Abstract: Using a combination of image recognition, deep learning, and expert rules, disclosed systems and methods automatically identify, assess and estimate damage to vehicles based on input vehicle images. Analysis includes determinations as to type of damage, extent of damage and absolute size of damage. Disclosed embodiments include techniques of homography, allometry and semantic segmentation combined with more conventional object recognition technologies such as R-CNN in order to provide greater precision, more detailed analysis at lower computational cost.

Abstract: A system and method which uses pattern recognition in assessing or monitoring a vehicle status and/or an operator’s driving behavior. A vehicle, for use by an operator or driver, can be equipped with a data collection and assessment system. The system can comprise one or more data collection devices, e.g., accelerometers, which can be used to capture data and information, or otherwise measure vehicle actions. A pattern recognition module is configured with one or more defined operating patterns, each of which operating patterns reflects either a known change in vehicle status corresponding to, e.g., when a passenger has embarked or disembarked the vehicle, or a known vehicle operating or driving behavior. Information collected as events describing a current vehicle status or a current driving behavior can be compared with the known operating patterns.

Abstract: Described herein is a system and method for predicting when repair and maintenance needs to be performed on a vehicle. The estimates can be based on one or more of in-vehicle sensor measurements during vehicle usage, external observations such as weather and traffic and road conditions and manually or digitally input maintenance and service reports. The gathered information is compared to information in a database from historical maintenance and service and the resulting damage and costs for those. The information is classified by the type of vehicle and the age and usage of the vehicle. Maintaining and refreshing the information and predictive models in the system is also part of the invention.

Abstract: A system and method for use of carbon emissions in characterizing driver performance and using such characterization to determine a profile/score associated with a particular insured. The profile/score can then be used to determine an insurance premium for the insured. In accordance with an embodiment, a driver can use a portable device equipped with a data collection and assessment environment, including one or more data collection devices that can be used to capture data and information or otherwise measure the carbon emissions associated with a vehicle. A framework (system) can receive information about the driver's driving profile, and use this information either to determine an insurance quote, or act as a broker/aggregator in inviting other insurance providers to offer an insurance quote, or usage based insurance quote (UBI).

Abstract: A system to monitor vehicle accidents using a network of aerial based monitoring systems. terrestrial based monitoring systems and in-vehicle monitoring systems is described, Aerial vehicles used for this surveillance include manned and unmanned aircraft, satellites and lighter than air craft. Aerial vehicles can also be deployed from vehicles. The deployment is triggered by sensors registering a pattern in the data that is indicative of an accident that has happened or an accident about to happen.

Abstract: A system to monitor vehicle accidents using a network of aerial based monitoring systems, terrestrial based monitoring systems and in-vehicle monitoring systems is described. Aerial vehicles used for this surveillance include manned and unmanned aircraft, satellites and lighter than air craft. Aerial vehicles can also be deployed from vehicles. The deployment is triggered by sensors registering a pattern in the data that is indicative of an accident that has happened or an accident about to happen.

Abstract: A system and method which uses pattern recognition in assessing or monitoring a vehicle status and/or an operator's driving behavior. A vehicle, for use by an operator or driver, can be equipped with a data collection and assessment system. The system can comprise one or more data collection devices, e.g., accelerometers, which can be used to capture data and information, or otherwise measure vehicle actions. A pattern recognition module is configured with one or more defined operating patterns, each of which operating patterns reflects either a known change in vehicle status corresponding to, e.g., when a passenger has embarked or disembarked the vehicle, or a known vehicle operating or driving behavior. Information collected as events describing a current vehicle status or a current driving behavior can be compared with the known operating patterns.

Abstract: A system and method which uses pattern recognition in assessing or monitoring a vehicle status and/or an operator's driving behavior. A vehicle, for use by an operator or driver, can be equipped with a data collection and assessment system. The system can comprise one or more data collection devices, e.g., accelerometers, which can be used to capture data and information, or otherwise measure vehicle actions. A pattern recognition module is configured with one or more defined operating patterns, each of which operating patterns reflects either a known change in vehicle status corresponding to, e.g., when a passenger has embarked or disembarked the vehicle, or a known vehicle operating or driving behavior. Information collected as events describing a current vehicle status or a current driving behavior can be compared with the known operating patterns.

Abstract: A system and method for use of carbon emissions in characterizing driver performance and using such characterization to determine a profile/score associated with a particular insured. The profile/score can then be used to determine an insurance premium for the insured. In accordance with an embodiment, a driver can use a portable device equipped with a data collection and assessment environment, including one or more data collection devices that can be used to capture data and information or otherwise measure the carbon emissions associated with a vehicle. A framework (system) can receive information about the driver's driving profile, and use this information either to determine an insurance quote, or act as a broker/aggregator in inviting other insurance providers to offer an insurance quote, or usage based insurance quote (UBI).

Abstract: A system to monitor vehicle accidents using a network of aerial based monitoring systems, terrestrial based monitoring systems and in-vehicle monitoring systems is described. Aerial vehicles used for this surveillance include manned and unmanned aircraft, satellites and lighter than air craft. Aerial vehicles can also be deployed from vehicles. The deployment is triggered by sensors registering a pattern in the data that is indicative of an accident that has happened or an accident about to happen.

Abstract: A system and method for use of carbon emissions in characterizing driver performance and using such characterization to determine a profile/score associated with a particular insured. The profile/score can then be used to determine an insurance premium for the insured. In accordance with an embodiment, a driver can use a portable device equipped with a data collection and assessment environment, including one or more data collection devices that can be used to capture data and information or otherwise measure the carbon emissions associated with a vehicle. A framework (system) can receive information about the driver's driving profile, and use this information either to determine an insurance quote, or act as a broker/aggregator in inviting other insurance providers to offer an insurance quote, or usage based insurance quote (UBI).

Abstract: A system to monitor vehicle accidents using a network of aerial based monitoring systems, terrestrial based monitoring systems and in-vehicle monitoring systems is described. Aerial vehicles used for this surveillance include manned and unmanned aircraft, satellites and lighter than air craft. Aerial vehicles can also be deployed from vehicles. The deployment is triggered by sensors registering a pattern in the data that is indicative of an accident that has happened or an accident about to happen.

Abstract: A system and method which uses pattern recognition in assessing or monitoring a vehicle status and/or an operator's driving behavior. A vehicle, for use by an operator or driver, can be equipped with a data collection and assessment system. The system can comprise one or more data collection devices, e.g., accelerometers, which can be used to capture data and information, or otherwise measure vehicle actions. A pattern recognition module is configured with one or more defined operating patterns, each of which operating patterns reflects either a known change in vehicle status corresponding to, e.g., when a passenger has embarked or disembarked the vehicle, or a known vehicle operating or driving behavior. Information collected as events describing a current vehicle status or a current driving behavior can be compared with the known operating patterns.

Abstract: Described herein is a system and method for predicting when repair and maintenance needs to be performed on a vehicle. The estimates can be based on one or more of in-vehicle sensor measurements during vehicle usage, external observations such as weather and traffic and road conditions and manually or digitally input maintenance and service reports. The gathered information is compared to information in a database from historical maintenance and service and the resulting damage and costs for those. The information is classified by the type of vehicle and the age and usage of the vehicle. Maintaining and refreshing the information and predictive models in the system is also part of the invention.

Abstract: A system and method which uses pattern recognition in assessing or monitoring a vehicle status and/or an operator's driving behavior. A vehicle, for use by an operator or driver, can be equipped with a data collection and assessment system. The system can comprise one or more data collection devices, e.g., accelerometers, which can be used to capture data and information, or otherwise measure vehicle actions. A pattern recognition module is configured with one or more defined operating patterns, each of which operating patterns reflects either a known change in vehicle status corresponding to, e.g., when a passenger has embarked or disembarked the vehicle, or a known vehicle operating or driving behavior. Information collected as events describing a current vehicle status or a current driving behavior can be compared with the known operating patterns.

Abstract: A system and method which uses pattern recognition in assessing or monitoring a vehicle status and/or an operator's driving behavior. A vehicle, for use by an operator or driver, can be equipped with a data collection and assessment system. The system can comprise one or more data collection devices, e.g., accelerometers, which can be used to capture data and information, or otherwise measure vehicle actions. A pattern recognition module is configured with one or more defined operating patterns, each of which operating patterns reflects either a known change in vehicle status corresponding to, e.g., when a passenger has embarked or disembarked the vehicle, or a known vehicle operating or driving behavior. Information collected as events describing a current vehicle status or a current driving behavior can be compared with the known operating patterns.

Abstract: A system and method which uses pattern recognition in assessing or monitoring a vehicle status and/or an operator's driving behavior. A vehicle, for use by an operator or driver, can be equipped with a data collection and assessment system. The system can comprise one or more data collection devices, e.g., accelerometers, which can be used to capture data and information, or otherwise measure vehicle actions. A pattern recognition module is configured with one or more defined operating patterns, each of which operating patterns reflects either a known change in vehicle status corresponding to, e.g., when a passenger has embarked or disembarked the vehicle, or a known vehicle operating or driving behavior. Information collected as events describing a current vehicle status or a current driving behavior can be compared with the known operating patterns.

Abstract: Described herein is a system and method of use for a vehicle diagnostic distributed database. One or more central servers are configured with a database containing diagnostic information pertaining to vehicles and relative to input received by the central server/s from client devices. The central server is configured to upload and download information with in-vehicle and external to vehicle diagnostic systems. These tasks are performed by first having the central server/s broadcast a message over open airways (for example, FM sidebands) to all potential client devices of interest. The message contains information identifying specific characteristics of client devices that should respond and further information about the information that is desired to be uploaded to the central server/s or for downloaded to the clients of interest. If clients meet the broadcast criteria, they then establish two-way communication with the central server/s and fulfill the request.

Abstract: A system to monitor vehicle accidents using a network of aerial based monitoring systems, terrestrial based monitoring systems and in-vehicle monitoring systems is described. Aerial vehicles used for this surveillance include manned and unmanned aircraft, satellites and lighter than air craft. Aerial vehicles can also be deployed from vehicles. The deployment is triggered by sensors registering a pattern in the data that is indicative of an accident that has happened or an accident about to happen.

Abstract: Described herein is a system and method for predicting when repair and maintenance needs to be performed on a vehicle. The estimates can be based on one or more of in-vehicle sensor measurements during vehicle usage, external observations such as weather and traffic and road conditions and manually or digitally input maintenance and service reports. The gathered information is compared to information in a database from historical maintenance and service and the resulting damage and costs for those. The information is classified by the type of vehicle and the age and usage of the vehicle. Maintaining and refreshing the information and predictive models in the system is also part of the invention.