Smartphone Trailer Measurement Using Vehicle Reference Features

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Solution Overview

Problem

Existing methods for measuring trailer dimensions, such as manual tape measurement and onboard sensor systems, are cumbersome, time-consuming, and prone to errors, hindering the optimal performance of advanced driver assistance systems.

Innovation Solution

A trailer measurement system using a smartphone with a camera and optional LiDAR sensor to capture images from multiple angles, applying photogrammetry and image recognition to construct a three-dimensional model, and derive trailer dimensions based on known vehicle features.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If manual tape measurement is used to measure trailer dimensions, then the measurement process can be performed with simple equipment, but the process becomes time-consuming and cumbersome

Engineering Contradiction:
Improvemeasurement process simplicityVSAvoidmeasurement time
Core Design Contradiction:
Ease of manufactureVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical tape measurement with an automated optical measurement system using a camera to capture images and process them through image recognition algorithms. This substitution eliminates the need for physical tape measures and manual measurement actions, significantly reducing measurement time while maintaining accuracy.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent creates a digital copy (photograph) of the trailer and its reference features, then processes this copy through image recognition to extract dimensional information. This copying approach allows measurements to be taken without physical contact with the trailer, speeding up the process while preserving measurement accuracy.

Inventive Principle:
Principle #26Copying

2Extent of automation

If onboard sensors are used to automate trailer dimension measurement, then the measurement process is automated and convenient, but the system complexity increases

Engineering Contradiction:
Improvemeasurement automationVSAvoidsystem complexity
Core Design Contradiction:
Extent of automationVSDevice complexity

Solution Approach 1:

The patent introduces a portable electronic device (smartphone or tablet) as an intermediary between the trailer and the measurement system. This device captures images and performs initial processing, then transmits data to the vehicle's processor. This intermediary approach distributes system complexity across multiple components rather than concentrating it all in the vehicle, making the overall system more manageable.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent uses a portable electronic device that can serve multiple functions: capturing images of the trailer, processing images through photogrammetry, storing measurement data, and communicating with the vehicle system. This multi-functional approach reduces the need for dedicated specialized equipment, thereby reducing overall system complexity while maintaining automation.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Ease of manufacture

If traditional measurement methods are used, then equipment requirements are minimal, but measurement accuracy is compromised due to manual errors

Engineering Contradiction:
Improveequipment simplicityVSAvoiddimensional accuracy
Core Design Contradiction:
Ease of manufactureVSMeasurement precision

Solution Approach 1:

The patent replaces manual mechanical measurement with automated optical measurement using a camera and image recognition algorithms. This substitution eliminates human reading and recording errors, providing more consistent and accurate measurements while requiring only a camera and processing software.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent implements a feedback mechanism where the image recognition system automatically detects reference features, calculates their real-world dimensions based on stored reference data, and uses this information to scale and measure the trailer features. This closed-loop feedback process ensures measurement accuracy by continuously verifying measurements against known reference standards.

Inventive Principle:
Principle #23Feedback

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Accurately and efficiently determines trailer dimensions with reduced user effort, enhancing the functionality of advanced driver assistance systems by providing precise measurements for features like axle position, trailer length, and width.

Implementation Method 1

receiving a first image data set obtained from a first imager included in a portable electronic device

Methodology Applied
Scientific EffectLight reflection: Reflection

Implementation Method 2

the processor can use a photogrammetry process to construct the first image data set into a three-dimensional model of the vehicle and trailer

Methodology Applied
Scientific EffectPhotogrammetry: Photogrammetry

Implementation Method 3

the trailer measurement system can further include a lidar sensor, the processor can receive three-dimensional point-location data from the lidar sensor

Methodology Applied
Scientific EffectLight detection and ranging: LIDAR

Data Source

PatentUS20250363652A1Smart device for estimation of trailer characteristics
Publication Date: 2025.11.27 FORD GLOBAL TECH LLC
  • US20250363652A1 patent drawing
  • US20250363652A1 patent drawing
  • US20250363652A1 patent drawing

AI summary

A trailer measurement system includes a processor receiving a first image data set obtained from a first imager included in a portable electronic device external to the vehicle, identifying a vehicle and a trailer coupled with the vehicle in the first image data set, and identifying a reference feature having at least one known dimension in the first image data set. The processor then derives a scaling factor for the first image data set by comparing a size of the reference feature with respect to the first image data set and the at least one known dimension and uses the scaling factor to derive at least one trailer feature dimension from the trailer identified in the first image data set.