IP Library › Granted Patent US 12,403,950
Granted Patent B2
US 12,403,950 · App. 17/724,120 · Granted Sep 2, 2025

Automatic steering systems and methods

Inventor: Josue Calderon (Ames, IA)
Assignee: Ag Leader Technology
B62D6/00B62D5/046
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Quick Facts
Patent No.
US 12,403,950
App. No.
17/724,120
Filed
Apr 19, 2022
Granted
Sep 2, 2025
Kind
B2
Art Unit
3747
USPC
701/41
Abstract

An automatic steering system for an agricultural vehicle includes a controller operably coupled to a steering sensor configured to provide a feedback signal that includes vehicle steering information for automatically controlling the steering device. The controller is configured to receive the feedback signal and current steering information from the steering sensor and determine desired steering rate information based on the current steering information and a desired steering position. The controller is also configured to compare a current steering rate to the desired steering rate information and disengage automatic steering control based on comparing the current steering rate to the desired steering rate information. Automatic steering systems including assisted steering devices and methods for steering an agricultural vehicle are also provided.

Claims (46)

1. An automatic steering system for a vehicle, comprising:

an assisted steering device configured to mount to a steering wheel of a vehicle, the assisted steering device comprising a motor and an encoder, wherein the motor is offset from a steering axis of the vehicle's steering wheel when mounted, the assisted steering device further configured to determine current encoder information; and

a controller configured to operate the assisted steering device, the operation comprising:

receiving the current encoder information from the assisted steering device;

determining a desired encoder rate based on the current encoder information and a desired encoder position;

operating the motor using the desired encoder rate;

comparing a current encoder rate to desired encoder rate information; and

disengaging automatic steering control when a result of the comparison meets a manual steering condition.

2. The automatic steering system of claim 1 , wherein the desired encoder rate information comprises an acceptable encoder rate range.

3. The automatic steering system of claim 2 , wherein the acceptable encoder rate range is based on a history of the desired encoder rate.

4. The automatic steering system of claim 2 , wherein the manual steering condition comprises the current encoder rate being outside the acceptable encoder rate range.

5. The automatic steering system of claim 4 , wherein the manual steering condition further comprises the current encoder rate being outside the acceptable encoder rate range for a number of consecutive comparisons exceeding a counter threshold.

6. The automatic steering system of claim 4 , wherein the manual steering condition further comprises the current encoder rate being outside the acceptable encoder rate range by a difference exceeding a difference threshold.

7. The automatic steering system of claim 1 , wherein the current encoder information comprises a current encoder position.

8. The automatic steering system of claim 1 , wherein the current encoder information comprises the current encoder rate.

9. An automatic steering system for an agricultural vehicle, comprising:

a steering sensor configured to mount to an agricultural vehicle with an assisted steering device and provide a feedback signal comprising vehicle steering information for automatically controlling the assisted steering device; and

a controller operably coupled to the steering sensor and configured to:

receive the feedback signal and current steering information from the steering sensor;

determine desired steering rate information based on the current steering information and a desired steering position;

compare a current steering rate to the desired steering rate information; and

disengage automatic steering control based on comparing the current steering rate to the desired steering rate information;

wherein the assisted steering device comprises a motor and an encoder and is configured to mount to a steering wheel of the agricultural vehicle such that the motor is offset from a steering axis of the steering wheel.

10. The automatic steering system of claim 9 , wherein the controller is further configured to update a counter based on comparing the current steering rate to the desired steering rate information and disengage the automatic steering control when the counter exceeds a counter threshold.

11. The automatic steering system of claim 9 , wherein the controller is further configured to determine a difference between the current steering rate and the desired steering rate information and disengage the automatic steering control when the difference exceeds a difference threshold.

12. The automatic steering system of claim 9 , wherein the desired steering rate information comprises a desired steering rate for operating the steering device.

13. The automatic steering system of claim 9 , wherein the desired steering rate information comprises an acceptable steering rate range.

14. The automatic steering system of claim 13 , wherein the controller is further configured to determine the acceptable steering rate range based on a history of a desired steering rate for operating the steering device.

15. The automatic steering system of claim 9 , wherein

the controller is operably coupled to the assisted steering device,

the steering sensor comprises the encoder,

the current steering information comprises current encoder information,

the desired steering rate information comprises desired encoder rate information, and

the current steering rate comprises a current encoder rate.

16. A method for steering an agricultural vehicle, comprising:

steering the agricultural vehicle with an assisted steering device comprising a motor and an encoder, the assisted steering device being mounted to a steering wheel of the vehicle with the motor offset from a steering axis of the steering wheel;

receiving a feedback signal comprising current steering information with a controller configured to operate the assisted steering device;

comparing the current steering information to desired steering information; and

disengaging automatic steering control when a result of the comparison meets a manual steering condition.

17. The method of claim 16 ,

further comprising receiving the feedback signal from the assisted steering device;

wherein the current steering information comprises a current encoder rate; and

wherein the desired steering information comprises an acceptable encoder rate range.

18. The method of claim 17 , wherein the manual steering condition comprises the current encoder rate being outside the acceptable encoder rate range.

19. The method of claim 18 , wherein the manual steering condition further comprises the current encoder rate being outside the acceptable encoder rate range for a number of consecutive comparisons exceeding a counter threshold.

20. The method of claim 18 , wherein the manual steering condition further comprises the current encoder rate being outside the acceptable encoder rate range by a difference exceeding a difference threshold.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 16, 2022
From: CALDERON, JOSUE
To: AG LEADER TECHNOLOGY
Reel/Frame 059921/0159 →
Continuity (2)
Provisional Application 63176408 · Apr 19, 2021
Related Publication 20220332365A1 · Oct 20, 2022
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Gyubeom et al., Parking Line Based SLAM Approach Using AVM/LiDAR Sensor Fusion for Rapid and Accurate Loop Closing and Parking Space Detection, 2019. [cited by applicant]
“Machine Sync Activation”, https://www.deere.com/en/technology-products/precision-ag-technology/guidance/machine-sync/, Unknown—available as early as 2018, Publisher: John Deere US. [cited by applicant]
Leonard et al, Dyanmic map build for an autonomous mobile robot, Aug. 1, 1992. [cited by applicant]
Muller Elektronik GMBH & Co. KG, “Installation and Operating Instructions Trail-Control Manufacturer”, Mar. 2001, Published in: Germany. [cited by applicant]
Muller-Elektronik GMBH & CO.KG, “Hardi Auto-Track Instruction Book”, Jan. 10, 1996, Published in: Germany. [cited by applicant]
Muller-Elektronik GMBH & CO.KG, “Installation and Users Guide Trail—Control II”, Sep. 1, 2010, Published in: Germany. [cited by applicant]
P. Barry and R. Coakley, 2015, Accuracy of UAV Photogrammetry Compared with Network RTK GPS. [cited by applicant]
Pajares—2016, Machine-Vision systems selection for agricultural vehicles: A Guide, Ganzalo Pajares, et al., Nov. 22, 2016. [cited by applicant]
PIX4D, Do RTK/PPK Drones give you better results than GCPs?, Aug. 26, 2017 https://www.pix4d.com/blog/rtk-ppk-drones-gcp-comparison. [cited by applicant]
PIX4D, Ground Control Points: why are they important?, Dec. 3, 2019, https://www.pix4d.com/blog/why-ground-control-points-important. [cited by applicant]
AutoFarm/Novariant system. [cited by applicant]
JD, CIH Steerable wheels. [cited by applicant]
Orthman—Steerable guidance coulters—Tracker IV. [cited by applicant]
Orthman 2. [cited by applicant]
Orthman 3. [cited by applicant]
Protracker Guidance Systems—300DB Hydraulic Hitch Specifications. [cited by applicant]
Raven Cart Automation—https://www.ravenind.com/products/autonomy/raven-cart-automation. [cited by applicant]
Tracking 1. [cited by applicant]
Tracking 2. [cited by applicant]
Ehab Ghanem, Kyle O'Keefe, and Richard Klukas. Testing vehicle-to-vehicle relative position and at-titude estimation using multiple uwb ranging. In 2020 IEEE 92nd Vehicular Technology Conference (VTC2020—Fall), pp. 1-5.… [cited by applicant]
OnTrac3—PN2006236. [cited by applicant]
Sunco Farm Equipment—Pull Implement Guidance. [cited by applicant]
Wei Jiang, Zhuojian Cao, Baigen Cai, Binghao Li, and Jian Wang. Indoor and outdoor seamless po-sitioning method using uwb enhanced multi-sensor tightly-coupled integration. IEEE Transactions on Vehicular Technology, 70 … [cited by applicant]
Yu Xianjia, Li Qingqing, Jorge Pena Queralta, Jukka Heikkonen, and Tomi Westerlund. Cooperative uwb-based localization for outdoors positioning and nav-igation of uavs aided by ground robots. In 2021 IEEE International … [cited by applicant]
Anand et al., “AgriSegNet: Deep Aerial Semantic Segmentation Framework for IoT-Assisted Precision Agriculture”, IEEE Sensors Journal, 2021, p. 17581-17590, vol. 21, No. 16. [cited by applicant]
Bhagat et al., “MS-Net: A Cnn Architecture for Agriculture Pattern Segmentation in Aerial Images”, 2022, Publisher: Cham: Springer International Publishing. [cited by applicant]
Imai et al., “Shadow detection in hyperspectral images acquired by UAV”, The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019, pp. 371-377. [cited by applicant]
Innani et al., “Fuse-pn: A novel architecture for anomaly pattern segmentation in aerial agricultural images”, 2021. [cited by applicant]
Shrestha et al., “Automatic Corn Plant Population Measurement Using Machine Vision”, Agricultural and Biosystems Engineering Conference Proceedings and Presentations., 2001, No. 37. [cited by applicant]
Shrestha et al., “Shape and Size Analysis of Corn Plant Canopies for Plant Population and Spacing Sensing”, 2005, pp. 295-303. [cited by applicant]
Tang et al., “Plant Identification in Mosaicked Crop Row Images for Automatic Emerged Corn Plant Spacing Measurement”, 2008, pp. 2181-2191. [cited by applicant]
Thorp et al., “Using Aerial Hyperspectral Remote Sensing Imagery to Estimate Corn Plant Stand Density”, 2008, pp. 311-320. [cited by applicant]
Wolters, D., “Assessment of Corn Plant Population at Emergence from Processed Color Aerial Imagery”, 2015. [cited by applicant]
Agjunction—Wheelman Flex Installation Guide, Fit Kit: 810-0036-01. [cited by applicant]
Case IH Active Implement Guidance—https://www.youtube.com/watch?v=Kb059Tj1Q_k. [cited by applicant]
CHCNAV—ANX510 Se AutoSteer. [cited by applicant]
FJDynamics—GPS Guidance Auto Steer System for Tractor. [cited by applicant]
FJDynamics—Navigate to Next-level Efficiency—Fjd AT2 Auto Steer System. [cited by applicant]
John Deere—Auto Trac Universal (ATU) Steering Kit, 2007. [cited by applicant]
John Deere—Precision Ag Technology—AutoTrac Universal 300. [cited by applicant]
Orthman—Tracker implement guidance—UNKNOWN available as early as 2012—https://www.facebook.com/orthmanag/videos/tracker-implement-guidance/3057072390855/. [cited by applicant]
Raven Industries—Direcsteer, available as early as 2023—received Sep. 5, 24. [cited by applicant]
Raven Industries—SmartTrax MD Installation Manual, 2013—received Sep. 5, 24. [cited by applicant]
John Deere FarmSight—Active Implement Guidance, available as early as 2013—https://www.youtube.com/watch? v=JqBM1hH_MBs. [cited by applicant]
Trimble—EZ-Pilot Pro Guidance System, 2018. [cited by applicant]
Trimble—EZ-Steer System, 2010. [cited by applicant]
AutoFarm—OnTrac2, UNKNOWN available as early as 2009, https://www.farmprogress.com/farming-equipment/autofarm-introduces-ontrac2-gps-assisted-steering-system. [cited by applicant]
Novariant—Ontrac2+, UNKNOWN available as early as 2012. [cited by applicant]
Protracker Guidance Systems—400DB Hydraulic Hitch Specifications. [cited by applicant]
GameMaker Community—https://forum.gamemaker.io/index.php?threads/sprite-real-time-multi-recoloring-using-shaders. 12601, 2016—194493 Dec. 17, 24. [cited by applicant]
Ashley Napier, Paul Newman, “Generation and Exploitation of Local Orthographic Imagery for Road Vehicle Localisation”, 2012, 2012 IEEE Intelligent Vehicles Sysmposium, pp. 590-596, DOI: 10. 1109/IVS.2012.6232165. [cited by applicant]