Allstate Insurance Company

The Morey Corporation

Other

Emad S Isaac

Tao Chen

Manjunath Rao

Stephen Robert Newell

Rodolfo Roberto Ballesteros

Umamaheshwar R Uppada

Chad W Bohlmann

Daniel A Sanchez

Jeff A Champa

Nathan Link

Michael E Podgorny

David Tibbetts

Brad Hanson

Ryan Satterlee

Systems, methods, and apparatuses in accordance with embodiments of the invention can use a variety of computing devices to interact with and/or control a secure enclosure for a key fob. The secure enclosure may enclose the key fob, and includes a computing device, a locking mechanism, and at least one actuator. An actuator may control the locking mechanism. The actuator, when activated, may exert a force on a key fob secured within the secure enclosure, which may cause one of the buttons of the key fob to be depressed. The computing device controls the activation of the actuators. The computing device may have wireless communication capability that allows a user to wirelessly control the actuators of the computing device, for example, to lock or unlock the enclosure, or to depress a button of the key fob secured within the enclosure.

Remotely accessible secure enclosure

Systems and methods in accordance with embodiments of the invention can proactively determine if an individual is likely in need of roadside assistance. Information can be collected from the individual's phone, including the person's location, the type of road, ambient noise, and/or motion of nearby objects. If it is determined that the individual likely needs roadside assistance, the system can proactively contact the individual to see if roadside assistance is desired, and if so, initiates roadside assistance. The system also can provide helpful information, such as safety information, and/or automatically contact other individuals to alert them of the roadside event and the location of the individual.

Systems and methods for automatic breakdown detection and roadside assistance

Aspects of the disclosure relate to computing platforms that utilize improved machine learning techniques to identify vehicle problems and control ancillary computing systems. A computing platform may receive vibration data corresponding to a vehicle component. Using one or more machine learning models and based on the vibration data, the computing platform may identify a vehicle problem corresponding to the vibration data. After identifying the vehicle problem, the computing platform may transmit one or more commands directing the autonomous vehicle control system to autonomously navigate a vehicle to a service facility, where transmitting the one or more commands directing the autonomous vehicle control system to autonomously navigate the vehicle to the service facility causes the autonomous vehicle control system to autonomously navigate the vehicle to the service facility.

Kinetic insights machine

Aspects of the disclosure relate to computing platforms that utilize improved techniques for dynamic event verification and sensor selection. A computing platform may determine accuracy for each of a plurality of sensor devices for each of a plurality of data types. For each of the data types, the computing platform may rank the plurality of sensor devices based on their corresponding accuracy. The computing platform may direct a first sensor device and a second sensor device to provide first and second source data respectively. These sensor devices may be the most accurate sources of data types corresponding to the first and second source data respectively. The computing platform may receive the first source data and the second source data. Based on the first source data and the second source data, the computing platform may generate an event output indicating whether a vehicle experienced an event.

Processing system for dynamic collision verification and sensor selection

Methods, computer-readable media, software, and apparatuses include receiving sensor data from a sensor system associated with a vehicle during operation of the vehicle over a plurality of modes of operation, computing, based on the sensor data, a vehicle fingerprint comprising one or more vehicle characteristics over the plurality of modes of operation, monitoring additional received sensor data from the sensor system during further operation of the vehicle, determining whether an anomaly exists based on comparing the additional received sensor data to the vehicle fingerprint, and based upon determining that an anomaly exists, providing an alert to a communication interface associated with the vehicle.

Unauthorized access detection

Methods and systems for tracking driver behavior across a variety of vehicles are described herein. One or more first performance metrics which indicate performance of a first vehicle when driven by a user may be determined. One or more second performance metrics indicating performance of a second vehicle when driven by the user may be determined. The first vehicle and the second vehicle may be compared to determine a vehicle difference. The performance metrics may be compared. One or more third performance metrics that predict performance of a third vehicle, different from the first vehicle and the second vehicle, when driven by the user may be determined based on the vehicle difference and the comparison. Whether to provide the user access to the third vehicle may be determined based on the one or more third performance metrics.

Driver behavior tracking and prediction

Methods, computer-readable media, software, and apparatuses may collect, in real-time and via an edge-computing device located in a vehicle, vehicle driving event data including data indicative of driving characteristics associated with an operation of the vehicle. The edge-computing device may analyze, based on a machine learning model, characteristics of the vehicle driving event data. The edge-computing device may, based on the machine learning model, determine at least one of: a driving behavior, a driver rating, occurrence of a collision, and vehicle diagnostics, and the information may be displayed via a graphical user interface to a user in the vehicle.

Determining driver and vehicle characteristics based on an edge-computer device

Aspects of the disclosure relate to using ultrasonic or other types of signals to detect a driver in a vehicle. A computing platform may receive ultrasonic sensing data associated with mobile devices in the vehicle from a signal transmitter. Unique identifiers of the mobile devices may be determined. Based on the ultrasonic sensing data and the unique identifier, a relative distance from the signal transmitter to each mobile device in the vehicle may be determined. The computing platform may use a machine learning classifier to determine that a particular occupant is a driver in the vehicle based on the relative distance.

Driver passenger detection using ultrasonic sensing

Methods and systems for autonomous driving algorithm evaluation are described herein. A computing device may receive, via telematics sensors associated with a vehicle, telematics data corresponding to one or more trips taken by the vehicle during a period of time. Portions of the telematics data corresponding to use of an autonomous driving algorithm may be determined. One or more performance metrics of the autonomous driving algorithm may be determined based on the portions of the telematics data corresponding to use of the autonomous driving algorithm. The one or more performance metrics may be compared to one or more other performance metrics, such as those corresponding to other autonomous driving algorithms. An autonomous vehicle score may be assigned to the autonomous driving algorithm. Based on the autonomous vehicle score, an indication of a second autonomous driving algorithm may be sent to the vehicle.

Autonomous driving algorithm evaluation and implementation

Aspects described herein may allow for a plug-in device including a base having a plurality of apertures extending therethrough. A first PCB has a first surface defining a first plane, and a plurality of pins connected to and extending outwardly from the first surface, with each pin being received in one of the apertures of the base. A bracket secures the first PCB to the base. A second PCB is secured to the bracket, extending outwardly from the first PCB and defining a second plane, with the second plane being at an acute angle with respect to the first plane. An antenna housing is secured to the bracket and the second PCB and includes at least a first antenna. A cover is releasably secured to the base.

Plug-in device

Aspects of the disclosure relate to computing platforms that utilize improved techniques for dynamic event verification. A computing platform may receive first source data comprising driving data associated with a vehicle over a time period. Based on the first source data, the computing device may determine that the vehicle experienced an event, resulting in an event output. In response to determining the event output, the computing device may generate a request for second source data associated with the vehicle over the time period. The computing device may receive, from a sensor device, the second source data. Based on a comparison of the first source data to the second source data, the computing platform may determine an event comparison output. The computing platform may determine that the event comparison output exceeds a predetermined comparison threshold, and may send an indication of an event in response.

Processing system for dynamic event verification and sensor selection

Aspects of the disclosure relate to detecting crosswalk using high-frequency transmitters. A mobile device may receive an ultrasonic signal indicating a location of the crosswalk from a signal transmitter. The mobile device may monitor a distance to the crosswalk based on the ultrasonic signal. The mobile device may generate an alert that the user is proximately located to the crosswalk after the user is in a predetermined vicinity of the crosswalk. The mobile device may update the alert to indicate a traffic pattern after the user has entered the crosswalk.

Growing community of inventors

Downers Grove, IL, United States of America

Emad S Isaac