A processor is configured to execute instructions stored in a memory to determine, in response to identifying vehicle operational scenarios of a scene, an action for controlling the AV, where the action is from a selected decision component that determined the action based on level of certainty associated with a state factor; generate an explanation as to why the action was selected, such that the explanation includes respective descriptors of the action, the selected decision component, and the state factor; and display the explanation in a graphical view that includes a first graphical indicator of a world object of the selected decision component, a second graphical indicator describing the state factor, and a third graphical indicator describing the action.

An information processing device acquires question information. The information processing device acquires vehicle state information representing a state of the vehicle. The information processing device acquires answer information in response to the question information, the answer information including an image for display. The information processing device, in a case in which the vehicle state information represents that the vehicle is traveling, stores the answer information in a storage. The information processing device, in a case in which the information processing device acquires vehicle state information representing that the vehicle is stopped, outputs the answer information stored in the storage.

An information processing device acquires question information. The information processing device acquires vehicle state information representing a state of the vehicle. The information processing device acquires answer information in response to the question information, the answer information including an image for display. The information processing device, in a case in which the vehicle state information represents that the vehicle is traveling, stores the answer information in a storage. The information processing device, in a case in which the information processing device acquires vehicle state information representing that the vehicle is stopped, outputs the answer information stored in the storage.

Systems and methods for providing continuous safe-driver training safely are provided. A safe-driving challenge may be presented to an operator of a vehicle. Data captured by sensors associated with the vehicle may be analyzed to determine whether the operator of the vehicle has completed the safe-driving challenge. Based on a determination that the operator of the vehicle has completed the safe-driving challenge, a notification may be provided to the operator (e.g., indicating to the operator that he or she has successfully completed the challenge). A processor may randomly select whether a reward is to be provided to the operator of the vehicle based on the determination that the operator of the vehicle has completed the safe-driving challenge. Moreover, if a reward is to be provided to the operator of the vehicle, a processor may randomly select a type of reward to be provided to the operator of the vehicle.

A position and attitude estimation apparatus includes sub-sensor input accepters, a speed sensor state determiner, a scale estimator, and a position and attitude information corrector. The sub-sensor input accepter accepts an output of a sub-sensor which acquires information regarding a movement amount based on information other than an output value of a speed sensor. The speed sensor state determiner determines whether the output value of the speed sensor is reliable. The scale estimator estimates a size of the movement amount based on at least one of the output value of the speed sensor and an output value of the sub-sensor. The position and attitude information corrector corrects position and attitude information based on the size of the movement amount estimated by the scale estimator.

A position and attitude estimation apparatus includes sub-sensor input accepters, a speed sensor state determiner, a scale estimator, and a position and attitude information corrector. The sub-sensor input accepter accepts an output of a sub-sensor which acquires information regarding a movement amount based on information other than an output value of a speed sensor. The speed sensor state determiner determines whether the output value of the speed sensor is reliable. The scale estimator estimates a size of the movement amount based on at least one of the output value of the speed sensor and an output value of the sub-sensor. The position and attitude information corrector corrects position and attitude information based on the size of the movement amount estimated by the scale estimator.

The disclosed embodiments include a onboard driver distraction determination system. The determination system includes a onboard sensing and computing system(s), which includes inertial sensor(s), internal sensor(s), and external sensor(s). The onboard system samples data from the sensor(s) during a driving session to determine steering activity metrics and driver behavior. A steering activity metric is a representation of the steering inputs by the driver during the driving session. Driver behavior is a representation of how distracted the driver is during the driving session. By performing the above mentioned steps, the system can provide an analysis of driver distraction and optionally, take control of the vehicle to avoid aberrant behavior.

The disclosed embodiments include a onboard driver distraction determination system. The determination system includes a onboard sensing and computing system(s), which includes inertial sensor(s), internal sensor(s), and external sensor(s). The onboard system samples data from the sensor(s) during a driving session to determine steering activity metrics and driver behavior. A steering activity metric is a representation of the steering inputs by the driver during the driving session. Driver behavior is a representation of how distracted the driver is during the driving session. By performing the above mentioned steps, the system can provide an analysis of driver distraction and optionally, take control of the vehicle to avoid aberrant behavior.

Systems and methods are disclosed for monitoring or affecting movement of a vehicle using a traffic device. An event data source may have a processor and/or a transceiver. The event data source may transmit, via the transceiver and to a vehicle and infrastructure computing device, information indicative of an event affecting a portion of road. The vehicle and infrastructure computing device may comprise a vehicle and infrastructure control computer. The vehicle and infrastructure computing device may receive, from the event data source, the information indicative of the event affecting the portion of road. The computing device may determine one or more traffic devices associated with the portion of road and configured to control traffic for the portion of road. Based on the information indicative of the event affecting the portion of road, the computing device may send, to the one or more traffic devices associated with the portion of road, instructions to change one or more characteristics of the one or more traffic devices.

Upon determining a vehicle is in an off-road area based on sensor data, an off-road operation mode is enabled to an enabled state. Then, upon receiving a first user input selecting the off-road operation mode, one or more assist features are represented on a display in the vehicle. Then at least one of the assist features is selected based on a second user input. Then, after a key cycle initiated by a user that engages the vehicle from an off state to an on state, the selected assist feature is deactivated to a deactivated state.