a detection threshold value for detecting the detected object with respect to the predicted cell, wherein modifying the detection threshold value comprises:

reducing the detection threshold value toward a minimum power threshold for detecting the detected object as the confidence value approaches 1; and

adjusting the detection threshold value toward an originally assigned power threshold for detecting the detected object as the confidence value approaches 0.

2 . The method of claim 1 , wherein reducing the detection threshold value comprises calculating a reduced detection threshold value based on the confidence value.

3 . The method of claim 1 , wherein:

the confidence value ranges from 0 to 1, and wherein

the detection threshold value equals the minimum power threshold for detecting the detected object when the confidence value equals 1; and

the detection threshold value equals the originally assigned power threshold for detecting the detected object when the confidence value equals 0.

4 . The method of claim 1 , further comprising identifying one or more neighboring cells near the predicted cell, and reducing a detection threshold value for detecting the detected object for a given neighboring cell based on a confidence value associated with the given neighboring cell, wherein the confidence value which represents a likelihood that the detected object will be in the given neighboring cell in the subsequent radar frame.

5 . The method of claim 1 , wherein the confidence value is based on object information from one or more of a radar system, a lidar system, and a camera system.

6 . The method of claim 1 , performed on a frame-by-frame basis.

7 . A radar system comprising:

a transmit antenna that transmits a radar signal;

a receive antenna that receives a radar return; and

circuitry configured to perform acts comprising:

detecting an object based on information in the radar return;

generating and providing to a tracking system a point cloud comprising information related to the detected object;

receiving from the tracking system an indication of a predicted cell in which the detected object is predicted to be located in a subsequent radar frame, wherein the predicted cell is associated with a confidence value which represents a likelihood that the detected object will be in the predicted cell in the subsequent radar frame; and

modifying, for the subsequent radar frame and based on the confidence value, a detection threshold value for detecting the detected object with respect to the predicted cell, wherein modifying the detection threshold value comprises:

reducing the detection threshold value toward a minimum power threshold for detecting the detected object as the confidence value approaches 1; and

adjusting the detection threshold value toward an originally assigned power threshold for detecting the detected object as the confidence value approaches 0.

8 . The radar system of claim 7 , wherein reducing the detection threshold value comprises calculating a reduced detection threshold value based on the confidence value.

9 . The radar system of claim 7 , wherein:

the confidence value ranges from 0 to 1, and wherein

the detection threshold value equals the minimum power threshold for detecting the detected object when the confidence value equals 1; and

the detection threshold value equals the originally assigned power threshold for detecting the detected object when the confidence value equals 0 .

10 . The radar system of claim 7 , further comprising identifying one or more neighboring cells near the predicted cell, and reducing a detection threshold value for detecting the detected object for a given neighboring cell based on a confidence value associated with the given neighboring cell, wherein the confidence value which represents a likelihood that the detected object will be in the given neighboring cell in the subsequent radar frame.

11 . The radar system of claim 7 , wherein the confidence value is based on object information from one or more of a radar system, a lidar system, and a camera system.

12 . The radar system of claim 7 , wherein the acts are performed on a frame-by-frame basis.

13 . A radar system comprising:

a transmit antenna that transmits a radar signal;

a receive antenna that receives a radar return; and

a hardware logic component that is configured to perform acts comprising:

receiving from the receive antenna a radar signal received by the receive antenna in the radar return;

detecting an object based on information in the radar signal;

generating and providing to a tracking system a point cloud comprising information related to the detected object;

receiving from the tracking system an indication of a predicted cell in which the detected object is predicted to be located in a subsequent radar frame, wherein the predicted cell is associated with a confidence value which represents a likelihood that the detected object will be in the predicted cell in the subsequent radar frame; and

modifying, for the subsequent radar frame and based on the confidence value, a detection threshold value for detecting the detected object with respect to the predicted cell, wherein modifying the detection threshold value comprises:

reducing the detection threshold value toward a minimum power threshold for detecting the detected object as the confidence value approaches 1; and

adjusting the detection threshold value toward an originally assigned power threshold for detecting the detected object as the confidence value approaches 0.

14 . The radar system of claim 13 , wherein reducing the detection threshold value comprises calculating a reduced detection threshold value based on the confidence value.

15 . The radar system of claim 13 , wherein the confidence value ranges from 0 to 1,

the detection threshold value equals the minimum power threshold for detecting the detected object when the confidence value equals 1; and

the detection threshold value equals the originally assigned power threshold for detecting the detected object when the confidence value equals 0 .

16 . The radar system of claim 13 , further comprising identifying one or more neighboring cells near the predicted cell, and reducing a detection threshold value for detecting the detected object for a given neighboring cell based on a confidence value associated with the given neighboring cell, wherein the confidence value which represents a likelihood that the detected object will be in the given neighboring cell in the subsequent radar frame.

17 . The radar system of claim 13 , wherein the confidence value is based on object information from one or more of a radar system, a lidar system, and a camera system.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 19, 2023
From: SANSON, JESSICA BARTHOLDY; JÁCOME MUÑOZ, JORGE JULIO; KABAKCHIEV, KALIN HRISTOV; GIERE, ANDRE
To: GM CRUISE HOLDINGS LLC
Reel/Frame 064954/0319 →
Priority Claims (1)
EP 23197037 · Sep 13, 2023 · regional
Continuity (1)
Related Publication 20250085386A1 · Mar 13, 2025
References Cited (82)
US 1143544A · Karcher · 1915 [cited by examiner]
US 4649390A · Andrews · 1987 [cited by examiner]
US 5311183A · Mathews · 1994 [cited by examiner]
US 5465095A · Bryant · 1995 [cited by examiner]
US 9612328B1 · Breiholz · 2017 [cited by examiner]
US 10222463B2 · Hong · 2019 [cited by examiner]
US 10365363B2 · Rohr · 2019 [cited by examiner]
US 10539669B2 · Ikram · 2020 [cited by examiner]
US 10788570B2 · Wilson · 2020 [cited by examiner]
US 10830869B2 · Raphaeli · 2020 [cited by examiner]
US 10935650B2 · Campbell · 2021 [cited by examiner]
US 11531088B2 · Popov · 2022 [cited by examiner]
US 11536850B2 · Sharma · 2022 [cited by examiner]
US 11592523B2 · Schubert · 2023 [cited by examiner]
US 11614535B2 · Jo · 2023 [cited by examiner]
US 11644560B2 · Livshitz · 2023 [cited by examiner]
US 11719805B2 · Santra · 2023 [cited by examiner]
US 11885907B2 · Popov · 2024 [cited by examiner]
US 11927668B2 · Fontijne · 2024 [cited by examiner]
US 12164058B2 · Chebiyyam · 2024 [cited by examiner]
US 12174641B2 · Moawad · 2024 [cited by examiner]
US 12204010B2 · Saitto · 2025 [cited by examiner]
US 12253591B2 · Hong · 2025 [cited by examiner]
US 12320887B2 · Arbabian · 2025 [cited by examiner]
US 12344270B2 · Oh · 2025 [cited by examiner]
US 12436261B1 · Srivastav · 2025 [cited by examiner]
US 20080111731A1 · Hubbard · 2008 [cited by examiner]
US 20100097182A1 · Niktash · 2010 [cited by examiner]
US 20150168539A1 · Himmelstoss · 2015 [cited by examiner]
US 20150331098A1 · Luebbert · 2015 [cited by examiner]
US 20160018511A1 · Nayyar · 2016 [cited by examiner]
US 20160097839A1 · Fox · 2016 [cited by examiner]
US 20160103213A1 · Ikram · 2016 [cited by examiner]
US 20170090013A1 · Paradie · 2017 [cited by examiner]
US 20170261602A1 · Olshansky · 2017 [cited by examiner]
US 20180348343A1 · Achour · 2018 [cited by examiner]
US 20190041494A1 · Roger · 2019 [cited by examiner]
US 20190146081A1 · Bilik · 2019 [cited by examiner]
US 20190383901A1 · Elad · 2019 [cited by examiner]
US 20200041637A1 · Koch · 2020 [cited by examiner]
US 20200132826A1 · Achour · 2020 [cited by examiner]
US 20200174096A1 · Cho · 2020 [cited by examiner]
US 20200326411A1 · Zhou · 2020 [cited by examiner]
US 20210156960A1 · Popov · 2021 [cited by examiner]
US 20210156963A1 · Popov · 2021 [cited by examiner]
US 20210208242A1 · Sudarsan · 2021 [cited by examiner]
US 20210382165A1 · Choi · 2021 [cited by examiner]
US 20210389452A1 · Lau · 2021 [cited by examiner]
US 20210405178A1 · Livshitz · 2021 [cited by examiner]
US 20220196829A1 · Chen · 2022 [cited by examiner]
US 20220308205A1 · Roesler · 2022 [cited by examiner]
US 20220319188A1 · Kogut · 2022 [cited by examiner]
US 20220335279A1 · Tyagi · 2022 [cited by examiner]
US 20220349995A1 · Breddermann · 2022 [cited by examiner]
US 20220373669A1 · Mannesson · 2022 [cited by examiner]
US 20230003872A1 · Qian · 2023 [cited by examiner]
US 20230131721A1 · Chebiyyam · 2023 [cited by examiner]
US 20230145218A1 · Murray · 2023 [cited by examiner]
US 20240004031A1 · Bansal · 2024 [cited by examiner]
US 20240045052A1 · Traa · 2024 [cited by examiner]
US 20240053464A1 · Dahnoun · 2024 [cited by examiner]
US 20240061075A1 · Popov · 2024 [cited by examiner]
US 20240077582A1 · Cerqueira Pinto · 2024 [cited by examiner]
US 20240142614A1 · Cao · 2024 [cited by examiner]
US 20240192355A1 · Zhang · 2024 [cited by examiner]
US 20240193788A1 · Tang · 2024 [cited by examiner]
US 20240337741A1 · Klotzbuecher · 2024 [cited by examiner]
US 20240345216A1 · Tzagkas · 2024 [cited by examiner]
US 20240355215A1 · Robertson · 2024 [cited by examiner]
US 20240361445A1 · Paker · 2024 [cited by examiner]
US 20240393459A1 · Roesler · 2024 [cited by examiner]
US 20250110213A1 · Gebhardt · 2025 [cited by examiner]
US 20250180699A1 · Fan · 2025 [cited by examiner]
EP 3239737A1 · 2017 [cited by examiner]
EP 3239737B1 · 2018 [cited by examiner]
EP 3805794A1 · 2021 [cited by examiner]
FR 3041438A1 · 2017 [cited by applicant]
WO WO2021177956A1 · 2021 [cited by examiner]
WO WO2022049241A1 · 2022 [cited by examiner]
A Kalman Filter Tracker Based Bayesian Detector for Radar Interference in Radar Astronomy (IEEE International conference of Acoustics, Speech and Signal Processing, 2005, Proceedings. Mar. 18-23, 2005, vol. 4: iv/657-iv… [cited by examiner]
European Search Report for European Applicaton No. 23197037; dated Jan. 30, 2024; 2 pages. [cited by applicant]
Weizhen Dong et al: “A Kalman-Tracker-Based Bayesian Detector for Radar Interference in Radio Astronomy”, 2005 IEEE International Conference On Acoustics, Speech, and Signal Processing—Mar. 18-23, 2005—Philadelphia, PA,… [cited by applicant]