State Farm Mutual Automobile Insurance Company

Steve Cielocha

Brian Mark Fields

Steve Roberson

Jibo He

Jufeng James Peng

Bryan Allen Plummer

Parker Andrew Brown

Aaron Scott Chan

Julian Coltea

Scott T Christensen

Gregory L Hayward

Todd Binion

Christopher Edward Gay

An autonomous vehicle (AV) computing device including at least one processor may be provided. The at least processor may be programmed to (i) receive a proposed trip including a destination location and a departure time, (ii) determine environmental conditions data based on the destination location and the departure time, (iii) retrieve current software ecosystem data for the AV, (iv) retrieve aggregated data for a plurality of AVs, the aggregated data including a plurality of correlations, each correlation including a) an interaction between at least one software application and at least one environmental condition and b) an adverse performance outcome associated with the interaction, (v) compare the environmental conditions data for the proposed trip and the current software ecosystem data for the AV to the plurality of correlations to identify an adverse performance outcome, and (vi) execute a remedial action to avoid the adverse performance outcome.

Systems and methods for evaluating autonomous vehicle software interactions for proposed trips

Methods and systems for offering and providing trip-based vehicle insurance are provided. Information is received regarding a vehicle operator and a vehicle, and trip-based insurance policies including quantities of vehicle use units are offered to the customer. Based on selected coverage types, the insurance provider may generate an insurance quote for a policy having an amount of the vehicle use units and may facilitate a purchase transaction with the customer for the insurance policy. Once a policy is selected and purchased, the system and method monitor vehicle use to determine each use of a vehicle use unit. Each vehicle use unit generally corresponds to one vehicle trip, but additional vehicle trip limitations may be added that may result in additional charges when exceeded during the course of a vehicle trip.

Trip-based vehicle insurance

An interaction detection and analysis ('IDA') computing device for analyzing data from a plurality of autonomous vehicles ('AVs') relative to an individual AV that identifies potential performance outcomes and risks based on interactions associated with software onboard the AVs may be provided. The IDA computing device may include at least one processor programmed to (i) receive AV data from the individual AV including a software ecosystem and hardware installed on the individual AV, (ii) store the received AV data in a data record in a database, (iii) compare the software ecosystem and the hardware for the individual AV to data associated with AVs having relatively similar software ecosystems and hardware, (iv) identify at least one known performance outcome and risk based on the data from the AVs having relatively similar software ecosystems and hardware, and (v) alert a user of the individual AV of the identified performance outcome and risk.

Systems and methods for detecting software interactions for individual autonomous vehicles

In a computer-implemented method, data about potential vehicle operator impairment is retrieved. The data is generated by monitoring a vehicle operator, the environment ahead of the vehicle, and/or force in one or more directions. A number of impairment scores are generated by analyzing the data about potential vehicle operator impairment. A specific time period during which the vehicle operator tends to be most impaired is determined based on the impairment scores. Recommendations to reduce operator impairment of the vehicle operator are identified and communicated to the vehicle operator.

System and method for monitoring and reducing vehicle operator impairment

The method, system, and computer-readable medium facilitates monitoring one or more eyes of a vehicle operator during a driving session to generate a plurality of gaze location logs with gaze location values. The gaze location value may be generated by determining a location of the vehicle operator's gaze, determining which area of the vehicle is associated with the gaze location, and assigning the gaze location value based on the area of the vehicle associated with the gaze location. The gaze location logs may be analyzed to determine the duration of the vehicle operator's gaze at each area of the vehicle. Based on the duration of the vehicle operators gaze, one or more recommendations to improve vehicle operator performance may be identified and communicated to the vehicle operator.

Systems and methodologies for real-time driver gaze location determination and analysis utilizing computer vision technology

A method includes receiving data about potential impairment of a vehicle operator, wherein the data about potential impairment is generated by: (i) monitoring the vehicle operator with a first optical sensor, and (ii) monitoring an environment ahead of a vehicle operated by the vehicle operator with a second optical sensor. The computer-implemented method further includes assigning a plurality of scores based on the data about potential impairment, wherein each of the plurality of scores corresponds to a respective impairment indicator, and determining an impairment score for the vehicle operator by performing a mathematical operation on the plurality of scores, the impairment score summarizing a level of impairment of the vehicle operator.

System and method to adjust insurance rate based on real-time data about potential vehicle operator impairment

In a computer-implemented method, data about potential vehicle operator impairment is retrieved. The data is generated by monitoring a vehicle operator, the environment ahead of the vehicle, and/or force in one or more directions. For each of a plurality of trips, an impairment score is generated by analyzing the data about potential vehicle operator impairment, and determining whether the vehicle operator was impaired during the trip by comparing the impairment score to a threshold value. A specific time period during which the vehicle operator tends to be most impaired is determined based on the determinations of whether the vehicle operator was impaired. Recommendations to reduce operator impairment of the vehicle operator are identified and communicated to the vehicle operator.

In a computer-implemented method, data about potential vehicle operator impairment is retrieved. The data is generated by monitoring a vehicle operator with a first sensor, monitoring the environment ahead of the vehicle with a second sensor, and monitoring force in one or more directions with a third sensor. A plurality of scores is assigned. Each of the plurality of scores corresponds to a respective impairment indicator, and wherein each of the plurality of scores is based on the data about potential operator impairment. An impairment score is generated by performing a mathematical operation on the plurality of scores. It is determined whether the vehicle operator is impaired by comparing the impairment score to a threshold value. Recommendations to reduce operator impairment of the vehicle operator are identified by analyzing the data about potential vehicle operator impairment.

The method, system, and computer-readable medium facilitates monitoring one or more eyes of a vehicle operator during a driving session to generate a plurality of gaze location logs with gaze location values and timestamps. The gaze location value may be generated by determining a focal point of the vehicle operator's gaze, determining which of a plurality of areas of the vehicle is associated with the focal point, and assigning the gaze location value based on the area of the vehicle associated with the focal point. The gaze location logs may be analyzed to determine the duration of the vehicle operator's gaze at each area of the vehicle. Based on the duration of the vehicle operators gaze, recommendations to improve vehicle operator performance may be determined and communicated to the vehicle operator.

A method includes receiving data about potential impairment of a vehicle operator, wherein the data about potential impairment is generated by: (i) a first optical sensor monitoring a vehicle operator, and (ii) a second optical sensor monitoring an environment ahead of a vehicle operated by the vehicle operator. The computer-implemented method further includes assigning a plurality of scores based on the data about potential vehicle operator impairment, wherein each of the plurality of scores corresponds to a respective impairment indicator, determining an impairment score by performing a mathematical operation on the plurality of scores, and providing the impairment score to a remote device configured to alert the vehicle operator based on the impairment score.

The method, system, and computer-readable medium facilitates monitoring a vehicle operator, the environment ahead of the vehicle, and/or forces acting on the vehicle during the course of vehicle operation to determine whether the vehicle operator is impaired (e.g., distracted, drowsy, intoxicated), alerting the vehicle operator when impairment is detected, and log data relating to vehicle operator impairment for further analysis. The method, system, and computer-readable medium may monitor the vehicle operator, the environment ahead of the vehicle, and/or forces acting on the vehicle using either or both of optical sensors or accelerometers. In particular, one optical sensor may monitor the vehicle operator to detect eye blinks, head nods, head rotations, and/or gaze fixation. Another optical sensor may monitor the road ahead of the vehicle to detect lane deviation, lane centering, and time to collision. The accelerometers may detect acceleration in the direction of vehicle travel and/or lateral acceleration.

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Bloomington, IL, United States of America

Steve Cielocha