DRIVER QUALITY ASSESSMENT FOR DRIVER EDUCATION
First Claim
Patent Images
1. A training method for evaluating driver performance relative to a standard set by other fully trained drivers comprising:
- generating a first data stream representing sequences of driver head position and eve gaze directions associated with specific vehicle maneuvers;
generating a second data stream representing vehicle actions associated with specific maneuvers of a vehicle;
producing a running score for each driver action sequence associated with a specific vehicle maneuver from the second data stream as measured against a standard sequence created from the performance of different, fully trained drivers performing the same maneuvers in an ideal fashion; and
adjusting each score based on a comparison of the times required by the driver to perform said head position and eye gaze direction actions in each scored sequence relative to a timing standard so as to provide a numerical score for an evaluator to determine the extent to which a driver under examination is progressing.
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Abstract
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.
269 Citations
14 Claims
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1. A training method for evaluating driver performance relative to a standard set by other fully trained drivers comprising:
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generating a first data stream representing sequences of driver head position and eve gaze directions associated with specific vehicle maneuvers; generating a second data stream representing vehicle actions associated with specific maneuvers of a vehicle; producing a running score for each driver action sequence associated with a specific vehicle maneuver from the second data stream as measured against a standard sequence created from the performance of different, fully trained drivers performing the same maneuvers in an ideal fashion; and adjusting each score based on a comparison of the times required by the driver to perform said head position and eye gaze direction actions in each scored sequence relative to a timing standard so as to provide a numerical score for an evaluator to determine the extent to which a driver under examination is progressing. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A system for evaluating driver performance comprising:
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means for generating a first data stream representing sequences of driver actions; means for generating a second data stream representing vehicle actions; means for producing a score for each driver action sequence associated with a vehicle action in the second data stream as measured against a standard sequence based on the execution of said vehicle actions by a different driver; and means for adjusting each score based on a comparison of the times required to perform the driver actions in each scored sequence relative to a timing standard. - View Dependent Claims (8)
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9. A driver training method for evaluating a driver'"'"'s proficiency in performing a set of predetermined vehicle maneuvers comprising the steps of:
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a. generating a first data stream representing a sequence of vehicle maneuvers performed during a driver exercise; b. correlating the data from each maneuver with a second data stream representing driver actions produced during the sequence of vehicle maneuvers; and c. scoring each driver action against the actions taken by a skilled driver performing the same maneuvers. - View Dependent Claims (10, 11, 12)
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13. A method for evaluating the performance of a driver in training while performing a set of pre-established vehicle maneuvers relative to standards set by at least one fully trained driver performing the same maneuvers comprising the steps of:
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generating a data stream representing sequences of driver eye and head movements correlated with specific vehicle maneuvers; analyzing the data stream to determine whether the driver in training has performed the same eye and head movements as those performed by the fully trained driver; producing a cumulative score for the driver in training; and adjusting the score by comparing the times required by the driver in training to perform the eye and head movements relative to the time taken by the fully trained driver in performing the same movements. - View Dependent Claims (14)
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Specification