Trailer Hitch Angle Detection With Adaptive Camera Learning
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Solution Overview
Problem
Existing hitch angle detection systems struggle to achieve high accuracy for trailers with unique designs or customizations without significantly increasing the data preparation load.
Innovation Solution
A hitch angle detection system that utilizes a camera on a vehicle to capture images of a trailer, performs initial learning using standard trailer data, and allows for additional learning through user input and server updates to enhance model accuracy for unique trailers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If learning data is prepared for all types of trailers to improve detection accuracy, then detection accuracy is improved, but the load for preparing learning data increases excessively
Solution Approach 1:
The system segments the learning process into two distinct phases: initial learning using standard trailer data, and additional learning using actual trailer data. This segmentation allows the system to handle different trailer types without requiring comprehensive pre-prepared data for all possible variations, thus reducing the overall data preparation load while maintaining detection accuracy.
Solution Approach 2:
The system performs preliminary learning using standard trailer data before actual use. This preliminary action provides a baseline model that can be quickly adapted later through additional learning with actual trailer data, reducing the need for extensive pre-preparation of all possible trailer type data.
2Quantity of substance
If a model is learned using typical trailer data to reduce data preparation load, then data preparation load is reduced, but detection accuracy for characteristic trailers deteriorates
Solution Approach 1:
The system makes the learning model dynamic by allowing it to be updated through additional learning with actual trailer data. Instead of using a static model trained only on typical trailers, the model adapts to the specific characteristics of the actual trailer through the additional learning process, thereby maintaining high detection accuracy for characteristic trailers while keeping initial data preparation load low.
Solution Approach 2:
The system incorporates feedback through the additional learning process, where the actual trailer data and corresponding hitch angle information are used to refine and update the model. This feedback mechanism enables the model to improve its accuracy for specific trailers without requiring extensive pre-preparation of data for all trailer types.
3Measurement precision
If mechanical sensors are attached to each trailer to improve detection accuracy, then detection accuracy is improved, but device complexity and cost increase
Solution Approach 1:
The system replaces mechanical sensors with an image processing-based detection method. Instead of attaching physical sensors to each trailer, the system uses images captured by the vehicle's camera and processes them through a learning model to detect hitch angles. This substitution eliminates the need for mechanical components while maintaining detection accuracy through the additional learning capability.
Solution Approach 2:
The system creates a virtual model of the trailer through image processing and learning, replacing the need for physical sensors. The learning model learns to extract hitch angle information from images, effectively copying the measurement function of mechanical sensors but without the associated complexity and cost of physical attachment.
Data Source
AI summary
A hitch angle detection device detects a trailer hitch angle based on a trailer image shot by a vehicle camera using a model obtained by performing learning using learning data of a learning trailer image shot by a learning vehicle camera and a label indicating learning trailer hitch angle, additional learning of the model is performed in a server by using additional learning data of an additional learning trailer image shot by the vehicle camera and the label indicating the trailer hitch angle when the additional learning trailer image is shot, input of the trailer hitch angle is accepted by a vehicle HMI, the hitch angle detection device detects the trailer hitch angle based on the trailer image shot by the vehicle camera by using the model with the additional learning performed in the server.