A device may receive fiber sensing data identifying vehicles traveling on a roadway associated with a fiber optic network and location data identifying geographical locations of the vehicles traveling on the roadway. The device may process the fiber sensing data, with a machine learning model, to identify a particular vehicle, of the vehicles, that is traveling in a wrong direction on the roadway. The device may process the location data, with the machine learning model, to identify locations of the roadway, a cellular network associated with the roadway, and vehicle devices of the vehicles traveling on the roadway, other than the particular vehicle, and a nearest camera device to the particular vehicle. The device may perform one or more actions based on the locations of the roadway, the cellular network associated with the roadway, and the vehicle devices of the vehicles traveling on the roadway, other than the particular vehicle.

A system and method are that includes a frame and a weapon mount on the frame that receives a weapon mock-up. The method includes setting up a trainer simulator including opening a transportable shipping container, wherein the transportable shipping container includes a coupled integrated common base frame and a universal mount tower. The method includes assembling a seat and pivoting the universal mount tower from a horizontal position to a vertical position wherein the universal mount tower auto-locks into position. The method includes delivering ground vehicle based weapon system training to a user using a continuum of human interface fidelities that includes a first, second and third fidelity, wherein the user is first delivered training at a first fidelity, and then at a second fidelity and then at a third fidelity. A system for a mission reconfigurable trainer simulation is also presented.

A guidance system provides a driver of a vehicle with guidance on a driving operation, and includes a server device that accumulates past traveling records on a traveling road on which the vehicle travels, an acquisition device that acquires a current state of the vehicle, and a notification device that notifies the driver, while driving, of the operation content determined based on the current state of the vehicle and the past traveling records.

System, methods, and other embodiments described herein relate to improving the training of a driver during automated driving system mode. In one embodiment, a method includes generating, in association with a vehicle takeover and a maneuver by the driver, an automated motion plan associated with the maneuver. The method also includes determining if a difference parameter satisfies a threshold, wherein the difference parameter indicates a disparity between the maneuver by the driver in relation to the automated motion plan associated with the maneuver. The method also includes notifying, if the difference parameter does not satisfy the threshold, the driver that the vehicle takeover and the maneuver by the driver were unnecessary.

A method of providing a driver of a vehicle with feedback for self-coaching, via a driver electronic device includes querying a server from access software on the driver electronic device, wherein the querying comprises querying the server with a query comprising a predefined driver; receiving, by the access software, driver coaching data associated with the predefined driver, the driver coaching data being based on an output from an active safety system on the vehicle; listing, by the access software, a user-selectable item representing the received driver coaching data via a display of the driver electronic device; and conveying the driver coaching data to the driver.

A heavy-duty interactive (HDi) system may include a heavy-duty vehicle; a work tool installed on the heavy-duty vehicle; a memory that stores a plurality of patterns representing operation events for the heavy-duty vehicle; a first sensor affixed to the heavy-duty vehicle that collects first sensor data as the heavy-duty vehicle is operated; a second sensor affixed to the work tool that collects second sensor data as the work tool is operated; and a controller operatively coupled to the first sensor, the second sensor, and the memory. The controller may be configured to identify a heavy-duty vehicle operation event by comparing at least one of the first sensor data and the second sensor data with the plurality of patterns in the memory, and associate the work tool with the heavy-duty vehicle based on a comparison of the first sensor data and the second sensor data.

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.

Systems and methods for generating and communicating challenges that are intended to improve driving behavior are provided. According to certain aspects, a backend server may receive vehicle data describing the vehicle's operation or the vehicle operator from sensors or an electronic device. The backend server may compare target parameters and the vehicle data and, optionally, data from an external information source, to determine differences and calculate risk. The backend server may transmit challenges to the electronic device, and may generate a comparison factor and process an account of a the vehicle operator based on updated vehicle data received from the electronic device.

A shovel includes a traveling body, a turning body turnably mounted on the traveling body, an attachment attached to the turning body and including a boom, an arm, and a bucket, and a hardware processor. The hardware processor is configured to output a warning about the operation of at least one of the traveling body, the turning body, and the attachment when the shovel is on sloping ground or is likely to enter sloping ground. The hardware processor is configured to output the warning when the traveling body is traveling on the sloping ground in a downward direction or is likely to travel on the sloping ground in the downward direction. The warning alerts an operator to the tipping of the shovel in the downward direction of the sloping ground.

An information processing method includes: acquiring, by an information processing device, user's input information including a question sentence about a vehicle; and outputting, by the information processing device, an answer sentence according to a detail level, the detail level being an index indicating a detail degree of a sentence, and the detail level being determined based on a characteristic value of the question sentence.