IP Library Granted Patent US 12,589,751
Granted Patent B2
US 12,589,751 · App. 17/511,331 · Granted Mar 31, 2026

Systems and methods for vehicle control using terrain-based localization

Inventors: John Parker Eisenmann (Burlington, MA); Marco Giovanardi (Melrose, MA); Stefan Schulze (Brookline, MA); William Graves (Somerville, MA); Vijayaraghavan Sridhar (New York, NY); Marcus Joseph Proctor (Goffstown, NH); Jack A. Ekchian (Belmont, MA)
Assignee: ClearMotion, Inc.
B60W40/105B60W20/20H04W4/40B60W2510/081B60W2552/20B60W2552/53
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 12,589,751
App. No.
17/511,331
Granted
Mar 31, 2026
Kind
B2
Abstract

Systems and methods described herein include implementation of road surface-based localization techniques for advanced vehicle features and control methods including lane drift detection, passing guidance, bandwidth conservation and caching based on road data, vehicle speed correction, suspension and vehicle system performance tracking and control, road estimation calibration, and others.

Claims (42)

1 . A method of determining a location of a vehicle using terrain-based localization, during a trip to a destination, the method comprising:

selecting the destination of the trip;

with a navigation system, planning a route of travel to the destination;

after planning the route but prior to traveling along the planned route, downloading reference road profile information for one or more road segments in the planned route from a remote database;

prior to traveling along the planned route, storing the downloaded reference road profile information on a local information storage unit in the vehicle;

commencing travel along the planned route;

travelling along the one or more road segments;

while travelling along the one or more road segments, collecting road profile information with at least one sensor on-board the vehicle;

using terrain-based localization to determine the location of the vehicle, wherein the terrain-based localization includes a comparison of the reference road profile information, downloaded and stored prior to the commencement of the trip, and the road profile information collected while travelling along at least the one or more road segments.

2 . The method of claim 1 , further comprising using the road profile information to control an aspect of a system in the vehicle during the trip.

3 . The method of claim 1 , wherein the reference road profile information is downloaded and stored while the vehicle is parked.

4 . The method of claim 3 , wherein the reference road profile information is downloaded using a connection selected from the group consisting of WiFi, a hard wired connection, and an ethernet connection.

5 . The method of claim 4 , wherein the vehicle is selected from the group consisting of an electric vehicle and a plug-in hybrid-electric vehicle, and wherein the ethernet connection is integrated with a charging cable.

6 . The method of claim 3 , wherein the vehicle is parked in a garage associated with a home or a business.

7 . The method of claim 3 , wherein the travelling occurs during peak travel times and downloading of reference road profile information occurs during hours when demand for communication resources is lower than it is during peak travel times.

8 . The method of claim 3 , wherein the selecting of the destination is based at least partly on information received from a user interface.

9 . The method of claim 1 , further comprising, before starting the trip, confirming that the reference road profile information is up-to-date.

10 . The method of claim 1 , wherein selecting the route includes accessing data from a predesignated electronic calendar.

11 . The method of claim 10 , wherein the predesignated electronic calendar is accessed via a cell phone.

12 . The method of claim 1 , wherein the local information storage unit is in a cell phone.

13 . The method of claim 1 , wherein selecting the destination includes accessing data from a user interface in the vehicle.

14 . The method of claim 1 , wherein the one or more segments is an entirety of the planned route.

15 . The method of claim 1 , wherein the navigation system is located in a cell phone.

16 . A method of determining a location of a vehicle while the vehicle is traveling to a destination, the method comprising:

selecting the destination;

using a navigation system to select a route to the destination;

determining that reference road profile data for at least a portion of the selected route that is selected is available onboard the vehicle;

verifying that the available reference road profile data onboard the vehicle is up-to-date;

commencing travel along the selected route;

collecting road profile data with at least one sensor on-board the vehicle, while traveling along at least the portion of the selected route; and

performing terrain-based localization to determine the location of the vehicle, wherein the terrain-based localization includes comparing the reference road profile data, downloaded and stored prior to the commencement of the travel along the selected route, and the road profile data collected while travelling along at least the portion of the selected route.

17 . A method of providing road preview information to a vehicle using two separate cloud-based databases while maintaining the vehicle's anonymity, the method comprising:

receiving, from the vehicle at a first cloud-based database, data based on measurements made with at least one sensor on board the vehicle;

receiving, from the vehicle at the first cloud-based database, vehicle identifying data;

creating a data tag based on the received vehicle identifying data;

associating the data tag with the data based on measurements received from the vehicle;

providing information to a second cloud-based database that includes the data based on measurements received from the vehicle at the first cloud-based database, and the associated data tag, wherein the second cloud-based database is operated independently from the first cloud-based database;

receiving at the first cloud-based database, from the second cloud-based database, road preview information for the vehicle determined based at least partially on the information provided to the second cloud-based database by the first cloud-based database, wherein the road preview information includes data characterizing at least an aspect of a road ahead of the vehicle, and wherein road preview information is associated with the data tag;

at the first cloud-based database, based on the data tag, associating the road preview information with the vehicle; and

providing the road preview information to the vehicle.

18 . The method of claim 17 , wherein the at least one sensor is selected from the group consisting of an accelerometer mounted on an unsprung mass of the vehicle, an accelerometer mounted on a sprung mass of the vehicle, and an IMU.

19 . The method of claim 17 , wherein the information received from the vehicle at a first cloud-based database includes a road profile of a road surface of the road.

Assignments (7)
SECURITY INTEREST Recorded Sep 10, 2025
From: CLEARMOTION ACQUISITION I LLC; CLEARMOTION, INC.
To: ACADIA WOODS PARTNERS, LLC
Reel/Frame 072836/0921 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 7, 2023
From: EISENMANN, JOHN PARKER; GIOVANARDI, MARCO; SCHULZE, STEFAN; GRAVES, WILLIAM; SRIDHAR, VIJAYARAGHAVAN; PROCTOR, MARCUS JOSEPH; EKCHIAN, JACK A.
To: CLEARMOTION, INC.
Reel/Frame 062903/0759 →
TERMINATION OF AMENDED & RESTATED PATENT SECURITY AGREEMENT Recorded Feb 12, 2023
From: FRANKLIN STRATEGIC SERIES - FRANKLIN GROWTH OPPORTUNITIES FUND; FRANKLIN STRATEGIC SERIES - FRANKLIN SMALL CAP GROWTH FUND; FRANKLIN TEMPLETON INVESTMENT FUNDS - FRANKLIN U.S. OPPORTUNITIES FUND; NEWVIEW CAPITAL FUND I, LP; WIL FUND I, L.P.; BRIDGESTONE AMERICAS, INC.; MICROSOFT GLOBAL FINANCE; FHW LIMITED PARTNERSHIP; TEW LIMITED PARTNERSHIP; THE PRIVATE SHARES FUND; BRILLIANCE JOURNEY LIMITED
To: CLEARMOTION, INC.; CLEARMOTION ACQUISITION I LLC
Reel/Frame 062705/0684 →
TERMINATION OF AMENDED & RESTATED PATENT SECURITY AGREEMENT Recorded Feb 8, 2023
From: ACADIA WOODS PARTNERS, LLC
To: CLEARMOTION, INC.; CLEARMOTION ACQUISITION I LLC
Reel/Frame 062687/0713 →
CORRECTIVE ASSIGNMENT TO CORRECT THE ADDING ASSIGNEE PREVIOUSLY RECORDED AT REEL: 059361 FRAME: 0433. ASSIGNOR(S) HEREBY CONFIRMS THE SECURITY AGREEMENT. Recorded Apr 6, 2022
From: CLEARMOTION, INC.; CLEARMOTION ACQUISITION I LLC
To: ACADIA WOODS PARTNERS, LLC; FRANKLIN STRATEGIC SERIES - FRANKLIN GROWTH OPPORTUNITIES FUND; FRANKLIN TEMPLETON INVESTMENT FUNDS - FRANKLIN U.S. OPPORTUNITIES FUND; FRANKLIN STRATEGIC SERIES - FRANKLIN SMALL CAP GROWTH FUND; NEWVIEW CAPITAL FUND I, LP; WIL FUND I, L.P.; BRIDGESTONE AMERICAS, INC.; MICROSOFT GLOBAL FINANCE; FHW LIMITED PARTNERSHIP; TEW LIMITED PARTNERSHIP; THE PRIVATE SHARES FUND; BRILLIANCE JOURNEY LIMITED
Reel/Frame 060130/0001 →
AMENDED & RESTATED PATENT SECURITY AGREEMENT Recorded Mar 11, 2022
From: CLEARMOTION, INC.; CLEARMOTION ACQUISITION I LLC
To: ACADIA WOODS PARTNERS, LLC
Reel/Frame 059361/0433 →
PATENT SECURITY AGREEMENT Recorded Jan 4, 2022
From: CLEARMOTION, INC.
To: NEWVIEW CAPITAL FUND I, L.P.; ACADIA WOODS PARTNERS, LLC; WIL FUND I, L.P.; FRANKLIN STRATEGIC SERIES - FRANKLIN GROWTH OPPORTUNITIES FUND; FRANKLIN TEMPLETON INVESTMENT FUNDS - FRANKLIN U.S. OPPORTUNITIES FUND; FRANKLIN STRATEGIC SERIES - FRANKLIN SMALL CAP GROWTH FUND
Reel/Frame 058644/0007 →
Continuity (3)
Provisional Application 63132184 · Dec 30, 2020
Provisional Application 63106341 · Oct 27, 2020
Related Publication 20220212678A1 · Jul 7, 2022
References Cited (30)
US 8589063B2 · Trum · 2013 [cited by applicant]
US 10486485B1 · Levinson et al. · 2019 [cited by applicant]
US 10901432B2 · Sridhar et al. · 2021 [cited by applicant]
US 10953887B2 · Magnusson et al. · 2021 [cited by applicant]
US 20130238192A1 · Breu · 2013 [cited by applicant]
US 20140195112A1 · Lu et al. · 2014 [cited by applicant]
US 20140249711A1 · Hanson et al. · 2014 [cited by applicant]
US 20150094948A1 · Lu et al. · 2015 [cited by applicant]
US 20160325753A1 · Stein et al. · 2016 [cited by applicant]
US 20180015801A1 · Mohamed et al. · 2018 [cited by applicant]
US 20180079272A1 · Aikin · 2018 [cited by applicant]
US 20180154723A1 · Anderson · 2018 [cited by examiner]
US 20190079539A1 · Sridhar et al. · 2019 [cited by applicant]
US 20190137275A1 · Choudhury et al. · 2019 [cited by applicant]
US 20190304159A1 · Dai et al. · 2019 [cited by applicant]
US 20200117199A1 · Akella et al. · 2020 [cited by applicant]
US 20200139784A1 · Sridhar et al. · 2020 [cited by applicant]
US 20200139967A1 · Beller et al. · 2020 [cited by applicant]
US 20200211394A1 · King et al. · 2020 [cited by applicant]
US 20210055740A1 · Sridhar et al. · 2021 [cited by applicant]
US 20210394573A1 · Vente et al. · 2021 [cited by applicant]
US 20220082705A1 · Graves et al. · 2022 [cited by applicant]
US 20220189302A1 · Jiang et al. · 2022 [cited by applicant]
US 20220196849A1 · Chen et al. · 2022 [cited by applicant]
DE 102008032545A1 · 2010 [cited by applicant]
DE 102014223475A1 · 2016 [cited by applicant]
WO WO2012019691A1 · 2012 [cited by applicant]
WO WO2019049080A2 · 2019 [cited by applicant]
International Search Report and Written Opinion for International Application No. PCT/US2021/056690 mailed Mar. 7, 2022. [cited by applicant]
Laftchiev et al., Terrain-based vehicle localization from real-time data using dynamical models. 51 [cited by applicant]