IP Library Granted Patent US 12,480,771
Granted Patent B2
US 12,480,771 · App. 18/503,213 · Granted Nov 25, 2025

Vehicular training system for driving assistance system

Inventor: Özgür Nurettin Püskül (Ellerbek, DE)
Assignee: Magna Electronics Inc.
G01C21/3453G01C21/3602G06V10/75G06V20/582G06V20/588
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Quick Facts
Patent No.
US 12,480,771
App. No.
18/503,213
Granted
Nov 25, 2025
Kind
B2
Abstract

A vehicular training system includes a sensor disposed at a vehicle and sensing exterior of the vehicle. The sensor is operable to capture sensor data. An electronic control unit (ECU) includes electronic circuitry and associated software, with the electronic circuitry of the ECU including a data processor for processing sensor data captured by the sensor. The vehicular training system, while the vehicle travels along the route for the data collection drive and while the sensor captures sensor data, compares a quantity of sensor data that is captured to a target quantity of sensor data to be captured by the vehicular training system for training an advanced driving assistance system. The vehicular training system adjusts the route of the vehicle based at least in part on comparison of the quantity of sensor data that is captured and the target quantity of sensor data.

Claims (30)

1 . A vehicular training system, the vehicular training system comprising:

a sensor disposed at a vehicle equipped with the vehicular training system and sensing exterior of the vehicle, wherein the sensor is operable to capture sensor data;

an electronic control unit (ECU) comprising electronic circuitry and associated software;

wherein the electronic circuitry of the ECU comprises a data processor for processing sensor data captured by the sensor;

wherein sensor data captured by the sensor is transferred to and is processed at the ECU;

wherein the vehicular training system, while the vehicle travels along a route for a data collection drive and while the sensor captures sensor data, determines, via processing at the ECU of sensor data captured by the sensor and transferred to the ECU, a quantity of sensor data that has been captured for training an advanced driving assistance system;

wherein the vehicular training system, while the vehicle travels along the route for the data collection drive and while the sensor captures sensor data, compares the quantity of sensor data that is captured to a target quantity of sensor data to be captured by the vehicular training system for training the advanced driving assistance system;

wherein the target quantity of sensor data is derived from a key performance indicator (KPI) associated with the data collection drive; and

wherein the vehicular training system adjusts the route of the vehicle based at least in part on comparison of the quantity of sensor data that is captured and the target quantity of sensor data.

2 . The vehicular training system of claim 1 , wherein the sensor comprises one or more cameras.

3 . The vehicular training system of claim 2 , wherein the one or more cameras comprises a forward-viewing camera disposed at an in-cabin side of a windshield of the vehicle and viewing forward of the vehicle through the windshield of the vehicle.

4 . The vehicular training system of claim 1 , wherein the sensor comprises one or more radar sensors.

5 . The vehicular training system of claim 1 , wherein the sensor comprises one or more lidar sensors.

6 . The vehicular training system of claim 1 , wherein the adjusted route of the vehicle increases a probability of collecting sensor data to satisfy the target quantity of sensor data.

7 . The vehicular training system of claim 1 , wherein adjusting the route of the vehicle comprises determining, using a map database, a geographic location for capturing sensor data that satisfies the target quantity of sensor data.

8 . The vehicular training system of claim 1 , wherein the target quantity of sensor data is associated with at least one from the group consisting of (i) traffic signs, (ii) road types, and (iii) traffic scenarios.

9 . The vehicular training system of claim 1 , wherein comparing the quantity of sensor data that is captured to the target quantity of sensor data to be captured comprises determining a quantity of events of interest detected in the sensor data and comparing the determined quantity to the target quantity of sensor data.

10 . The vehicular training system of claim 1 , wherein the vehicular training system adjusts the route of the vehicle based on determining the target quantity of sensor data is not satisfied.

11 . The vehicular training system of claim 1 , wherein the vehicular training system provides a notification to an occupant of the vehicle, and wherein the notification comprises the comparison of the quantity of sensor data that is captured and the target quantity of sensor data.

12 . A vehicular training system, the vehicular training system comprising:

a camera disposed at an in-cabin side of a windshield of a vehicle equipped with the vehicular training system and viewing forward of the vehicle through the windshield of the vehicle, wherein the camera is operable to capture image data;

an electronic control unit (ECU) comprising electronic circuitry and associated software;

wherein the electronic circuitry of the ECU comprises an image processor for processing image data captured by the camera;

wherein image data captured by the camera is transferred to and is processed at the ECU;

wherein the vehicular training system, while the vehicle travels along a route for a data collection drive and while the camera captures image data, determines, via processing at the ECU of image data captured by the camera and transferred to the ECU, a quantity of image data that has been captured for training an advanced driving assistance system;

wherein the vehicular training system, while the vehicle travels along the route for the data collection drive and while the camera captures image data, compares the quantity of image data that is captured to a target quantity of image data to be captured by the vehicular training system for training the advanced driving assistance system;

wherein the target quantity of sensor data is associated with at least one from the group consisting of (i) traffic signs, (ii) road types, and (iii) traffic scenarios; and

wherein the vehicular training system adjusts the route of the vehicle based at least in part on comparison of the quantity of image data that is captured and the target quantity of image data, and wherein the adjusted route of the vehicle increases a probability of collecting sensor data to satisfy the target quantity of sensor data.

13 . The vehicular training system of claim 12 , wherein adjusting the route of the vehicle comprises determining, using a map database, a geographic location for capturing sensor data that satisfies the target quantity of sensor data.

14 . The vehicular training system of claim 12 , wherein comparing the quantity of sensor data that is captured to the target quantity of sensor data to be captured comprises determining a quantity of events of interest detected in the sensor data and comparing the determined quantity to the target quantity of sensor data.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 7, 2023
From: PÜSKÜL, ÖZGÜR NURETTIN
To: MAGNA ELECTRONICS INC.
Reel/Frame 065476/0892 →
Continuity (2)
Provisional Application 63382762 · Nov 8, 2022
Related Publication 20240151540A1 · May 9, 2024
References Cited (22)
US 5550677A · Schofield et al. · 1996 [cited by applicant]
US 5670935A · Schofield et al. · 1997 [cited by applicant]
US 5949331A · Schofield et al. · 1999 [cited by applicant]
US 7038577B2 · Pawlicki et al. · 2006 [cited by applicant]
US 7720580B2 · Higgins-Luthman · 2010 [cited by applicant]
US 7855755B2 · Weller et al. · 2010 [cited by applicant]
US 10071687B2 · Ihlenburg et al. · 2018 [cited by applicant]
US 10099614B2 · Diessner · 2018 [cited by applicant]
US 10406980B2 · Schofield · 2019 [cited by examiner]
US 11586204B2 · Potnis · 2023 [cited by examiner]
US 12106583B2 · Potnis · 2024 [cited by examiner]
US 12233917B2 · Barragan et al. · 2025 [cited by applicant]
US 20190073541A1 · Koravadi · 2019 [cited by examiner]
US 20200001856A1 · Johnson · 2020 [cited by examiner]
US 20220048566A1 · Prasad Challa · 2022 [cited by examiner]
US 20220114374A1 · Khatri · 2022 [cited by examiner]
US 20220176960A1 · Awathe · 2022 [cited by examiner]
US 20230008230A1 · Cordeiro · 2023 [cited by examiner]
US 20240119873A1 · Püskül · 2024 [cited by applicant]
US 20240142267A1 · Potnis et al. · 2024 [cited by applicant]
US 20240144658A1 · Potnis · 2024 [cited by applicant]
US 20250061734A1 · Potnis et al. · 2025 [cited by applicant]