IP Library Granted Patent US 12,258,014
Granted Patent B2
US 12,258,014 · App. 18/050,131 · Granted Mar 25, 2025

Vehicular control system with enhanced lane centering

Inventors: Tejas Murlidhar Varunjikar (Troy, MI); Arpit Awathe (Auburn Hills, MI); Subhabrata Ganguli (Northville, MI)
Assignee: Magna Electronics Inc.
B60W30/12B60W50/06G06F30/20B60W2520/00
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 12,258,014
App. No.
18/050,131
Granted
Mar 25, 2025
Kind
B2
Abstract

A method for enhancing a vehicular driving assistance system includes obtaining in-vehicle test data representative of performance of the vehicular driving assistance system of a vehicle during operation of the vehicular driving assistance system and determining, using the in-vehicle test data, a second order transfer function that models operation of the vehicular driving assistance system. The second order transfer function matches a magnitude response of the in-vehicle test data. The method includes providing a simulation environment. The simulation environment simulates the vehicular driving assistance system using the second order transfer function. The method includes determining, using the simulation environment, a feedforward contribution and a feedback contribution of the vehicular driving assistance system, and enhancing the vehicular driving assistance system based on adjustment of the feedforward contribution and the feedback contribution of the vehicular driving assistance system.

Claims (33)

1. A method for enhancing a vehicular driving assistance system, the method comprising:

obtaining in-vehicle test data representative of performance of the vehicular driving assistance system of a vehicle during operation of the vehicular driving assistance system;

determining, using the in-vehicle test data, a second order transfer function that models operation of the vehicular driving assistance system, wherein the second order transfer function matches a magnitude response of the in-vehicle test data;

providing a simulation environment, wherein the simulation environment simulates the vehicular driving assistance system using the second order transfer function;

determining, using the simulation environment, a feedforward contribution of the vehicular driving assistance system and a feedback contribution of the vehicular driving assistance system; and

responsive to the feedback contribution being greater than the feedforward contribution, enhancing the vehicular driving assistance system at least in part via increasing the feedforward contribution such that the feedforward contribution is greater than the feedback contribution of the vehicular driving assistance system.

2. The method of claim 1 , wherein the vehicular driving assistance system is a lane centering system.

3. The method of claim 1 , wherein the in-vehicle test data comprises collected electric power steering test data, and wherein the electric power steering test data comprises (i) commanded steering angles and (ii) actual steering angles corresponding to the commanded steering angles.

4. The method of claim 1 , wherein determining the second order transfer function comprises determining a plurality of control parameters and simulating the second order transfer function using the plurality of control parameters.

5. The method of claim 4 , wherein simulating the second order transfer function comprises optimizing the second order transfer function.

6. The method of claim 5 , wherein optimizing the second order transfer function comprises minimizing an objective function.

7. The method of claim 6 , wherein the objective function comprises a magnitude error weight and a phase error weight, and wherein the magnitude error weight is greater than the phase error weight.

8. The method of claim 1 , wherein the vehicular driving assistance system is a lane centering system, and wherein tuning the vehicular driving assistance system comprises reducing a phase lag between a commanded steering angle and an actual angle.

9. The method of claim 1 , wherein tuning the vehicular driving assistance system comprises decreasing low frequency oscillations.

10. A method for enhancing a vehicular driving assistance system, the method comprising:

obtaining in-vehicle test data representative of performance of the vehicular driving assistance system of a vehicle during operation of the vehicular driving assistance system, wherein the vehicular driving assistance system comprises a lane centering system, and wherein the in-vehicle test data comprises collected electric power steering test data, and wherein the electric power steering test data comprises (i) commanded steering angles and (ii) actual steering angles corresponding to the commanded steering angles;

determining, using the in-vehicle test data, a second order transfer function that models operation of the vehicular driving assistance system, wherein the second order transfer function matches a magnitude response of the in-vehicle test data;

providing a simulation environment, wherein the simulation environment simulates the vehicular driving assistance system using the second order transfer function;

determining, using the simulation environment, a feedforward contribution of the vehicular driving assistance system and a feedback contribution of the vehicular driving assistance system; and

responsive to the feedback contribution being greater than the feedforward contribution, enhancing the vehicular driving assistance system at least in part via increasing the feedforward contribution such that the feedforward contribution is greater than the feedback contribution of the vehicular driving assistance system.

11. The method of claim 10 , wherein determining the second order transfer function comprises determining a plurality of control parameters and simulating the second order transfer function using the plurality of control parameters.

12. The method of claim 11 , wherein simulating the second order transfer function comprises optimizing the second order transfer function.

13. The method of claim 12 , wherein optimizing the second order transfer function comprises minimizing an objective function.

14. The method of claim 13 , wherein the objective function comprises a magnitude error weight and a phase error weight, and wherein the magnitude error weight is greater than the phase error weight.

15. A method for enhancing a vehicular driving assistance system, the method comprising:

obtaining in-vehicle test data representative of performance of the vehicular driving assistance system of a vehicle during operation of the vehicular driving assistance system;

determining, using the in-vehicle test data, a second order transfer function that models operation of the vehicular driving assistance system, wherein the second order transfer function matches a magnitude response of the in-vehicle test data, and wherein determining the second order transfer function comprises determining a plurality of control parameters and simulating the second order transfer function using the plurality of control parameters;

providing a simulation environment, wherein the simulation environment simulates the vehicular driving assistance system using the second order transfer function;

determining, using the simulation environment, a feedforward contribution of the vehicular driving assistance system and a feedback contribution of the vehicular driving assistance system; and

responsive to the feedback contribution being greater than the feedforward contribution, enhancing the vehicular driving assistance system at least in part via maximizing the feedforward contribution such that the feedforward contribution is greater than the feedback contribution of the vehicular driving assistance system.

16. The method of claim 15 , wherein the vehicular driving assistance system is a lane centering system.

17. The method of claim 15 , wherein the in-vehicle test data comprises collected electric power steering test data, and wherein the electric power steering test data comprises (i) commanded steering angles and (ii) actual steering angles corresponding to the commanded steering angles.

18. The method of claim 15 , wherein simulating the second order transfer function comprises optimizing the second order transfer function.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 14, 2023
From: VARUNJIKAR, TEJAS M.; AWATHE, ARPIT; GANGULI, SUBHABRATA
To: MAGNA ELECTRONICS INC.
Reel/Frame 062686/0659 →
Continuity (2)
Provisional Application 63263177 · Oct 28, 2021
Related Publication 20230134480A1 · May 4, 2023
References Cited (45)
US 4633423A · Bailey · 1986 [cited by examiner]
US 5189621A · Onari · 1993 [cited by examiner]
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 6401016B1 · Yoshino · 2002 [cited by examiner]
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 8155839B2 · Nakano · 2012 [cited by examiner]
US 8868221B1 · Mealy · 2014 [cited by examiner]
US 9873450B2 · Pramod · 2018 [cited by examiner]
US 10071687B2 · Ihlenburg et al. · 2018 [cited by applicant]
US 10099614B2 · Diessner · 2018 [cited by applicant]
US 10424136B2 · Oh · 2019 [cited by examiner]
US 10841571B2 · Sigle · 2020 [cited by applicant]
US 10870400B2 · Thomas et al. · 2020 [cited by applicant]
US 11110794B2 · Yokota · 2021 [cited by examiner]
US 11403857B2 · Sathyanarayana et al. · 2022 [cited by applicant]
US 11609304B2 · Kunkel · 2023 [cited by applicant]
US 11620522B2 · Potnis · 2023 [cited by applicant]
US 11643104B2 · Ustunel · 2023 [cited by applicant]
US 11745749B2 · Potnis · 2023 [cited by applicant]
US 20090012669A1 · Takenaka · 2009 [cited by examiner]
US 20100152952A1 · Lee · 2010 [cited by examiner]
US 20130261897A1 · Potter · 2013 [cited by examiner]
US 20160210775A1 · Alaniz et al. · 2016 [cited by applicant]
US 20170306874A1 · Wu · 2017 [cited by examiner]
US 20190138432A1 · Nagaraj et al. · 2019 [cited by applicant]
US 20190146492A1 · Phillips et al. · 2019 [cited by applicant]
US 20190276043A1 · Uchida · 2019 [cited by examiner]
US 20200062259A1 · Huh · 2020 [cited by examiner]
US 20200249684A1 · Onofrio et al. · 2020 [cited by applicant]
US 20200339109A1 · Hong et al. · 2020 [cited by applicant]
US 20210255984A1 · Khatri · 2021 [cited by applicant]
US 20220009522A1 · Zhang et al. · 2022 [cited by applicant]
US 20220048566A1 · Prasad Challa et al. · 2022 [cited by applicant]
US 20220135030A1 · Varunjikar · 2022 [cited by examiner]
US 20220176960A1 · Awathe et al. · 2022 [cited by applicant]
US 20220363250A1 · Varunjikar et al. · 2022 [cited by applicant]
US 20230008230A1 · Cordeiro et al. · 2023 [cited by applicant]
US 20230270515A1 · Tanabe · 2023 [cited by examiner]
US 20230415734A1 · Zhu · 2023 [cited by examiner]
US 20240253622A1 · Awathe · 2024 [cited by examiner]
KR 20150057537 · 2015 [cited by applicant]
Cited By (2)
US 12,515,656 US 12,709,275