Vehicle Early Warning for Surrounding Collision Prediction
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Solution Overview
Problem
Existing vehicle collision warning systems are limited in their ability to predict and alert drivers to potential collisions involving surrounding vehicles, leading to reduced safety warnings and increased risk of accidents when collisions occur between other vehicles.
Innovation Solution
An ego-vehicle warning method that determines a nearby area based on moving information, classifies surrounding vehicles, calculates the shortest distance between nearby and remote vehicles, and sends alarm information to the driver when a collision risk is detected, identifying the most threatening vehicle and prompting the driver to take preventive action.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the existing vehicle warning method only calculates collision risk between the ego-vehicle and surrounding vehicles, then the calculation process is simple, but the safety warning capability is reduced when collisions occur between other surrounding vehicles
Solution Approach 1:
The patent performs preliminary classification of surrounding vehicles into nearby vehicles and remote vehicle sets, and pre-calculates moving paths and collision risks before actual collision occurs. This allows the system to anticipate collisions between surrounding vehicles and issue warnings in advance, improving safety warning capability while managing computational complexity through structured pre-processing
Solution Approach 2:
The patent segments surrounding vehicles into different categories (nearby vehicles and remote vehicle sets) based on their spatial relationships with the ego-vehicle. This segmentation allows the system to apply different calculation strategies to different vehicle groups, managing complexity by focusing computational resources on relevant segments rather than treating all vehicles uniformly
2Reliability
If the system monitors all surrounding vehicles for collision risks, then the safety warning capability is improved, but the computational load and processing time increase
Solution Approach 1:
The patent applies different levels of monitoring and calculation intensity to different vehicle groups based on their local characteristics. Nearby vehicles receive more intensive monitoring and path prediction, while remote vehicles are monitored with less computational resources. This localized quality approach ensures accurate collision risk detection for critical vehicles while reducing overall processing time
Data Source
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AI summary
An ego-vehicle warning method and apparatus are provided. The method includes: determining a nearby area of an ego-vehicle based on moving information of the ego-vehicle; performing target classification on vehicles surrounding the ego-vehicle to obtain nearby vehicles in a plurality of directions and remote vehicle sets in the plurality of directions; for any remote vehicle in a remote vehicle set, calculating a shortest distance between the remote vehicle and a nearby vehicle in each direction that matches a direction of the remote vehicle in the plurality of directions in a future time period, and recording a time T when the shortest distance is less than a threshold D; and sending alarm information to a driver of the ego-vehicle based on the recorded time T, where the alarm information is used to indicate to the driver that an accidental collision accident not caused by the ego-vehicle or another accidental collision accident may occur in a direction of the nearby vehicle corresponding to the earliest time T. The method is used to resolve a problem that a safety warning capability of the ego-vehicle is relatively low when an accidental danger not caused by the ego-vehicle occurs between vehicles surrounding the ego-vehicle.