Vehicle Identifying Device Using Map-Based Behavior Estimation
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Solution Overview
Problem
Existing vehicle identifying devices rely solely on inter-vehicle distance to determine if a target vehicle is automatically driven, which is not accurate in varying situations, leading to a need for a device that uses alternative parameters to identify automatic driving vehicles.
Innovation Solution
A vehicle identifying device that acquires the behavior of a target vehicle through external sensors and estimates its behavior based on map information, comparing the actual behavior with estimated behavior to determine if the vehicle is automatically driven, using past map information, traffic rules, or acceleration changes over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If inter-vehicle distance is used to determine whether a target vehicle is automatically driven, then the determination can be made based on simple measurement, but the accuracy of identification deteriorates in varying situations
Solution Approach 1:
The patent changes the parameter used for identification from inter-vehicle distance to behavioral patterns including acceleration, deceleration, and steering operations. This allows the system to maintain measurement simplicity while significantly improving identification accuracy by using parameters that better distinguish automatic from manual driving behaviors across various situations.
Solution Approach 2:
The patent transitions from a one-dimensional measurement (inter-vehicle distance) to multi-dimensional behavioral analysis (acceleration, deceleration, steering operations). This dimensional expansion enables more accurate identification by capturing the complexity of driving behavior patterns rather than relying on a single parameter.
2Measurement precision
If map information is used to estimate target vehicle behavior, then identification accuracy improves, but the device complexity increases
Solution Approach 1:
The system pre-stores map information including road configurations, traffic rules, and signage data before they are needed for identification. This preliminary preparation allows the system to quickly compare actual vehicle behavior against expected behaviors without real-time computational complexity, thereby improving identification accuracy while managing device complexity.
Solution Approach 2:
The patent creates a virtual model of expected vehicle behavior by copying and adapting map information (road layouts, traffic rules) into behavioral predictions. This copying approach allows accurate estimation of how an automatically driven vehicle should behave without requiring complex real-time simulation, thus improving identification while controlling system complexity.
Data Source
AI summary
A vehicle identifying device is configured to identify a target vehicle around a vehicle. The vehicle identifying device includes circuitry configured to: acquire a behavior of the target vehicle based on a detection result of an external sensor; estimate a behavior of the target vehicle in a case where the target vehicle is an automatically driven vehicle based on map information; and identify whether the target vehicle is the automatically driven vehicle based on a result of comparison between the acquired behavior of the target vehicle and the estimated behavior.