Vehicle-Mounted Camera Display for Turn Intention Prediction
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Solution Overview
Problem
Existing technologies fail to accurately predict the intention of a mobile object's behavior, particularly in determining whether it intends to turn right or left, which limits the effectiveness of providing timely and relevant information to users about the presence of traffic participants.
Innovation Solution
A method and system that utilize a terminal device equipped with a camera to capture images at different times, analyze these images to predict the intention of a mobile object's behavior by comparing rotated images and displaying an alarm about the presence of traffic participants based on the predicted behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image comparison methods are used to detect traffic participants, then detection capability is provided, but the ability to predict mobile object behavior intention is insufficient
Solution Approach 1:
The patent segments the behavior analysis into multiple independent detection components: traffic participant detection, mobile object detection, and intention prediction modules. Each module processes specific aspects separately before integrating results, allowing comprehensive analysis without overwhelming a single detection system.
Solution Approach 2:
The system performs preliminary detection of traffic participants and mobile objects before predicting behavior intentions. By first identifying objects in the scene and their basic states, the system prepares foundational data that enables more accurate intention prediction subsequent to the initial detection phase.
2Loss of information
If general alarm display is used, then information is provided to users, but the information is not timely or relevant to predicted behavior
Solution Approach 1:
The alarm display adapts its characteristics based on the predicted behavior intention of the mobile object. Different visual patterns, colors, or positions are used depending on whether turning left, turning right, or straight movement is predicted, making the alarm information locally optimized for each specific scenario.
Solution Approach 2:
The system creates a feedback loop where detected traffic participants and mobile objects inform intention prediction, which in turn guides the alarm display content. This closed-loop approach ensures the displayed information is continuously relevant to the current predicted behavior state.
3Device complexity
If simple image capture is used, then basic detection is achieved, but accurate behavior intention prediction cannot be made
Solution Approach 1:
The patent transitions from two-dimensional image capture to multi-dimensional analysis by incorporating temporal dimension (sequences of images over time) and behavioral dimension (predicted intentions). This dimensional expansion enables accurate intention prediction while maintaining relatively simple image capture hardware.
Solution Approach 2:
The system introduces behavior intention prediction as an intermediary layer between simple image capture and complex alarm display. This intermediary processing stage transforms basic visual data into meaningful behavioral insights without requiring direct complex interaction between capture and display systems.
Data Source
AI summary
An information supply method is a method of causing a computer of a terminal device equipped with a camera and mounted in a mobile object to execute: a process of acquiring images captured at different times; a process of predicting whether the mobile object has an intention to turn right or left based on the images captured at the different times; and a process of displaying an image for an alarm about presence of a traffic participant on a display provided on a casing in which the camera of the terminal device is provided based on a result of the estimation.