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.

A system for evaluating performance of a driver of a vehicle with an electronic control unit is provided. The system includes an evaluation processor configured to access driving dynamics data regarding operation of the vehicle, and a driver monitoring sensor in communication with the evaluation processor to generate driver status data that relates to a position, orientation, or condition of the driver. One or more external monitoring sensors are in communication with the evaluation processor to generate external interaction data relating to interaction of the driver with an external environment. The evaluation processor is configured to generate a driver rating based upon the driving dynamics data and the driver status data and the external interaction data. A method for evaluating performance of a driver of a vehicle is also provided.

The present invention comprises a tool and a method for use in CDL training. The tool comprises a flat plane segmented into sections designated as levels. Each level comprises a one or more parking lanes to support the designated level. The size of each level is customized to support the backup training level. The tool can further comprise a software application to provide simulated backup instruction for the user.

A method and a device for planning and/or controlling and/or simulating the operation of a construction machine, in particular in the form of a crane, using a structure data model which contains digital information on a structure to be erected and/or to be worked on. A construction machine which can be linked to such a structure data model and/or can be controlled using such a structure data model. A construction machine data model which contains digital information on different construction machine models is linked to the structure data model or the BIM, characteristics of the available construction machines are already taken into consideration during the planning process, a simulator for training construction machine tasks is configured using the structure data model, and the controller of the construction machine is adapted to the structure data model with respect to specific control functions.

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.

A monitoring and maintenance system that utilizes imperial and theoretical data to compare parts, vehicles, users, regions, wear intensity indexes over time and tracking information to provide a sophisticated data collection system for heavy-duty equipment or rental equipment. This tracking is designed to better the specifications, designs, training, preventative maintenance, and replacement wear understanding of fleet management.

A method is provided for providing a tutorial message to a driver in a vehicle using an in-vehicle tutorial system including a multimodal user interface. The method includes assigning an area of improvement, including at least one tutorial task, to the tutorial system, identifying a driving context for which a tutorial task is to be performed, based on the tutorial task and the driving context, selecting a tutorial message encouraging a desired driving behavior, and providing the selected tutorial message to the driver using the multimodal user interface.

A method is provided for providing a tutorial message to a driver in a vehicle using an in-vehicle tutorial system including a multimodal user interface. The method includes assigning an area of improvement, including at least one tutorial task, to the tutorial system, identifying a driving context for which a tutorial task is to be performed, based on the tutorial task and the driving context, selecting a tutorial message encouraging a desired driving behavior, and providing the selected tutorial message to the driver using the multimodal user interface.

A circuit driving guide device includes at least one camera unit, disposed in a first vehicle, for acquiring driving information of the first vehicle driven on a driving route of a circuit and circuit information provided for each event occurring during driving on the driving route of the circuit, a communication module, disposed inside the first vehicle, for receiving, from a circuit server, map information of the driving route of the circuit and driving information of a second vehicle among one or more other vehicles driven on the driving route of the circuit, and a driving guide processor, disposed inside the first vehicle, for guiding a user in driving by analyzing the driving information of the first vehicle and the circuit information acquired from the at least one camera unit, and the map information and the driving information of the second vehicle provided from the communication module, and by applying an analyzed result value, obtained from the analyzing of the driving guide processor, to a driving rule of a preset circuit.