DRIVING ASSESSMENT AND TRAINING METHOD AND APPARATUS
First Claim
1. A process for using a computer to compare a driver or pilot under test'"'"'s performance against norms of a standard, comprising:
- A) using a computer to calculate a Mean or average and a Standard Deviation for each or selected ones of a plurality of Parameters at each or selected ones of a plurality of sample points along a fixed assessment course path through a fictional small town or airspace, said fixed assessment course displayed to and driven or flown along by one or more Normative Drivers or one or more Normative Pilots, said Parameters defining how a Normative Driver or Normative Pilot is controlling his or her vehicle while driving or flying along said path and how the vehicle is responding in response to these control inputs; and
B) using a computer to record the Parameters of a Driver Under Test or Pilot Under Test as he or she drives or flies a simulated vehicle along said path through said fictional small town or airspace, said driving or flying a simulated vehicle along said path being called a scenario.C) calculating and recording the variances of at least some of said Parameters of said Driver Under Test or Pilot Under Test from the Mean values of said at least some of said Parameters calculated from said drives or flights of said Normative Drivers or Normative Pilots.
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Accused Products
Abstract
A system for driver assessment and training comprising a simulator which can be operated by a driver or pilot under test or in training, the simulator displaying scenarios the driver or pilot must drive through or fly through. The inputs of the driver or pilot in reaction to the displayed scenario are fed to a free body model which calculates the resulting movement of the simulated vehicle in the displayed world. Scoring can be by analysis of calculated Fonda curves comparing the driver performance to performances by one or more normative drivers plotted by standard deviation from norm on the vertical axis and sample point on the horizontal axis. Simulator sickness can be mitigated by calculation and display of a mitigation object which partially obscures the virtual scene being displayed. Signature curves give the driver or pilots'"'"' performance at a glance.
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Citations
28 Claims
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1. A process for using a computer to compare a driver or pilot under test'"'"'s performance against norms of a standard, comprising:
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A) using a computer to calculate a Mean or average and a Standard Deviation for each or selected ones of a plurality of Parameters at each or selected ones of a plurality of sample points along a fixed assessment course path through a fictional small town or airspace, said fixed assessment course displayed to and driven or flown along by one or more Normative Drivers or one or more Normative Pilots, said Parameters defining how a Normative Driver or Normative Pilot is controlling his or her vehicle while driving or flying along said path and how the vehicle is responding in response to these control inputs; and B) using a computer to record the Parameters of a Driver Under Test or Pilot Under Test as he or she drives or flies a simulated vehicle along said path through said fictional small town or airspace, said driving or flying a simulated vehicle along said path being called a scenario. C) calculating and recording the variances of at least some of said Parameters of said Driver Under Test or Pilot Under Test from the Mean values of said at least some of said Parameters calculated from said drives or flights of said Normative Drivers or Normative Pilots. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A process for using a computer to compare a driver or pilot under test'"'"'s performance against norms of a standard, comprising:
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A) using a computer to calculate a Mean or average and a Standard Deviation for each or selected ones of of a plurality of Parameters at each or selected ones of a plurality of sample points along a path through a simulated small town displayed to and driven along by one or more Normative Drivers, said path being entirely on a fixed assessment course in said small town, said Parameters defining how a Normative Driver is controlling his or her vehicle while driving along said path and how the vehicle is responding in response to these control inputs and recording said Means and Standard Deviations in an NPD file; B) determining the type of road segment each said sample point on said path driven by said one or more Normative Drivers is in and storing said road segment information in said NPD file for each said sample point; C) using a computer to record the Parameters of a Driver Under Test as he or she drives a simulated vehicle along a second path through said simulated small town which is at least partially off said fixed assessment course; D) determining the type of road segment each said sample point on said second path driven by said Driver Under Test is in; E) for each type of road segment upon which said Driver Under Test drove while driving said second path, extracting the Means and Standard Deviations from said NPD file for at least some of said sample points along the same type of road segment on said fixed assessment course and averaging those Means and Standard Deviations, and repeating the process for each type of road segment driven by said Driver Under Test so as to derive a Normative Reference Normal or Normative Sample Point for each type of road segment driven by said Driver Under Test while driving said second path; F) for each type of road segment driven by said Driver Under Test which is off said fixed assessment course and on said second path, establishing a plurality of sample points and replicating said Normative Reference Normal at each said sample point, and storing the resulting replicated Normative Reference Normals in a HOPE NPD file. G) using Means and Standard Deviations from said HOPE NPD file for sample points along road segments driven by said Driver Under Test which are off said fixed assessment course and recorded Parameter data for said Driver Under Test'"'"'s drive on road segments off said fixed assessment course to calculate variances. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19)
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20. A process for using a computer to compare a driver or pilot under test'"'"'s performance against norms of a standard, comprising:
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A) using a computer to calculate a Mean or average and a Standard Deviation for each or selected ones of of a plurality of Parameters at each or selected ones of a plurality of sample points along a path called a fixed assessment course in a fictional small town, said path being driven along by one or more Normative Drivers driving a simulator which displays said path to said Normative Drivers, said Parameters defining how a Normative Driver is controlling his or her vehicle while driving along said fixed assessment course and how the vehicle is responding in response to these control inputs and recording said Means and Standard Deviations in an NPD file; B) determining the type of road segment each said sample point on said path driven by said one or more Normative Drivers is in and storing said road segment information in said NPD file for each said sample point; C) using a computer to record the Parameters of a Driver Under Test as he or she drives a simulated vehicle along a second path anywhere in the world which is completely off said fixed assessment course; D) determining the type of road segment in which each said sample point on said second path driven by said Driver Under Test resides; E) for each type of road segment upon which said Driver Under Test drove while driving said second path, extracting the Means and Standard Deviations from said NPD file for at least some of said sample points along the same type of road segment on said fixed assessment course and averaging those Means and Standard Deviations, and repeating the process for each type of road segment driven by said Driver Under Test while driving said second path so as to derive a Normative Reference Normal or Normative Sample Point for each type of road segment driven by said Driver Under Test while driving said second path; F) for each type of road segment driven by said Driver Under Test while driving said second path, establishing a plurality of sample points and replicating said Normative Reference Normal at each said sample point, and storing the resulting replicated Normative Reference Normals in a HOPE NPD file. G) using Means and Standard Deviations from said HOPE NPD file for sample points along road segments driven by said Driver Under Test while driving said second path and recorded Parameter data for said Driver Under Test'"'"'s drive on road segments on said second path to calculate variances. - View Dependent Claims (21, 22, 23, 24, 25, 26, 27, 28)
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Specification