Driver Performance Evaluation Using Automated Video Analysis
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Solution Overview
Problem
Current methods for evaluating vehicle driver performance are subjective and unreliable, failing to provide objective or cumulative information on driver improvement over time.
Innovation Solution
A system that generates and filters data streams representing driver and vehicle actions, scoring them against standards using cameras and sensors to produce a running average score, adjusting for timing and eliminating spurious data through mode filtering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a road test with subjective evaluation by instructor is used, then the evaluation process is simple to implement, but the reliability and objectivity of driver performance assessment deteriorates
Solution Approach 1:
The patent replaces the mechanical/manual evaluation system (instructor observations) with an automated computer vision system using cameras and image processing algorithms. This substitution eliminates subjective human judgment while maintaining ease of implementation through automated scoring based on pre-selected driver actions and vehicle movements.
Solution Approach 2:
The system creates an objective digital copy of driver performance by capturing video data and generating scored sequences of driver actions. This digital representation allows for consistent, repeatable evaluation that can be compared across different drivers and time periods, improving reliability while keeping the evaluation process straightforward.
2Device complexity
If subjective evaluation by instructor is used, then the evaluation method is simple, but the ability to provide cumulative information on driver improvement over time deteriorates
Solution Approach 1:
The system enables continuous evaluation by automatically scoring driver performance across multiple road tests and time periods. The computer-generated scores create a cumulative record of driver improvement that can be tracked over time, transforming discrete evaluation events into a continuous improvement trajectory without increasing operational complexity.
Solution Approach 2:
The system provides automated feedback through scored sequences that show driver performance relative to ideal standards. This feedback mechanism enables drivers and instructors to track improvement over time through objective metrics, preserving cumulative information while maintaining simple evaluation procedures through automated processing.
3Measurement precision
If detailed filtering and scoring of driver action sequences is performed, then the objectivity and precision of evaluation improves, but the processing complexity and computational requirements worsens
Solution Approach 1:
The patent segments driver performance evaluation into discrete, pre-selected actions and vehicle movements. By breaking down continuous video data into specific evaluable units (head positions, gaze directions, mirror checks, lane changes), the system achieves high measurement precision while managing processing complexity through focused analysis of defined action sequences.
Solution Approach 2:
The system performs preliminary organization of evaluation criteria by pre-defining sequences of driver actions and vehicle movements that will be scored. This preliminary structuring of evaluation parameters allows for precise measurement during actual road tests while reducing real-time processing complexity, as the scoring framework is established in advance.
Data Source
AI summary
A driver performance evaluation and apparatus includes means for generating first data stream representing driver actions, a second data stream representing vehicle movements, a filtering function to eliminate short term actions in both data streams, the generation of a raw score which is independent of timing and the adjustment of the raw score based on a comparison of actual driver action timing to an ideal timing sequence to provide a final score which is an indication of driver performance/proficiency.