Driver assessment and recommendation system in a vehicle

• US 10,198,772 B2
• Filed: 03/11/2015
• Issued: 02/05/2019
• 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
• Primary Examiner(s): Heinle, Courtney D
• Application Number:
  US14/644,584
• Publication Number:
  US 20160203560A1
• Time in Patent Office: 1,427 Days
• 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 analyzed 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 behavior 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 computer implemented method for assessing a plurality of driving scenarios, 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 a driver assistance technology and one or more on-board diagnostic systems, wherein the driver assistance technology assists the driver, and wherein the one or more on-board diagnostic systems collect information from a plurality of sensors corresponding to a driving behavior of the driver;

identifying, by the processor, one or more capabilities of the vehicle;

identifying, by the processor, a manufacturing year and a manufacturer of the vehicle;

retrieving, by the processor, information corresponding to a health of the one or identified more components;

analyzing, by the processor, information to create the 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 the driver assistance technology in the plurality of driving scenarios, and wherein the second score is calculated based on the driving behavior in the plurality of driving scenarios;

collecting, by the processor, information using the one or more on-board diagnostic systems corresponding to a speed of the vehicle driven by the driver to detect at least one of braking, cornering, acceleration, and jerk, wherein the one or more on-board diagnostic systems comprise at least one of an accelerometer, a gyroscope, an inertial navigation system (INS), a micro-electro mechanical system (MEMS), and a global positioning system;

assisting, by the processor, the driver by activating the driver assistance technology among at least one of an adaptive cruise control, a standard cruise control, an automated braking system, a collision avoidance system, and a driver drowsiness detection system to switch between manual mode and an automatic mode, wherein the adaptive cruise control runs the vehicle using one or more of a plurality of sensors in the automatic mode, the automatic braking system controls the speed of the vehicle using information from the plurality of sensors, and the collision avoidance system diverts the vehicle from colliding with objects;

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, the first score and the second score, wherein the technology priority mode indicates use of the driver assistance technology for running the vehicle in a driving scenario of the plurality of driving scenarios, and wherein the driver priority mode indicates the vehicle driven by the driver in the driving scenario of the plurality of driving scenarios without the usage of the driver assistance technology;

alerting the driver, by the processor, based on detection of at least one of eye movement and a position of the driver to detect drowsiness by the driver drowsiness detection system; and

providing recommendations, by the processor, based on the driver assistance technology and at least one of the plurality of driving scenarios, wherein the recommendations are provided based on aggregation of historical data, the historical data related to maintenance data sources and information from the manufacturer of the vehicle.

2. The method of claim 1, further comprising checking acceptance of the recommendations processed.

3. The method of claim 2, further comprising calculating insurance for the driver based on the assessment and the recommendations provided.

4. The method of claim 3, further comprising providing a discount or a reward to the driver based on the acceptance of the recommendations.

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

6. A computer implemented system for assessing a plurality of driving scenarios, the system comprising:

a memory; and

a processor coupled to the memory, wherein the processor is capable of executing 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 a driver assistance technology and one or more on-board diagnostic systems, wherein the driver assistance technology assists the driver, and wherein the one or more on-board diagnostic systems collect information corresponding to a driving behaviour of the driver;

identify the one or more capabilities of the vehicle;

identify a manufacturing year and a manufacturer of the vehicle;

retrieve information corresponding to a health of the one or more identified components;

analyze 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 the driver assistance technology in the plurality of driving scenarios, and wherein the second score is based on the driving behaviour in the plurality of driving scenarios;

collect, by the processor, information using the one or more on-board diagnostic systems corresponding to a speed of the vehicle driven by the driver to detect at least one of braking, cornering, acceleration, and jerk, wherein the one or more on-board diagnostic systems comprise at least one of an accelerometer, a gyroscope, an inertial navigation system (INS), a micro-electro mechanical system (MEMS), and a global positioning system;

assist, by the processor, the driver by activating the driver assistance technology from among at least one of an adaptive cruise control, a standard cruise control, an automated braking system, a collision avoidance system, and a driver drowsiness detection system to switch between a manual mode and an automatic mode, wherein the adaptive cruise control runs the vehicle using one or more of a plurality of sensors in the automatic mode, the automatic braking system controls the speed of the vehicle using information from the plurality of sensors, and the collision avoidance system diverts the vehicle from colliding with objects;

classify the plurality of driving scenarios into one of a technology priority mode and a driver priority mode based on the analysis, the first score and the second score, wherein the technology priority mode indicates use of the driver assistance technology for running the vehicle in a driving scenario of the plurality of driving scenarios, and wherein the driver priority mode indicates the vehicle driven by the driver in the driving scenario of the plurality of driving scenarios without the usage of the driver assistance technology;

alert the driver, by the processor based on detection of at least one of eye movement and a position of the driver to detect drowsiness by the driver drowsiness detection system; and

provide recommendations, by the processor, based on the driver assistance technology and at least one of the plurality of driving scenarios, wherein the recommendations are provided based on aggregation of historical data, the historical data related to maintenance data sources and information from the manufacturer of the vehicle.