Embodiments described herein are directed to providing contextually relevant cues to users and to providing cues based on predicted conditions. In one scenario, a computer system identifies a task that is to be performed by a user. The computer system accesses data structures to identify current conditions related to the identified task. The computer system then generates, based on the identified current conditions related to the task, contextually relevant cues for the task. The contextually relevant cues provide suggestive information associated with the task. The computer system further provides the generated cue to the user. In other scenarios, the computer system identifies anticipated conditions related to the task using accessed historical information, and generates contextually relevant cues based on the identified anticipated conditions.

A soft body system adapted to form the body and exterior surface of a Guided Soft Target for testing crash avoidance technologies in a subject vehicle is disclosed. The soft body system is adapted to be mounted atop a motorized Dynamic Motion Element (DME) and when so mounted is adapted to collide with the subject vehicle while the DME is moving. The soft body system includes a semi-rigid form with an exterior surface. The form is sufficiently yielding so as to impart a minimal force to the subject vehicle upon impact. The form may be shaped like a vehicle or a part of a vehicle. The exterior surface includes a side skirt made of radar absorptive material (RAM), radar reflective material (RRM) or a combination of both, which is positioned adjacent to the ground and constructed to prevent radar wave from entering the soft body system.

A terminal is disclosed. The terminal according to an embodiment of the present invention comprises: an output unit for outputting a notification; a storage unit for storing a database; a control unit for controlling the outputting of the notification; and an artificial intelligence unit for acquiring information regarding a user's context, and outputting a notification when the user's context corresponds to information included in the database, wherein the database includes at least one of a user's personal database, a standard activity database, and an accident type database.

A method of providing visual feedback to a driver based on data collected during vehicle operation. A processor at the vehicle analyzes vehicle data and determines when predetermined threshold values have been reached for particular parameters. Whenever such a threshold is reached, an audible indication is provided to the driver, indicating that the baseline has been exceeded. Certain parameters have at least two threshold values. When a first threshold value is reached, an alert is presented to the driver, but no data is recorded or reported. When a second threshold value is reached, another alert is presented to the driver, and data is recorded for reporting to a driver manager or supervisor. This approach provides a driver warning, that if they correct the triggering behavior, their supervisor is never notified of that behavior. However, if the behavior escalates, and the second threshold is breached, the behavior is recorded.

A method of providing visual feedback to a driver based on data collected during vehicle operation. A processor at the vehicle analyzes vehicle data and determines when predetermined threshold values have been reached for particular parameters. Whenever such a threshold is reached, an audible indication is provided to the driver, indicating that the baseline has been exceeded. Certain parameters have at least two threshold values. When a first threshold value is reached, an alert is presented to the driver, but no data is recorded or reported. When a second threshold value is reached, another alert is presented to the driver, and data is recorded for reporting to a driver manager or supervisor. This approach provides a driver warning, that if they correct the triggering behavior, their supervisor is never notified of that behavior. However, if the behavior escalates, and the second threshold is breached, the behavior is recorded.

A method and system for student driver monitoring which includes configuring student and instructor devices. For each driving session, configuring at least one the student and instructor devices for pairing the devices; generating a driving session log; monitoring continued pairing of the devices; and uploading the driving session log to a driver training database. The method also includes enabling authorized access to the database to retrieve training information. Pairing the student and instructor devices requires the student and instructor devices to be within a limited range of one another, or in the same vehicle. Vehicle and camera information can be collected for the session log. A seat belt sensor system can indicate whether the student seatbelt is fastened. An unfastened student seatbelt can prevent pairing of the student and instructor devices. Pairing the student and instructor devices can include confirming authentication information.

A method and system for student driver monitoring which includes configuring student and instructor devices. For each driving session, configuring at least one the student and instructor devices for pairing the devices; generating a driving session log; monitoring continued pairing of the devices; and uploading the driving session log to a driver training database. The method also includes enabling authorized access to the database to retrieve training information. Pairing the student and instructor devices requires the student and instructor devices to be within a limited range of one another, or in the same vehicle. Vehicle and camera information can be collected for the session log. A seat belt sensor system can indicate whether the student seatbelt is fastened. An unfastened student seatbelt can prevent pairing of the student and instructor devices. Pairing the student and instructor devices can include confirming authentication information.

Present invention provides a system and method that includes installation of one or more cameras at various locations on a smart driving yard or in a parking lot. These cameras capture activity of a vehicle in the smart driving yard and perform an analysis using Computer Vision and machine learning. In some embodiments, one or more drones may also be employed for capturing the vehicle activity. The vehicle location is identified based on the individual pose of markers installed on the vehicle for easier object localization. The vehicle is then localized and its location is marked on a 2-dimensional map of the yard. Subsequently, a lane model is applied to identify driving violations or errors that a driver commits while driving. Subsequently, a lane model based on decision trees algorithm is trained to identify if the vehicle touches/intersects any of the parking line markings or any zones of interest.

Present invention provides a system and method that includes installation of one or more cameras at various locations on a smart driving yard or in a parking lot. These cameras capture activity of a vehicle in the smart driving yard and perform an analysis using Computer Vision and machine learning. In some embodiments, one or more drones may also be employed for capturing the vehicle activity. The vehicle location is identified based on the individual pose of markers installed on the vehicle for easier object localization. The vehicle is then localized and its location is marked on a 2-dimensional map of the yard. Subsequently, a lane model is applied to identify driving violations or errors that a driver commits while driving. Subsequently, a lane model based on decision trees algorithm is trained to identify if the vehicle touches/intersects any of the parking line markings or any zones of interest.

An on-vehicle system for assessing an operator's efficiency of a vehicle, include sensors, an audiovisual display device, a processor and a data storage. The sensors measure or detect conditions of components of the vehicle, and convert the detected conditions into analog or digital information. The data storage stores program instructions, the analog or digital information from the sensors, and other data. The program instructions, when executed by the processor, control the on-vehicle system to determine a state of the vehicle within a vehicle's environment based on the analog or digital information from the sensors, determine whether one or more of a predetermined set of behaviors has occurred based on the determined state of a vehicle, assess performance of the determined one or more of the predetermined set of behaviors, and present the operator, via the audiovisual display device, a feedback based on the assessment.