Method for performing driving route optimization

Alexander Grever, Osnabrück (DE); Hannes Mählmann-Dunker, Neuenkirchen (DE); Stefan Haverkamp, Ostbevern (DE)

USPTO: us-12653086 · published 2026-06-16 · patents · A01B 69/008· G01C 21/20· G05D 1/0219

Method for performing driving route optimization

Alexander Grever, Osnabrück (DE) , Hannes Mählmann-Dunker, Neuenkirchen (DE) , Stefan Haverkamp, Ostbevern (DE) This is my paper

Pith reviewed 2026-06-19 21:31 UTC · model grok-4.3

classification patents A01B 69/008G01C 21/20G05D 1/0219

keywords driving route optimizationagricultural machine controlfield cultivationparallel lane routingorientation and positioningorder optimizationcomputer-assisted navigation

0 comments

The pith

A computer system optimizes an agricultural machine's field route by testing combinations of lane orientation, positioning, and driving order, then selecting the best overall.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper describes a method where a computer controls an agricultural machine to cultivate fields by driving parallel lanes. Routes are defined by three variables: the orientation of the lanes, their positioning within the field, and the sequence in which they are traversed. For every possible orientation and positioning pair, the method first identifies the single best order of lanes according to a chosen optimization criterion. It then compares the resulting routes across all pairs and selects the single combination that scores highest overall. The machine is then directed to follow that route automatically.

Core claim

The method provides automatic optimization of the driving route by ascertaining, from the plurality of combinations incorporating the optimum order for each, a combination that is optimum in accordance with the optimization criterion and that corresponds to an optimum driving route for this cultivation step.

What carries the argument

Two-stage combinatorial search: first optimize lane order for each fixed orientation-positioning pair, then select the single best pair-plus-order under the same criterion.

If this is right

The machine executes the selected route without further human route planning for that cultivation step.
The same procedure can be repeated independently for each successive cultivation operation on the same field.
Only the chosen orientation, positioning, and order need to be transmitted to the machine controller.
The approach applies whenever the field can be covered by parallel lanes whose direction and starting position are variable.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

The method could be extended to cases where the optimization criterion changes between steps, such as switching from fuel minimization to soil-compaction avoidance.
If the criterion incorporates real-time sensor data, the two-stage search might be rerun during operation to adjust the remaining lanes.
Similar staged enumeration could apply to other grid-like tasks such as orchard spraying or warehouse aisle traversal.

Load-bearing premise

A single, computable optimization criterion exists that can be applied to every possible combination of orientation, positioning, and order.

What would settle it

A side-by-side field run in which the machine following the computed optimum route takes measurably more time or fuel than a manually chosen alternative route under the same criterion.

read the original abstract

1 . A method for controlling at least one agricultural machine engaged in cultivation with a computer system in communication with the agricultural machine that controls routes in field cultivation automatically, in which a predefined cultivation area ( 21 ) is driven through by an agricultural machine in accordance with a driving route (F 1 -F 5 ) containing a plurality of parallel lanes (S 1 -S 5 ), wherein the driving route (F 1 -F 5 ) is able to be characterized by an orientation (A 1 , A 2 ) of the lanes (S 1 -S 5 ), a positioning (P 1 -P 4 ) that can be varied defines positions of all of the lanes (S 1 -S 5 ), and an order (R 1 -R 5 ) in which the lanes (S 1 -S 5 ) are driven through, wherein, the method comprising the steps of: controlling the at least one agricultural machine in cultivating a field with the computer system to provide an automatic optimization of the order (R 1 -R 5 ) for each of a plurality of combinations of in each case an orientation (A 1 , A 2 ) and a positioning (P 1 -P 4 ) by ascertaining, from a plurality of orders (R 1 -R 5 ), an order (R opt ) that is optimum for this combination in accordance with a defined optimization criterion for performing driving route optimization; controlling the at least one agricultural machine in cultivating a field with the computer system to provide an automatic optimization of the driving route (F 1 -F 5 ) by ascertaining, from the plurality of combinations, incorporating the optimum order (R opt ) ascertained for the respective combination, a combination that is optimum in accordance with the optimization criterion and that corresponds to an optimum driving route (F opt ) for this cultivation step; and automatically controlling the at least one agricultural machine in cultivating a field with the compute

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Desk Editor's Note private letter to a colleague

This patent describes a two-stage combinatorial search over lane orientations, positions, and orders for agricultural field coverage but never defines the optimization criterion, leaving the core procedure non-operational.

read the letter

The patent lays out a method that generates candidate routes by varying lane orientation and positioning, finds the best driving order for each such pair according to some criterion, then picks the overall best combination. That two-stage structure is explicit and matches a practical need in parallel-pass cultivation where geometry choices and sequencing interact.

It does a reasonable job framing the problem in terms that an implementer could recognize: the machine needs to cover a set of parallel lanes, and small changes in starting angle or offset can change the best sequence. The description stays focused on that workflow without unnecessary claims.

The main gap is exactly the one the stress-test flags. The text refers to “a defined optimization criterion” but supplies no definition, no formula, and no example of how any candidate would be scored. Without that, neither the inner order optimization nor the outer selection step can be executed or checked. There are also no worked examples, no handling of turns or obstacles, and no performance data. As a patent filing this is typical, but it means the method remains at the level of a high-level procedure.

The work is aimed at engineers or IP teams in agricultural machinery who might want to protect or replicate similar route planners. It does not contain the level of detail, validation, or comparison needed for a research contribution. I would not bring it to a reading group or cite it. It does not merit sending to peer review; the missing criterion makes the central claim impossible to assess on its own terms.

Referee Report

1 major / 1 minor

Summary. The manuscript (a patent) claims a computer-implemented method for automatically optimizing driving routes of agricultural machines during field cultivation. The route is parameterized by lane orientation (A1, A2), positioning (P1–P4), and traversal order (R1–R5). The method performs a two-stage optimization: for each (A, P) pair it selects the order R_opt that is best according to a defined optimization criterion; it then selects the (A, P, R_opt) triple that is globally best under the same criterion, yielding an optimum route F_opt that is used to control the machine.

Significance. If the optimization criterion were fully specified and the procedure were shown to be computable and executable on real machinery, the approach could support automated route planning in precision agriculture. The two-stage enumeration structure is conceptually straightforward and could be implemented once the missing criterion is supplied.

major comments (1)

[Abstract] Abstract (and the corresponding claim language): the optimization criterion is referenced at least three times ('in accordance with a defined optimization criterion') yet is never defined, quantified, or given an explicit functional form. Without a concrete, evaluable function (e.g., total distance, time, overlap area, or fuel consumption expressed in terms of the lane parameters), neither the inner selection of R_opt for a given (A, P) nor the outer selection of the globally best triple can be performed, rendering the central algorithmic claim non-operational.

minor comments (1)

[Abstract] The abstract text is truncated mid-sentence.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the constructive review and the identification of the need for an explicit optimization criterion. We address the single major comment below.

read point-by-point responses

Referee: [Abstract] Abstract (and the corresponding claim language): the optimization criterion is referenced at least three times ('in accordance with a defined optimization criterion') yet is never defined, quantified, or given an explicit functional form. Without a concrete, evaluable function (e.g., total distance, time, overlap area, or fuel consumption expressed in terms of the lane parameters), neither the inner selection of R_opt for a given (A, P) nor the outer selection of the globally best triple can be performed, rendering the central algorithmic claim non-operational.

Authors: We agree that the manuscript as submitted does not supply an explicit functional form for the optimization criterion, which limits the ability to evaluate the two-stage procedure in practice. In the revised version we will augment both the abstract and the claim language with a concrete, evaluable example (e.g., minimization of total distance traveled, expressed as a sum over the lane parameters A, P and R). This addition will render the inner and outer selection steps computable while preserving the generality of the method for other criteria that may be substituted by the implementer. revision: yes

Circularity Check

0 steps flagged

No circularity: purely procedural description with no derivation chain

full rationale

The patent text describes a two-stage procedural method for route optimization but contains no equations, derivations, fitted parameters, or mathematical claims. The optimization criterion is referenced but never formalized or computed, which is a completeness gap rather than circularity. No self-citations, ansatzes, uniqueness theorems, or renamings appear. The central claim reduces to a high-level algorithm outline whose steps are stated directly without any reduction to prior inputs by construction. This is a standard non-finding for a non-mathematical procedural document.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

No mathematical model, data, or theoretical framework is supplied in the abstract, so no free parameters, axioms, or invented entities are introduced.

pith-pipeline@v0.9.1-grok · 5943 in / 1038 out tokens · 23198 ms · 2026-06-19T21:31:56.568917+00:00 · methodology

discussion (0)

Lean theorems connected to this paper

Citations machine-checked in the Pith Canon. Every link opens the source theorem in the public Lean library.

IndisputableMonolith.Cost.FunctionalEquation washburn_uniqueness_aczel unclear

?

unclear
Relation between the paper passage and the cited Recognition theorem.

a defined optimization criterion for performing driving route optimization

What do these tags mean?

matches: The paper's claim is directly supported by a theorem in the formal canon.
supports: The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
extends: The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
uses: The paper appears to rely on the theorem as machinery.
contradicts: The paper's claim conflicts with a theorem or certificate in the canon.
unclear: Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.