Systems and methods for visualizing predicted driving risk
Systems and methods of visualizing predicted driving risk are provided herein. Vehicle sensor data associated with a vehicle operator may be analyzed. Based on the analysis of the vehicle sensor data, one or more vehicle operation risks associated with the vehicle operator may be predicted. Each vehicle operation risk may be associated with a portion of a vehicle associated with the vehicle operator. Additionally, each vehicle operation risk may be assigned a priority level, e.g., based on predicted likelihood of occurrence, predicted danger to the vehicle operator, predicted damage to the vehicle, etc. A display overview of the vehicle may be presented to the vehicle operator. In the display overview of the vehicle portions of the vehicle associated with each of the predicted vehicle operation risks may be highlighted. The portions may be highlighted differently (using different colors, heavier/lighter shading, etc.) based on the priority level of their associated risks.
1. A computer-implemented method for visualizing driving risks, the method comprising:
analyzing, by one or more processors, sensor data from a vehicle to determine one or more driving behaviors of a vehicle operator;
determining, by one or more processors, a plurality of vehicle operation risks based upon the one or more driving behaviors of the vehicle operator, each risk of the plurality of vehicle operation risks being associated with a risk of damage to a particular portion of the vehicle;
presenting, by one or more processors, a first graphical representation of the vehicle to the vehicle operator; and
highlighting, by one or more processors, in the first graphical representation of the vehicle, vehicle parts on the vehicle corresponding to the particular portion of the vehicle associated with each risk of the plurality of vehicle operation risks.
2. The computer-implemented method of claim 1 , wherein the sensor data include one or more of: speed data, acceleration data, braking data, cornering data, object range distance data, turn signal data, seatbelt use data, location data, phone use data, weather data, and/or road type data.
3. The computer-implemented method of claim 1 , wherein each risk of the plurality of vehicle operation risks is assigned a priority level based upon one or more of: (i) predicted likelihood of occurrence; (ii) predicted danger to the vehicle operator; and/or (iii) predicted damage to the vehicle.
4. The computer-implemented method of claim 3 , wherein highlighting the particular portion of the vehicle associated with each risk of the plurality of vehicle operation risks further comprises:
highlighting each portion of the vehicle differently based upon the priority level of each risk of the plurality of vehicle operation risks.
5. The computer-implemented method of claim 4 , wherein highlighting each portion of the vehicle differently based upon the priority level of each risk of the plurality of vehicle operation risks further comprises:
highlighting portions of the vehicle associated with higher priority risks in a first color; and
highlighting portions of the vehicle associated with lower priority risks in a second color.
6. The computer-implemented method of claim 1 , further comprising:
identifying, by one or more processors, one or more steps for reducing the plurality of vehicle operation risks; and
presenting, by one or more processors, a vehicle operation guidance based upon the one or more steps for reducing the plurality of vehicle operation risks.
7. The computer-implemented method of claim 6 , further comprising:
presenting, by one or more processors, a second graphical representation of the vehicle to the vehicle operator; and
highlighting, by one or more processors, in the second graphical representation of the vehicle, the vehicle parts on the vehicle corresponding to portions of the vehicle associated with the plurality of vehicle operation risks to be reduced based upon the vehicle operation guidance.
8. A system for visualizing driving risks, the system comprising:
one or more processors; and
one or more memories storing instructions that, when executed by the one or more processors, cause the one or more processors to:
analyze sensor data from a vehicle to determine one or more driving behaviors of a vehicle operator;
determine a plurality of vehicle operation risks based upon the one or more driving behaviors of the vehicle operator, each risk of the plurality of vehicle operations risks being associated with a risk of damage to a particular portion of the vehicle;
present a first graphical representation of the vehicle to the vehicle operator; and
highlight, in the first graphical representation of the vehicle, vehicle parts on the vehicle corresponding to the particular portion of the vehicle associated with each risk of the plurality of vehicle operation risks.
9. The system of claim 8 , wherein the sensor data include one or more of: speed data, acceleration data, braking data, cornering data, object range distance data, turn signal data, seatbelt use data, location data, phone use data, weather data, and/or road type data.
10. The system of claim 8 , wherein each risk of the plurality of vehicle operation risks is assigned a priority level based upon one or more of: (i) predicted likelihood of occurrence; (ii) predicted danger to the vehicle operator; and/or (iii) predicted damage to the vehicle.
11. The system of claim 10 , wherein the instructions that cause the one or more processors to highlight the particular portion of the vehicle associated with each risk of the plurality of vehicle operation risks further cause the one or more processors to:
highlight each portion of the vehicle differently based upon the priority level of each risk of the plurality of vehicle operation risks.
12. The system of claim 11 , wherein the instructions that cause the one or more processors to highlight each portion of the vehicle differently based upon the priority level of each risk of the plurality of vehicle operation risks further cause the one or more processors to:
highlight portions of the vehicle associated with higher priority risks in a first color; and
highlight portions of the vehicle associated with lower priority risks in a second color.
13. The system of claim 8 , wherein the instructions, when executed by the one or more processors, further cause the one or more processors to:
identify one or more steps for reducing the plurality of vehicle operation risks; and
present, a vehicle operation guidance based upon the one or more steps for reducing the plurality of vehicle operation risks.
14. The system of claim 13 , wherein the instructions, when executed by the one or more processors, further cause the one or more processors to:
present, a second graphical presentation of the vehicle to the vehicle operator; and
highlight, in the second graphical presentation of the vehicle, the vehicle parts on the vehicle corresponding to portions of the vehicle associated with the plurality of vehicle operation risks to be reduced based upon the vehicle operation guidance.
15. A non-transitory computer-readable storage medium having stored thereon a set of instructions for visualizing driving risks, executable by a processor, the set of instructions comprising instructions for:
analyzing sensor data from a vehicle to determine one or more driving behaviors of a vehicle operator;
determining a plurality of vehicle operation risks based upon the one or more driving behaviors of the vehicle operator, each risk of the plurality of vehicle operation risks being associated with a risk of damage to a particular portion of the vehicle;
presenting a first graphical representation of the vehicle to the vehicle operator; and
highlighting, in the first graphical representation of the vehicle, vehicle parts on the vehicle corresponding to the particular portion of the vehicle associated with each risk of the plurality of vehicle operation risks.
16. The non-transitory computer-readable storage medium of claim 15 , wherein each risk of the plurality of vehicle operation risks is assigned a priority level based upon one or more of: (i) predicted likelihood of occurrence; (ii) predicted danger to the vehicle operator; and/or (iii) predicted damage to the vehicle.
17. The non-transitory computer-readable storage medium of claim 16 , wherein the instructions for highlighting the particular portion of the vehicle associated with each risk of the plurality of vehicle operation risks further comprise instructions for:
highlighting each portion of the vehicle differently based upon the priority level of each risk of the plurality of vehicle operation risks.
18. The non-transitory computer-readable storage medium of claim 17 , wherein the instructions for highlighting each portion of the vehicle differently based upon the priority level of each risk of the plurality of vehicle operation risks further comprise instructions for:
highlighting portions of the vehicle associated with higher priority risks in a first color; and
highlighting portions of the vehicle associated with lower priority risks in a second color.
19. The non-transitory computer-readable storage medium of claim 15 , further comprising instructions for:
identifying one or steps for reducing the plurality of vehicle operation risks; and
presenting a vehicle operation guidance based upon the one or more steps for reducing the plurality of vehicle operation risks.
20. The non-transitory computer-readable storage medium of claim 19 , further comprising instructions for:
presenting a second graphical presentation of the vehicle to the vehicle operator; and
highlighting, in the second graphical representation of the vehicle, the vehicle parts on the vehicle corresponding to portions of the vehicle associated with the plurality of vehicle operation risks to be reduced based upon the vehicle operation guidance.