A method for assisting driving training, and an electronic device, relating to the field of computer technology, and in particular, to the field of mobile control technology, are provided. The method includes: acquiring training situations of a plurality of teaching vehicles from a server: displaying the training situations of the plurality of teaching vehicles; and generating a control command for driving training according to an instruction of a trainer in a training site; and sending the control command to a vehicle-mounted terminal of a corresponding teaching vehicle. The technical solution may be applied to the training site, and controls the vehicle-mounted terminal based on the mobile device, thereby realizing mobile driving training and improving driving training effects.

A driving guidance system that provides a driving guidance to a driver when the driver makes operations to remotely control a vehicle in a driving route. The driving guidance system includes at least one driving guidance equipment, an analytic engine, a control platform. The driving guidance equipment is distributed along the driving route for recording data of the vehicle. The analytic engine receives and analyzes the data of the vehicle to generate a plurality of features of the vehicle. The control platform further includes a real virtuality objects generator and a display. The real virtuality objects generator generates a plurality of real virtuality objects based on the features of the vehicle and the display shows the real virtuality objects to the driver of the vehicle for providing the driving guidance.

A driving guidance system that provides a driving guidance to a driver when the driver makes operations to remotely control a vehicle in a driving route. The driving guidance system includes at least one driving guidance equipment, an analytic engine, a control platform. The driving guidance equipment is distributed along the driving route for recording data of the vehicle. The analytic engine receives and analyzes the data of the vehicle to generate a plurality of features of the vehicle. The control platform further includes a real virtuality objects generator and a display. The real virtuality objects generator generates a plurality of real virtuality objects based on the features of the vehicle and the display shows the real virtuality objects to the driver of the vehicle for providing the driving guidance.

A driving accident simulation, having a head-wearable user interface (e.g., a head-worn virtual-reality display), may be used to inform a driver of the driver's potential liability under different insurance options. The simulation may determine damages caused by the simulated accident, and identify multiple insurance options and the resulting user liability under each option. The simulation may also be used to assess an insurance adjuster's ability to estimate damages from an accident, by receiving the adjuster's estimate and comparing it to the simulation's own estimate of damages. In some embodiments, the simulation may present a driver with a simulated view from a point of view of another party to the simulated accident.

The driving judgment apparatus according to this disclosure includes a running data acquisition unit for acquiring the running data of a vehicle running on a predetermined course by manual driving of a driver after the vehicle that can run by self-driving or manual driving performs a model running on the course by self-driving; and an item judgment unit for judging the propriety of the driver's driving for each item based on evaluation reference data and at least one of the difference between the running data acquired by the running data acquisition unit and model running data and the running data acquired by the running data acquisition unit.

The driving judgment apparatus according to this disclosure includes a running data acquisition unit for acquiring the running data of a vehicle running on a predetermined course by manual driving of a driver after the vehicle that can run by self-driving or manual driving performs a model running on the course by self-driving; and an item judgment unit for judging the propriety of the driver's driving for each item based on evaluation reference data and at least one of the difference between the running data acquired by the running data acquisition unit and model running data and the running data acquired by the running data acquisition unit.

In accordance with an exemplary embodiment, a method is provided for training a trainee using an autonomous vehicle, the method including: measuring, via one or more sensors, one or more manual inputs from the trainee with respect to controlling the autonomous vehicle; determining, via a processor using an autonomous driving algorithm stored in a memory of the autonomous vehicle, one or more recommended actions for the autonomous vehicle; comparing, via the processor, the one or more manual inputs from the trainee with the one or more recommended actions for the autonomous vehicle, generating a comparison; and determining, via the processor, a score for the trainee based on the comparison between the one or more manual inputs from the trainee with the one or more recommended actions for the autonomous vehicle.

In accordance with an exemplary embodiment, a method is provided for training a trainee using an autonomous vehicle, the method including: measuring, via one or more sensors, one or more manual inputs from the trainee with respect to controlling the autonomous vehicle; determining, via a processor using an autonomous driving algorithm stored in a memory of the autonomous vehicle, one or more recommended actions for the autonomous vehicle; comparing, via the processor, the one or more manual inputs from the trainee with the one or more recommended actions for the autonomous vehicle, generating a comparison; and determining, via the processor, a score for the trainee based on the comparison between the one or more manual inputs from the trainee with the one or more recommended actions for the autonomous vehicle.

Methods, computer-readable media, software, and apparatuses provide a tool for use by drivers and/or coaches throughout the pre-license stage of obtaining a driver’s license. A pre-license program may control a computing device to collect drive data while a driver is driving a vehicle. This drive data may be used to detect a drive event. Then, the computing device may present coaching information associated with the detected drive event. The coaching information may provide a passenger, such as a coach or parent, with real-time advice for instructing the driver how to improve his/her driving skills. Moreover, the drive data collected may be used to prepare reports providing feedback to the drivers and coaches. Further, the pre-license program may determine an expected track for a driver to follow to prepare for a driver’s license test and may indicate whether the driver is on or off the track.

Methods, computer-readable media, software, and apparatuses provide a tool for use by drivers and/or coaches throughout the pre-license stage of obtaining a driver’s license. A pre-license program may control a computing device to collect drive data while a driver is driving a vehicle. This drive data may be used to detect a drive event. Then, the computing device may present coaching information associated with the detected drive event. The coaching information may provide a passenger, such as a coach or parent, with real-time advice for instructing the driver how to improve his/her driving skills. Moreover, the drive data collected may be used to prepare reports providing feedback to the drivers and coaches. Further, the pre-license program may determine an expected track for a driver to follow to prepare for a driver’s license test and may indicate whether the driver is on or off the track.