Vehicle Prediction Device Integrating Driver Confirmation State
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Solution Overview
Problem
Conventional vehicle action prediction devices fail to accurately predict future vehicle actions as they rely solely on objective sensor data, neglecting the driver's subjective recognition of surroundings, which reduces prediction precision.
Innovation Solution
A moving body prediction device that incorporates movement state, surrounding state, and confirmation state information, including driver face image data and biological signals, to predict future moving speeds and potential collisions, while reflecting the driver's recognition state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional vehicle action prediction devices use only objective sensor data, then the system complexity is reduced, but prediction precision deteriorates
Solution Approach 1:
The patent merges objective sensor data (camera, radar) with subjective driver recognition data (face image, confirmation state) into a unified prediction system. The moving body prediction device integrates multiple information sources including movement state information, surrounding state information, and confirmation state information to achieve more accurate predictions while managing system complexity through structured data fusion
Solution Approach 2:
The patent introduces an intermediary layer that processes and reconciles differences between objective sensor measurements and driver subjective recognition. The system uses the confirmation state information as a mediator to adjust and refine predictions based on driver perception, which may differ from objective measurements
2Measurement precision
If the system incorporates driver confirmation state information, then prediction precision improves, but information processing complexity increases
Solution Approach 1:
The patent segments the information processing into distinct modules: movement state information acquisition, surrounding state information acquisition, and confirmation state information acquisition. Each module processes specific types of data independently before integrating them in the prediction unit, reducing overall information processing complexity while maintaining comprehensive data utilization
Solution Approach 2:
The patent applies different processing qualities to different information types. Confirmation state information is processed to capture driver attention and perception characteristics, while movement and surrounding state information are processed objectively. This localized quality approach allows efficient processing of diverse data types with appropriate methods
Data Source
AI summary
A predictor 62 predicts a future of a prediction target in a monitoring area. The predictor 62 includes a movement state information acquirer 620 configured to acquire movement state information, a surrounding state information acquirer 621 configured to acquire surrounding state information regarding movement states of traffic participants around the prediction target, a confirmation state information acquirer 623 configured to acquire confirmation state information regarding a surrounding confirmation state of a driver of the prediction target, a moving speed predictor 624 configured to predict a future moving speed of the prediction target on a basis of the movement state information, the surrounding state information, and the confirmation state information, and a collision predictor 625 configured to predict whether or not a collision will occur in a future of the prediction target on the basis of the movement state information, the surrounding state information, and the future moving speed.