Vehicle Behavior Prediction via Location and State Correlation
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Solution Overview
Problem
Existing vehicle behavior prediction systems require a large number of sensors and extensive data acquisition to measure various behavior factors, leading to inefficiencies and increased complexity, especially when predicting typical behaviors like deceleration at narrow roads or acceleration for speed limit changes.
Innovation Solution
A system that uses a location sensor to measure vehicle location and a state sensor to measure vehicle state, correlating these with historical data points to predict behavior, reducing the need for additional sensors and data dimensions, thereby improving prediction efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a large number of behavior factors are measured using multiple sensors, then prediction accuracy is improved, but device complexity and data acquisition burden increase
Solution Approach 1:
The patent extracts only the essential behavior factors (vehicle state and location) from the comprehensive set of possible behavior factors, eliminating the need for numerous sensors while maintaining prediction capability for typical driving behaviors
Solution Approach 2:
The patent makes the vehicle state sensor and location sensor serve multiple functions by correlating their data with historical driving patterns to predict various behaviors (deceleration, acceleration, lane changes) without requiring dedicated sensors for each behavior type
2Reliability
If extensive data acquisition is performed to cover all behavior factors, then prediction reliability is improved, but data processing complexity and storage requirements increase
Solution Approach 1:
The patent extracts and retains only the critical data elements (vehicle state and location information) from the full set of possible behavior factors, reducing data volume while preserving the ability to predict typical driving behaviors through correlation with historical data
Solution Approach 2:
The patent performs preliminary correlation between vehicle state/location data and historical driving patterns during the data processing stage, enabling reliable predictions without needing to acquire and process extensive raw data for every possible behavior factor
Data Source
AI summary
Example implementations described herein involve a system for predicting vehicle behavior with a higher efficiency which can reduce the number of sensors and the amount of data needed for vehicle control systems. Example implementations described herein can be used for any type of vehicle control system, such as a powertrain control system, an adaptive cruise control system, an autonomous driving system, because the target vehicle to be predicted can be replaced to a preceding vehicle, a surrounding vehicle, and an ego vehicle.