Systems and methods for scenario marker infrastructure are disclosed. In one embodiment, a method comprises receiving driving scenario data, extracting simulated sensor data from the driving scenario data, extracting scenario markers from the driving scenario data, inputting the simulated sensor data into autonomous driving software, receiving driving instructions output by the driving software, updating a driving status of the autonomous vehicle based on the driving instructions output by the autonomous driving software, creating a simulation log comprising the simulated sensor data and the driving instructions, and inserting the scenario markers into the simulation log.

A pre-driving test device includes a control unit that calculates a score of a pre-driving test by outputting request data that requests a user for performing a user operation including, as the pre-driving test, a steering wheel operation, an accelerator operation, a brake operation, or an arbitrary combination of the steering wheel operation, the accelerator operation, and the brake operation, after a vehicle is started and before the vehicle starts moving, acquiring vehicle data recorded in the vehicle while the user operation is being performed, and evaluating the user operation based on the vehicle data acquired, and determines whether to give an incentive to the user by comparing the calculated score with a reference score.

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 driving assistance device for a driver of a vehicle includes an electronic control unit configured to, before the vehicle passes through a predetermined position in a predetermined direction, acquire information relating to a predetermined traffic regulation to be applied when the vehicle passes through the predetermined position in the predetermined direction, acquire an observance tendency of an other driver relating to the predetermined traffic regulation, a degree of similarity between a predetermined characteristic of the other driver and the predetermined characteristic of the driver of the vehicle is equal to or greater than a predetermined value, before the vehicle passes through the predetermined position in the predetermined direction, output a warning to prompt observance of the predetermined traffic regulation, and change an output state of the warning to prompt observance of the predetermined traffic regulation based on the observance tendency of the traffic regulation of another driver.

A cloud-based training tool for coaching and reinforcement of defensive driver skills and knowledge is disclosed. The cloud-based training tool for coaching and reinforcement of defensive driver skills and knowledge is unlike anything in its field. The cloud-based training tool for coaching and reinforcement of defensive driver skills and knowledge uses a scoring system that provides accuracy on knowledge and skills.

A vehicle-initiated cadenced operator interaction system introduces an operational concept to a vehicle operator via a machine-initiated interaction. Thereafter, interaction is initiated by the industrial vehicle according to a cadence that provides a gap between interactions so that the operator can demonstrate the behavior associated with the introduced concept. Industrial vehicle data associated with the content of the interaction(s) is analyzed and evaluated against pre-defined operational criteria to determine whether the operator is demonstrating the appropriate skill/behavior associated with the interaction(s). Responsive to the operator's demonstrated ability, the system can modify operation of the vehicle to tune the industrial vehicle to the operator. The system can also extend to the operating environment, by interacting with electronic devices, vehicles, machines, etc., in the operating environment to tune the environment to the operator.

A method and a system analyze the control of a vehicle having an autonomous driving unit. A change in the driving mode from autonomous driving to manual driving is detected, and at least one driving parameter before and/or after detecting the change is monitored. Based on driving values obtained by the monitoring with respect to the detected change in driving mode, at least one driving quantity quantifying the quality of interplay between the autonomous driving unit and a human driver is determined.

A racing coach device stores a first path of travel along a racetrack over a first time period and a second path of travel along the racetrack over a second time period. The racing coach device identifies, for each of a plurality of geolocations along the racetrack, one of the first path of travel or the second path of travel that is associated with a shorter duration of time over which the user traversed a segment of the path of travel associated with each of the plurality of geolocations. The device determines an optimal path of travel along the racetrack based on the identified first and second path of travel for each segment of the path of travel at each of the plurality of geolocations that results in a calculated lap time to traverse the racetrack that is less than the first time period and the second time period.

System, methods, and other embodiments described herein relate to a training system to train a driver about occurrences of anomalous driving events of automated vehicle systems. In one embodiment, a method includes determining, upon receiving a selection of a vehicle behavior from one or more anomalous driving events and a detected state change signal, whether the vehicle behavior affects one or more entities. The method includes assessing a state of the one or more entities to simulate the vehicle behavior according to a safety standard. The method includes triggering simulation of the vehicle behavior if the state satisfies a threshold. The method includes simulating the vehicle behavior by at least controlling the vehicle to simulate the vehicle behavior during automated driving of the vehicle.

A system for providing vehicle function guidance and test-driving experience based on augmented reality content according to an embodiment includes: an augmented reality terminal for executing a vehicle description application realizing a vehicle function guidance or test-driving experience providing service on the basis of augmented reality content; a window display device provided on at least two windows including the front side of a vehicle and displaying the augmented reality content; a vehicle speaker for outputting audio according to the augmented reality content; a virtual driving device for providing haptic including predetermined vibration or tilting in the vehicle; and a test-driving experience service providing server for controlling the window display device, the vehicle speaker or the virtual driving device in connection with the vehicle description application.