A parking practice assembly for practicing parking a vehicle includes a first corner post, a second corner post and a third corner post. A short cable is attachable between the first corner post and the second corner post. The short cable has a length of at least 185.0 inches to space the corner posts a distance apart from each other that corresponds to the width and a length of a parking space for a vehicle. A long cable is attachable between second corner post and the third corner post such that the long cable is oriented perpendicular to the short cable. Additionally, the long cable has a length of at least 372.0 inches to space the corner posts a distance apart from each other that corresponds to the width and the length of the parking space for the vehicle.

A parking practice assembly for practicing parking a vehicle includes a first corner post, a second corner post and a third corner post. A short cable is attachable between the first corner post and the second corner post. The short cable has a length of at least 185.0 inches to space the corner posts a distance apart from each other that corresponds to the width and a length of a parking space for a vehicle. A long cable is attachable between second corner post and the third corner post such that the long cable is oriented perpendicular to the short cable. Additionally, the long cable has a length of at least 372.0 inches to space the corner posts a distance apart from each other that corresponds to the width and the length of the parking space for the vehicle.

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.

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 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.