Driving Assistance Collision Prediction Using V2V Blinker States
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Solution Overview
Problem
Existing systems face challenges in accurately determining the blinker indication state of other vehicles, which hinders effective collision avoidance assistance in driving assistance devices.
Innovation Solution
A driving assistance device that utilizes vehicle-to-vehicle communication to acquire peripheral vehicle information, including speed, position, and blinker state, and predicts potential collisions based on this data to provide appropriate notifications to the driver.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a sensor such as a camera is used to acquire the blinker indication state of another vehicle, then the device can detect peripheral vehicle information, but it is difficult to accurately acquire the blinker indication state
Solution Approach 1:
The patent introduces vehicle-to-vehicle communication as an intermediary mechanism to transfer blinker indication state information directly from the peripheral vehicle to the self-vehicle. This mediator (communication system) bridges the gap between the difficulty of optical detection and the need for accurate blinker state information, allowing reliable acquisition without relying on camera-based visual detection.
2Reliability
If driving assistance notification is provided based on collision prediction, then driving safety is improved, but unnecessary notifications may occur reducing convenience
Solution Approach 1:
The patent applies preliminary action by predicting collision possibility in advance using current and historical data from both self-vehicle and peripheral vehicle (including positions, speeds, and blinker states). This advance prediction allows the system to distinguish between genuine collision risks and normal driving situations, enabling notifications to be issued only when necessary, thus improving safety without causing unnecessary disturbances to the driver.
Data Source
AI summary
A driving assistance device is configured to acquire peripheral vehicle information of a peripheral vehicle existing around a self-vehicle, predict a possibility of collision between the self-vehicle and the peripheral vehicle based on self-vehicle information and the peripheral vehicle information, and notify an occupant of the self-vehicle based on a prediction result. The device predicts a possibility of collision between the self-vehicle and the peripheral vehicle based on at least the indication state of the blinker of the self-vehicle, the indication state of the blinker of the peripheral vehicle, and the position of the peripheral vehicle with respect to the self-vehicle.