DRIVER ASSESSMENT AND RECOMMENDATION SYSTEM IN A VEHICLE

• US 20160203560A1
• Filed: 03/11/2015
• Published: 07/14/2016
• Est. Priority Date: 01/14/2015
• Status: Active Grant

• Current Assignee: TATA Consultancy Services Limited (Tata Sons Pvt Ltd.)
• Original Assignee: TATA Consultancy Services Limited (Tata Sons Pvt Ltd.)
• Inventors: PARAMESHWARAN, Reni
• Granted Patent: US 10,198,772 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01S 13/02 Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
• CPC Class Codes: G01S 13/931 of land vehicles
• CPC Class Codes: G01S 17/02 Systems using the reflection of electromagnetic waves other than radio waves G01S17/66 takes precedence
• CPC Class Codes: G01S 19/13 Receivers
• CPC Class Codes: G01S 2013/9323 Alternative operation using light waves
• CPC Class Codes: G01S 2013/9324 Alternative operation using ultrasonic waves
• CPC Class Codes: G06Q 30/0218 based on score
• CPC Class Codes: G06Q 40/08 Insurance

Abstract

System and method for assessing liability/accountability of a driver or a driver assistance technology in a vehicle is disclosed. One or more components used to assist a driver and to collect information of the driver and the vehicle is identified. The one or more components comprise driver assistance technologies and on-board diagnostic systems. After identifying, the information is analysed to create a plurality of scenarios based on one or more factors. Subsequently, a first score and a second score is calculated corresponding to activation of each of the driver assistance technologies and the driving behaviour in the plurality of driving scenarios. Subsequently, the plurality of driving scenarios is classified into one of a technology priority mode and a driver priority mode based on the analysis, the first score and the second score. Based on the classification, a liability of the driver/driver assistance technology is assessed and recommendations are processed.

Claims

1. A method for assessing liability of a driver or a driver assistance technology in a vehicle, the method comprising:

identifying, by a processor, one or more components used to assist a driver and to collect information of the driver and the vehicle, wherein the one or more components comprise driver assistance technologies and on-board diagnostic systems, wherein the driver assistance technologies assist the driver, and wherein the on-board diagnostic systems collect the information corresponding to a driving behaviour of the driver;

analyzing, by the processor, the information to create a plurality of driving scenarios, wherein the plurality of scenarios are created based on one or more factors, and wherein the one or more factors comprise a location, a time, and a weather condition;

calculating, by the processor, a first score and a second score for each of the plurality of driving scenarios, wherein the first score is calculated corresponding to activation of each of the driver assistance technologies in the plurality of driving scenarios, and wherein the second score is calculated based on the driving behaviour in the plurality of driving scenarios;

classifying, by the processor, the plurality of driving scenarios into one of a technology priority mode and a driver priority mode based on the analysis based on the first score and the second score, wherein the technology priority mode indicates use of the driver assistance technologies for running the vehicle in the plurality of driving scenarios, and wherein the driver priority mode indicates the vehicle driven by the driver in the plurality of driving scenarios; and

assessing, by the processor, a liability/accountability of the driver or the driver assistance technologies, in an event, based on the classification.

2. The method of claim 1, further comprising assigning a weightage to one or more parameters of the driver assistance technologies.

3. The method of claim 1, wherein the driver assistance technologies comprise at least one of an adaptive cruise control, a standard cruise control, an automated braking system, a collision avoidance system, an electronic stability control, a self-driven technology, and a driver drowsiness detection system.

4. The method of claim 1, wherein the information is collected from a plurality of sensors, wherein the plurality of sensors comprises at least one of an accelerometer, a GPS sensor, an Inertial Navigation System (INS), a LIDAR, a RADAR, an infrared sensor, a camera and a sonar device.

5. The method of claim 1, wherein the on-board diagnostic systems comprise a plurality of sensors, wherein the plurality of sensors include an accelerometer, a gyroscope, an Inertial Navigation System (INS), Micro-Electro-Mechanical Systems (MEMS), and Global Positioning System (GPS).

6. The method of claim 1, further comprising processing recommendations to the driver based on the classification of the plurality of driving scenarios.

7. The method of claim 6, further comprising checking acceptance of the recommendations.

8. The method of claim 7, further comprising calculating insurance for the driver based on the assessment and the recommendations.

9. The method of claim 8, further comprising providing a discount or a reward to the driver based on the acceptance of the recommendations.

10. The method of claim 1, further comprising checking a status of the one or more components.

11. A system for assessing liability of a driver or a driver assistance technology in a vehicle, the system comprising:

a memory; and

a processor coupled to the memory, wherein the processor executes program instructions stored in the memory to;

identify one or more components used to assist a driver and to collect information of the driver and the vehicle, wherein the one or more components comprise driver assistance technologies and on-board diagnostic systems, wherein the driver assistance technologies assist the driver, and wherein the on-board diagnostic systems collect the information corresponding to a driving behaviour of the driver;

analyze the information to create a plurality of driving scenarios, wherein the plurality of scenarios are created based on one or more factors, and wherein the one or more factors comprise a location, a time, and a weather condition;

calculate a first score and a second score for each of the plurality of driving scenarios, wherein the first score is calculated corresponding to activation of each of the driver assistance technologies in the plurality of driving scenarios, and wherein the;

second score based on the driving behaviour in the plurality of driving scenarios;

classify the plurality of driving scenarios into one of a technology priority mode and a driver priority mode based on the analysis based on the first score and the second score, wherein the technology priority mode indicates use of the driver assistance technologies for running the vehicle in the plurality of driving scenarios, and wherein the driver priority mode indicates the vehicle driven by the driver in the plurality of driving scenarios; and

assess a liability/accountability of the driver or the driver assistance technologies, in an event, based on the classification.

12. The system of claim 11, wherein the processor further executes the program instructions to assign a weightage to each of the one or more parameters of the driver assistance technologies.

13. The system of claim 11, wherein the driver assistance technologies comprise at least one of an adaptive cruise control, a standard cruise control, an automated braking system, a collision avoidance system, a self-driven technology, and a driver drowsiness detection system.

14. The system of claim 11, wherein the information is collected from a plurality of sensors, wherein the plurality of sensors comprise at least one of an accelerometer, a GPS sensor, an Inertial Navigation System (INS), a LIDAR, a RADAR, an infrared sensor, a camera and a sonar device.

15. The system of claim 11, wherein the on-board diagnostic systems comprises a plurality of sensors, wherein the plurality of sensors include an accelerometer, a gyroscope, Inertial Navigation System (INS), Micro-Electro-Mechanical Systems (MEMS), and Global Positioning System (GPS).

16. The system of claim 11, wherein the processor further executes the program instructions to process recommendations to the driver based on the classification of the plurality of driving scenarios.

17. The system of claim 16, wherein the processor further executes the program instructions to check acceptance of the recommendations.

18. The system of claim 17, wherein the processor further executes the program instructions to calculate insurance based on the assessment and the recommendations.

19. The system of claim 17, wherein the processor further executes the program instructions to provide a discount to the driver based on the acceptance of the recommendations.

20. The system of claim 11, wherein the processor further executes the program instructions to check a status of the one or more components.

21. A non-transitory computer readable medium embodying a program executable in a computing device for assessing liability of a driver or a driver assistance technology in a vehicle, the program comprising:

a program code for identifying one or more components used to assist a driver and to collect information of the driver and the vehicle, wherein the one or more components comprises driver assistance technologies and on-board diagnostic systems, wherein the driver assistance technologies assist the driver, and wherein the on-board diagnostic systems collect the information corresponding to a driving behaviour of the driver;

a program code for analyzing the information to create a plurality of driving scenarios, wherein the plurality of scenarios is created based on one or more factors, and wherein the one or more factors comprise a location, a time, and a weather condition;

a program code for calculating a first score and a second score for each of the plurality of driving scenarios, wherein the first score is calculated corresponding to each of the driver assistance technologies in the plurality of driving scenarios, and wherein the second score based on the driving behaviour in the plurality of driving scenarios;

a program code for classifying the plurality of driving scenarios into one of a technology priority mode and a driver priority mode based on the analysis based on the first score and the second score, wherein the technology priority mode indicates use of the driver assistance technologies for running the vehicle in the plurality of driving scenarios, and wherein the driver priority mode indicates the vehicle driven by the driver in the plurality of driving scenarios; and

a program code for assessing a liability/accountability of the driver or the driver assistance technologies, in an event, based on the classification.