IP Library Patent Application 18473690
Patent Application
App. No. 18/473,690

DETECTING TARGET VEHICLES USING NON-STANDARD FEATURES

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Quick Facts
Patent No.
US None
App. No.
18/473,690
Abstract

Examples of the present disclosure relate to a system for detecting target vehicles. The system includes a sensor installed on a vehicle to sense light from outside the vehicle. The system includes a transceiver installed in the vehicle. The transceiver is to receive a detection request and transmit a detection output. The system includes a detection system installed in the vehicle. The detection system includes a processor to receive the detection request from the transceiver. The detection request includes non-standard features. The processor can also receive an image from a sensor. The processor can further execute a search on the image using the non-standard features in response to receiving the detection request. The processor can also send the detection output corresponding to a detected target vehicle to the transceiver.

Claims (36)

1 . A system in a vehicle for detecting target vehicles comprising:

a sensor installed on the vehicle to sense light from outside the vehicle;

a transceiver installed in the vehicle, the transceiver to receive a detection request and transmit a detection output; and

a detection system installed in the vehicle, the detection system comprising a processor to:

receive the detection request from the transceiver, wherein the detection request comprises non-standard features;

receive an image from a sensor;

execute a search on the image using the non-standard features in response to receiving the detection request; and

send the detection output corresponding to a detected target vehicle to the transceiver.

2 . The system of claim 1 , wherein the vehicle is to receive the detection request within a geographical area of interest associated with the detection request.

3 . The system of claim 1 , wherein the search comprises an imaging-based search, wherein the processor is to execute the imaging-based search in response to detecting an image in the detection request.

4 . The system of claim 1 , wherein the search comprises a description-based search, wherein the processor is to execute the description-based search in response to detecting a text description in the detection request.

5 . The system of claim 1 , wherein the detection system comprises a plurality of pre-trained machine learning models, wherein each of the machine learning models is trained for a particular input signal modality.

6 . The system of claim 1 , wherein the detection output further comprises support information.

7 . The system of claim 1 , wherein the detection system comprises a neural network trained to detect target vehicles based on non-standard features.

8 . The system of claim 1 , wherein the sensor comprises a camera.

9 . The system of claim 1 , comprising sensor comprises a radio detection and ranging (RADAR) sensor.

10 . The system of claim 1 , wherein the sensor comprises a light detection and ranging (LiDAR) sensor.

11 . A method for detecting target vehicles at a vehicle comprising:

receiving a detection request from a transceiver, wherein the detection request comprises non-standard features;

receiving an image from a sensor;

executing a search on the image using the non-standard features in response to receiving the detection request; and

transmitting a detection output corresponding to a detected target vehicle to the transceiver.

12 . The method of claim 11 , wherein the search is executed locally via a processor of the vehicle.

13 . The method of claim 11 , wherein the image is received at a cloud service and the search is executed via the cloud service.

14 . The method of claim 11 , comprising receiving the detection request within a geographical area of interest associated with the detection request.

15 . The method of claim 11 , comprising executing an imaging-based search via a machine learning model trained for image-based search in response to detecting an image in the detection request.

16 . The method of claim 11 , comprising executing a description-based search via a machine learning model trained for text-based search in response to detecting text in the detection request.

17 . A system for detecting target vehicles comprising:

a processor to:

receive a detection request from a transceiver, wherein the detection request comprises non-standard features;

receive an image from a sensor;

execute a search on the image using the non-standard features in response to receiving the detection request; and

transmit detection output corresponding to a detected target vehicle via the transceiver.

18 . The system of claim 17 , wherein the processor comprises a cloud computing processor.

19 . The system of claim 17 , wherein the processor comprises a processor in a vehicle.

20 . The system of claim 17 , wherein the sensor is installed in a vehicle within a geographical area of interest associated with the detection request.

Assignments (3)
CORRECTIVE ASSIGNMENT TO CORRECT THE SUPPORTIVE DOCUMENTS PREVIOUSLY RECORDED ON REEL 72222 FRAME 267. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Sep 23, 2025
From: PANASONIC CORPORATION OF NORTH AMERICA
To: PANASONIC AUTOMOTIVE SYSTEMS AMERICA, LLC.
Reel/Frame 072930/0871 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 31, 2025
From: PANASONIC CORPORATION OF NORTH AMERICA
To: PANASONIC AUTOMOTIVE SYSTEMS AMERICA, LLC
Reel/Frame 072222/0267 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 25, 2023
From: PATIL, NIKSHEP; SINGH, SATPREET
To: PANASONIC AUTOMOTIVE SYSTEMS COMPANY OF AMERICA, DIVISION OF PANASONIC CORPORATION OF NORTH AMERICA
Reel/Frame 065011/0063 →