System, methods, and other embodiments described herein relate to improving the training of a driver during an automated driving system mode. In one embodiment, a method includes generating, in association with a maneuver by the driver that is a takeover of a vehicle, an automated motion plan associated with the maneuver. The method also includes determining if the automated motion plan is valid based, at least in part, on a condition that one or more parameters of a reliability model satisfy a threshold. The one or more parameters may be associated with the vehicle and a driving environment. The method also includes notifying the driver that the maneuver was unnecessary using a notification signal if the one or more parameters satisfy the threshold.

System, methods, and other embodiments described herein relate to improving the training of a driver during an automated driving system mode. In one embodiment, a method includes generating, in association with a maneuver by the driver that is a takeover of a vehicle, an automated motion plan associated with the maneuver. The method also includes determining if the automated motion plan is valid based, at least in part, on a condition that one or more parameters of a reliability model satisfy a threshold. The one or more parameters may be associated with the vehicle and a driving environment. The method also includes notifying the driver that the maneuver was unnecessary using a notification signal if the one or more parameters satisfy the threshold.

A system and a method for educating a taxi driver platform using augmented reality (AR) or virtual reality (VR) is disclosed, which provide a non-face-to-face platform taxi experience education using AR or VR, which switches a legacy offline membership taxi education to a non-face-to-face online education using the AR or VR, and construct a real spatial background using 360-degree images (VR) and add sense of location using the AR and provide a realistic environment to allow trainees to personally practice an experiential education learning contents through an interaction in a produced environment, thereby increasing an educational learning ability of the trainees. The system includes: a user terminal in which a taxi driver education app is installed; and a server which communicates with the user terminal by a communication network to provide the taxi driver education app, in which a non-face-to-face taxi education is performed through the taxi driver education app.

A system and a method for educating a taxi driver platform using augmented reality (AR) or virtual reality (VR) is disclosed, which provide a non-face-to-face platform taxi experience education using AR or VR, which switches a legacy offline membership taxi education to a non-face-to-face online education using the AR or VR, and construct a real spatial background using 360-degree images (VR) and add sense of location using the AR and provide a realistic environment to allow trainees to personally practice an experiential education learning contents through an interaction in a produced environment, thereby increasing an educational learning ability of the trainees. The system includes: a user terminal in which a taxi driver education app is installed; and a server which communicates with the user terminal by a communication network to provide the taxi driver education app, in which a non-face-to-face taxi education is performed through the taxi driver education app.

System, methods, and other embodiments described herein relate to improving the training of a driver during an automated driving system mode. In one embodiment, a method includes generating, in association with a maneuver by the driver that is a takeover of a vehicle, an automated motion plan associated with the maneuver. The method also includes determining if the automated motion plan is valid based, at least in part, on a condition that one or more parameters of a reliability model satisfy a threshold. The one or more parameters may be associated with the vehicle and a driving environment. The method also includes notifying the driver that the maneuver was unnecessary using a notification signal if the one or more parameters satisfy the threshold.

System, methods, and other embodiments described herein relate to improving the training of a driver during an automated driving system mode. In one embodiment, a method includes generating, in association with a maneuver by the driver that is a takeover of a vehicle, an automated motion plan associated with the maneuver. The method also includes determining if the automated motion plan is valid based, at least in part, on a condition that one or more parameters of a reliability model satisfy a threshold. The one or more parameters may be associated with the vehicle and a driving environment. The method also includes notifying the driver that the maneuver was unnecessary using a notification signal if the one or more parameters satisfy the threshold.

Aspects disclosed herein provide a learning management system associated with a learning environment. The learning management system may be accessed via a credentialed sign-in procedure. Once the credentials are verified, a user may be provided a tailored experience based on their account. The learning management system may provide offerings of different training scenarios and also for tracking and reviewing of assessments associated with completed training scenarios.

Aspects disclosed herein provide a learning management system associated with a learning environment. The learning management system may be accessed via a credentialed sign-in procedure. Once the credentials are verified, a user may be provided a tailored experience based on their account. The learning management system may provide offerings of different training scenarios and also for tracking and reviewing of assessments associated with completed training scenarios.

Aspects disclosed herein provide an operator training system that can train an operator about basic machine movements, operations, and applications, such as asphalt compactor rolling patterns, paving-by-numbers, milling-by-numbers, etc. with the use of a virtual reality headset at any point or time on a work site. The operator training system uses data received from the virtual reality headset and associated hand controls to guide the operator via training scenarios. The operator training system also includes providing immediate feedback on the outcome of the training scenario and may also identify one or more areas of improvement.

Aspects disclosed herein provide an operator training system that can train an operator about basic machine movements, operations, and applications, such as asphalt compactor rolling patterns, paving-by-numbers, milling-by-numbers, etc. with the use of a virtual reality headset at any point or time on a work site. The operator training system uses data received from the virtual reality headset and associated hand controls to guide the operator via training scenarios. The operator training system also includes providing immediate feedback on the outcome of the training scenario and may also identify one or more areas of improvement.