Method, system and vehicle for analyzing a rider performance

• US 10,421,464 B2
• Filed: 02/23/2017
• Issued: 09/24/2019
• Est. Priority Date: 03/14/2016
• Status: Active Grant

• Current Assignee: Honda Research Institute Europe GmbH (Honda Motor Company)
• Original Assignee: Honda Research Institute Europe GmbH (Honda Motor Company)
• Inventors: Heckmann, Martin, Janssen, Herbert, Magiera, Nils, Winner, Hermann
• Primary Examiner(s): Black, Thomas G
• Assistant Examiner(s): Huynh, Luat T
• Application Number:
  US15/440,238
• Publication Number:
  US 20170259829A1
• Time in Patent Office: 943 Days
• Field of Search: 701 1
• CPC Class Codes: B60W 2050/146 Display means
• CPC Class Codes: B60W 2300/36 Cycles; Motorcycles; Scooters
• CPC Class Codes: B60W 2520/10 Longitudinal speed
• CPC Class Codes: B60W 2520/14 Yaw
• CPC Class Codes: B60W 2520/18 Roll
• CPC Class Codes: B60W 2552/00 Input parameters relating to infrastructure
• CPC Class Codes: B60W 2554/00 Input parameters relating to objects
• CPC Class Codes: B60W 2556/50 of positioning data, e.g. GPS [Global Positioning System] data
• CPC Class Codes: B60W 2756/10 Involving external transmission of data to or from the vehicle
• CPC Class Codes: B60W 30/18145 Cornering
• CPC Class Codes: B60W 40/09 Driving style or behaviour
• CPC Class Codes: B60W 50/14 Means for informing the driver, warning the driver or prompting a driver intervention
• CPC Class Codes: B62H 7/00 Devices for learning to ride cycles, not otherwise provided for, e.g. assisting balance
• CPC Class Codes: B62J 45/4151 for sensing lateral inclination of the cycle
• CPC Class Codes: B62J 50/22 electronic, e.g. displays
• CPC Class Codes: G07C 5/0808 Diagnosing performance data testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005
• CPC Class Codes: G07C 5/085 using electronic data carriers

Abstract

The invention regards a method, a system and a vehicle for analyzing a rider performance. The vehicle is any vehicle that employs a roll angle change for changing its driving direction. Firstly, physical motion parameters of the vehicle in motion are sensed and the measured data is supplied to computing unit. In the computing unit, segments in a time series of measured data are determined by processing the measured data in the computing unit. Each segment corresponds to a rider control behavior and the plurality of such consecutive rider control behavior build a riding maneuver. In the computing unit, the measured data within one segment for at least one of the segments is analyzed by computing at least one characteristic value for the respective segment and/or the sequence of determined segments is analyzed. Finally, an analysis result indicating the rider performance or rider skills is output.

Claims

1. Method for analyzing rider performance of riding a vehicle that employs a roll angle change for changing its driving direction, the method comprising:

measuring physical motion parameters including a roll angle and/or roll angle change of the vehicle in motion by sensing means and generating measured data of the measured physical motion parameters,

supplying the measured data to a computation unit,

determining segments in a time series of measured data by processing the measured data in the computation unit, wherein each segment corresponds to a rider control behavior and a plurality of consecutive rider control behaviors build a riding maneuver,

analyzing in the computing unit the measured data within one segment for at least one of the segments by computing at least one quality value for the respective segment, or analyzing a quality value of the sequence of determined segments, and

outputting an analysis result based on the quality value, and wherein

the analysis result is displayed on a vehicle mounted display and/or transferred to a remote display, preferably immediately after finishing the analysis computation.

2. Method according to claim 1, wherein

the time series of measured data is further segmented according to riding maneuvers and at least one such segment is subdivided into the segments corresponding to respective rider control behaviors.

3. Method according to claim 1, wherein

the analysis is performed by computing a quality value based on a deviation of the measured data of a segment from a corresponding rider control model or computing a deviation of a sequence of segments belonging to one riding maneuver from a model sequence for such riding maneuver.

4. Method according to claim 3, wherein

the analysis result is displayed in an overlaid manner onto a map of the riding course or a video of the ride.

5. Method according to claim 1, wherein

a summary statistic for the analysis result, location of occurrence of the behavior or frequency of the behavior is generated.

6. Method according to claim 1, wherein

a summary score for at least one riding behavior or riding maneuver is generated.

7. Method according to claim 1, wherein

in the analysis of the measured data environmental influences are taken into consideration.

8. Method according claim 7, wherein

environmental influences are determined on the basis of information from one or a plurality of at least one environment observation sensor, information obtaining unit and vehicle system sensor.

9. Method according to claim 1, wherein

segmentation is performed on the basis of a comparison of measured data with prototypical trajectories.

10. Method according to claim 1, wherein

segmentation is performed on the basis of a probabilistic graphical model or a Hidden Markov Model.

11. Method according to claim 1, wherein

the analysis result is supplied to an advanced rider assistance system and the advanced rider assistance systems adjusts at least one of its parameters on the basis of the analysis result.

12. System for analyzing rider performance, the system comprising sensing means for sensing physical motion parameters including a roll angle and/or roll angle change of a vehicle in motion and a computing unit configured to perform the method steps of claim 1.

13. Vehicle including the system of claim 12.

14. Vehicle according to claim 13,

further comprising an advanced rider assistance system configured to adjust at least one parameter on the basis of an output of the system for analyzing a rider performance.