Vehicle Behavior Estimation Using Dynamic Acceleration Constraints

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Solution Overview

Problem

Current vehicle behavior estimation devices inaccurately predict vehicle behavior by assuming constant speed between observation points, failing to account for physical laws and surrounding traffic states, leading to unrealistic acceleration and deceleration patterns and inconsistent time and speed data across multiple observation points.

Innovation Solution

A vehicle behavior estimation device that calculates and updates behavior parameters based on restriction conditions, including acceleration and deceleration limits, and physical vehicle characteristics, to simulate vehicle behavior accurately across multiple observation points, taking into account surrounding traffic and physical laws.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If constant speed is assumed between observation points, then calculation is simplified, but vehicle behavior estimation accuracy deteriorates

Engineering Contradiction:
Improvecalculation simplicityVSAvoidvehicle behavior estimation accuracy
Core Design Contradiction:
Ease of manufactureVSMeasurement precision

Solution Approach 1:

The patent applies dynamics by transitioning from a static constant-speed assumption to a dynamic model that calculates time-varying acceleration and deceleration. The vehicle behavior estimation device computes acceleration based on observed position and time data, then uses these acceleration values to predict speed and position at intermediate points, accurately reflecting the dynamic nature of actual vehicle motion.

Inventive Principle:
Principle #15Dynamics

2Device complexity

If physical restriction conditions are not considered, then calculation process is simpler, but behavior prediction realism deteriorates

Engineering Contradiction:
Improvecalculation process complexityVSAvoidbehavior prediction realism
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The patent implements parameter changes by introducing physical restriction parameters (acceleration limits, deceleration limits) into the behavior estimation model. These parameters constrain the calculated acceleration values to realistic ranges, ensuring that the predicted vehicle behavior remains physically plausible while maintaining computational feasibility through defined boundary conditions.

Inventive Principle:
Principle #35Parameter changes

3Productivity

If acceleration and deceleration patterns are not constrained by physical laws, then computation is faster, but consistency across observation points deteriorates

Engineering Contradiction:
Improvecomputation speedVSAvoiddata consistency
Core Design Contradiction:
ProductivityVSStability of the object's composition

Solution Approach 1:

The patent applies feedback by using observed position and time data from multiple observation points to calculate acceleration, then using this acceleration information to predict and verify speed and position at intermediate points. This closed-loop approach ensures that the estimated behavior is consistent with all observed data points while maintaining computational efficiency through direct calculation formulas.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS8930173B2Vehicle behavior estimation device
Publication Date: 2015.01.06 FUJITSU LTD
  • US8930173B2 patent drawing
  • US8930173B2 patent drawing
  • US8930173B2 patent drawing

AI summary

A vehicle behavior estimation device includes: a storage unit configured to store a restriction condition at a point of a vehicle for which behavior is estimated; vehicle state data that includes position information and speed information of the vehicle; behavior parameters that include speed information and acceleration information of the vehicle; and physical restriction conditions that include an upper limit and a lower limit of the acceleration information; and a processor configured to obtain the vehicle state data by using the restriction condition at the point; calculate behavior parameters of a vehicle model that satisfy a physical restriction condition from the vehicle state data and the restriction condition at the point; update the vehicle state data of the vehicle model based on the behavior parameters; and repeat processing to calculate behavior parameters by using the updated vehicle state data and to update the vehicle state data.