Heads up display system
AssigneeInternational Business Machines Corporation
InventorsByron S. Green, John S. Werner, Arkadiy O. Tsfasman
Life of this patent
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Abstract
Methods, systems and computer program products for identifying non-standard driving behavior are provided. Aspects include receiving, from one or more sensors associated with a vehicle, vehicle operation data for a vehicle driving environment associated with the vehicle, analyzing the vehicle operation data to identify one or more other vehicles engaged in non-standard operation, and overlaying, on a display, an alert indicia highlighting the one or more other vehicles.
Claims19
A system for identifying non-standard driving behavior, the system comprising:
- a memory having computer readable instructions;
- and
- a processor for executing the computer readable instructions, the computer readable instructions including:
- determining, from one or more sensors associated with a vehicle, vehicle operation data associated with the vehicle;
- determining, by accessing an outside server, a vehicle driving environment associated with the vehicle, wherein the vehicle driving environment is determined based on a location of the vehicle determined by the one or more sensors;
- analyzing, by a learning model, the vehicle operation data to determine one or more other vehicles engaged in non-standard operation within a pre-defined proximity to the vehicle, wherein the non-standard operation is determined based at least in part on the vehicle driving environment;
- overlaying, on a display, a first alert indicium highlighting the one or more other vehicles engaged in non-standard operation;
- receiving feedback, from a user, indicating an acceptance or a rejection of the one or more other vehicles engaged in non-standard operation;
- updating the learning model based at least in part on the feedback;
- and
- adjusting a route on a global positioning system (GPS) for the vehicle based at least in part on the identifying one or more other vehicles engaged in non-standard operation;
- determining a first vehicle exhibiting habitual non-standard driving behavior over a period of time;
- storing a characteristic of the first vehicle in a memory, wherein the characteristic comprises a license plate;
- automatically overlaying, on the display, a second alert indicium highlighting the first vehicle at a new time when encountering the first vehicle in the driving environment.
A method for identifying non-standard driving behavior, the method comprising:
- determining, from one or more sensors associated with a vehicle, vehicle operation data associated with the vehicle;
- determining, by accessing an outside server, a vehicle driving environment associated with the vehicle, wherein the vehicle driving environment is determined based on a location of the vehicle determined by the one or more sensors;
- analyzing, by a learning model, the vehicle operation data to determine one or more other vehicles engaged in non-standard operation within a pre-defined proximity to the vehicle, wherein the non-standard operation is determined based at least in part on the vehicle driving environment;
- overlaying, on a display, a first alert indicium highlighting the one or more other vehicles engaged in non-standard operation;
- receiving feedback, from a user, indicating an acceptance or a rejection of the one or more other vehicles engaged in non-standard operation;
- updating the learning model based at least in part on the feedback;
- and
- adjusting a route on a global positioning system (GPS) for the vehicle based at least in part on the identifying one or more other vehicles engaged in non-standard operation;
- determining a first vehicle exhibiting habitual non-standard driving behavior over a period of time;
- storing a characteristic of the first vehicle in a memory, wherein the characteristic comprises a license plate;
- automatically overlaying, on the display, a second alert indicium highlighting the first vehicle at a new time when encountering the first vehicle in the driving environment.
A computer program product for identifying non-standard driving behavior comprising a non-transitory computer readable storage medium having program instructions embodied therewith the program instructions executable by a computer processor to cause the computer processor to perform a method, comprising:
- determining, from one or more sensors associated with a vehicle, vehicle operation data associated with the vehicle;
- determining, by accessing an outside server, a vehicle driving environment associated with the vehicle, wherein the vehicle driving environment is determined based on a location of the vehicle determined by the one or more sensors;
- analyzing, by a learning model, the vehicle operation data to determine one or more other vehicles engaged in non-standard operation within a pre-defined proximity to the vehicle, wherein the non-standard operation is determined based at least in part on the vehicle driving environment;
- and
- overlaying, on a display, a first alert indicium highlighting the one or more other vehicles engaged in non-standard operation;
- receiving feedback, from a user, indicating an acceptance or a rejection of the one or more other vehicles engaged in non-standard operation;
- updating the learning model based at least in part on the feedback;
- and
- adjusting a route on a global positioning system (GPS) for the vehicle based at least in part on the identifying one or more other vehicles engaged in non-standard operation;
- determining a first vehicle exhibiting habitual non-standard driving behavior over a period of time;
- storing a characteristic of the first vehicle in a memory, wherein the characteristic comprises a license plate;
- automatically overlaying, on the display, a second alert indicium highlighting the first vehicle at a new time when encountering the first vehicle in the driving environment.
Dependencies are inferred from the claim text.