Apparatus and method for determining careless driving
First Claim
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1. An apparatus for determining careless driving, comprising:
- a memory configured to store program instructions; and
a processor configured to execute the program instructions, the program instructions when executed configured to;
collect driving performance data;
generate a plurality of driving patterns using the collected driving performance data;
store first driving patterns generated within a reference time at a beginning of driving as normal driving patterns;
detect careless driving patterns from second driving patterns, based on the normal driving patterns and store the detected careless driving patterns;
decide boundary values between the normal driving patterns and the careless driving patterns using an artificial neural network (ANN) technique;
if a predetermined number of the careless patters are detected from the second driving patters, determine whether third driving patterns within a threshold time unit are careless driving patterns, based on the decided boundary values; and
if the predetermined number of the careless patterns are not detected from the second driving patterns, determine whether the second driving patterns are normal driving patterns or careless driving patterns based on the normal driving patterns from the first driving patterns,wherein the plurality of driving patterns include the first driving patterns, the second driving patterns, and the third driving patterns, andwherein the second driving patterns are generated after the first driving patterns, and the third driving patterns are generated if the predetermined number of the careless patterns are detected from the second driving patterns.
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Abstract
An apparatus and a method for determining careless driving are provided and determine more reliable careless driving by generating normal driving patterns using driving performance data for a reference time at the beginning of driving. In addition, careless driving patterns greater than a predetermined number are detected using the normal driving pattern and a boundary between the normal driving and the careless driving is determined using a supervised learning method. The careless driving of the driver is then determined based on the determined boundary.
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Citations
17 Claims
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1. An apparatus for determining careless driving, comprising:
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a memory configured to store program instructions; and a processor configured to execute the program instructions, the program instructions when executed configured to; collect driving performance data; generate a plurality of driving patterns using the collected driving performance data; store first driving patterns generated within a reference time at a beginning of driving as normal driving patterns; detect careless driving patterns from second driving patterns, based on the normal driving patterns and store the detected careless driving patterns; decide boundary values between the normal driving patterns and the careless driving patterns using an artificial neural network (ANN) technique; if a predetermined number of the careless patters are detected from the second driving patters, determine whether third driving patterns within a threshold time unit are careless driving patterns, based on the decided boundary values; and if the predetermined number of the careless patterns are not detected from the second driving patterns, determine whether the second driving patterns are normal driving patterns or careless driving patterns based on the normal driving patterns from the first driving patterns, wherein the plurality of driving patterns include the first driving patterns, the second driving patterns, and the third driving patterns, and wherein the second driving patterns are generated after the first driving patterns, and the third driving patterns are generated if the predetermined number of the careless patterns are detected from the second driving patterns. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method for determining careless driving, comprising:
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collecting, by a controller, driving performance data; storing, by the controller, first driving patterns generated within a reference time at a beginning of driving as normal driving patterns; detecting, by the controller careless driving patterns, based on the normal driving patterns, from second driving patterns generated after storing the first driving patterns as the normal driving patterns; determining, by the controller, boundary values between the normal driving patterns and the careless driving patterns using an artificial neural network (ANN) technique; and determining, by the controller, whether third driving patterns within a threshold time unit are careless driving patterns, based on the boundary values if a predetermined numbers of the careless patterns are detected from the second driving patterns, determine whether the second driving patterns are normal driving patterns or careless driving patterns based on the normal driving patterns from the first diving patterns if the predetermined number of the careless patterns are not detected from the second driving patterns, wherein the second driving patterns are generated after the first driving patterns, and the third driving patterns are generated if the predetermined number of the careless patterns are detected from the second driving patterns. - View Dependent Claims (9, 10, 11, 12)
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13. A non-transitory computer readable medium containing program instructions executed by a controller, the computer readable medium comprising:
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program instructions that collect driving performance data; program instructions that store first driving patterns generated within a reference time at a beginning of driving as normal driving patterns; program instructions that detect careless driving patterns, based on the normal driving patterns, from second driving patterns generated after storing the first driving patterns as the normal driving patterns; program instructions that determine boundary values between the normal driving patterns and the careless driving patterns using an artificial neural network (ANN) technique; program instructions that determine whether third driving patterns within a threshold time unit are the careless driving patterns, based on the boundary values if a predetermined number of the careless patterns are detected from the second driving patterns; and program instructions that determine whether the second driving patterns are normal driving patterns or careless driving patterns based on the normal driving patterns from the first driving patters if the predetermined number of the careless patterns are not detected from the second driving patterns, wherein the second driving patterns are generated after the first driving patterns, and the third driving patterns are generated if the predetermined number of the careless patterns are detected from the second driving patterns. - View Dependent Claims (14, 15, 16, 17)
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Specification