The described techniques relate to coordinating and managing faults of systems of a vehicle, such as an autonomous vehicle, to enable the vehicle to respond safely and appropriately to the faults. In examples, a centralized fault monitor system receives faults from different vehicle systems, maps the received faults to associated fault constraints, prioritizes different and shared parameters between the fault constraints, and communicates the constraint parameters to appropriate vehicle systems accordingly.

Provided herein is a system of a vehicle that comprises one or more sensors, one or more processors, and memory storing instructions that, when executed by the one or more processors, causes the system to perform: selecting a trajectory along a route of the vehicle; predicting a trajectory of another object along the route; adjusting the selected trajectory based on a predicted change, in response to adjusting the selected trajectory, to the predicted trajectory of the another object, the predicted change to the predicted trajectory of the another object being stored in a model; determining an actual change, in response to adjusting the selected trajectory, to a trajectory of the another object, in response to an interaction between the vehicle and the another object; updating the model based on the determined actual change to the trajectory of the another object; and selecting a future trajectory based on the updated model.

A method for evaluating a minimum breaking distance of a vehicle, in particular a car. The method comprises the step of obtaining at least one image in a movement direction of the vehicle associated substantially with an actual location of vehicle. A first road type indication from the at least one image is determined by a trained neural network architecture. Second road type indication associated with the actual location of the car are obtained from a database and compared with the first road type indication. If the second road type indication supports the determined first road type indication, an adjustment parameter associated with one of the at least first and second road type indication is selected. If second road type indication does not support the determined first road type indication, a default adjustment parameter as adjustment parameter is selected. Finally, a minimum breaking distance using the adjustment parameter is set.

A computer program, a communication circuit for a trailer, a communication circuit for a transportation vehicle, a transportation vehicle, a trailer, and methods for communication between a transportation vehicle and a trailer. Provided is a method for communication between a transportation vehicle and a trailer which includes communicating a message between the transportation vehicle and the trailer using technology for communication between separate transportation vehicles.

Provided herein is technology relating to automated driving and particularly, but not exclusively, to a connected reference marker technology configured to serve automated driving systems by providing, supplementing, and/or enhancing autonomous driving functions for connected automated vehicles under normal and abnormal driving scenarios.

A system for increasing the safety of voice conversations between drivers and remote parties is shown. The system includes an in-vehicle subsystem and a remote subsystem. The system includes a plurality of sensors which are configured to generate monitoring data. The system includes a computing device, which may be distributed between the subsystems and is configured to calculate a risk level as a function of the monitoring data. The computing device may engage an automatic safety response as a function of the risk level, that may include suspension or termination of on-going conversations among the parties, together with notification about the status of the communication channel. The safety response may be communicated to the driver by generating an alert. The in-vehicle and the remote subsystems communicate using a wireless connection and collaborate in engaging the automatic safety response and communicating any alerts to the driver and remote party using notifications.

Systems, methods, and non-transitory computer readable media configured to generate enhanced training information. Training information may be obtained. The training information may characterize behaviors of moving objects. The training information may be determined based on observations of the behaviors of the moving objects. Behavior information may be obtained. The behavior information may characterize a behavior of a given object. Enhanced training information may be generated by inserting the behavior information into the training information.

A vehicle includes an electric machine that generates torque to move wheels of the vehicle, and a controller. The controller operates the electric machine to limit a maximum speed at which the vehicle is driven in reverse such that the maximum speed depends on a number of detected objects behind the vehicle.

A controller of a vehicle, while the vehicle is within a predefined geofenced region and responsive to the vehicle entering park, increases a maximum state of charge threshold for the battery and decreases a minimum state of charge threshold for the battery. The controller also, while the vehicle is located within the predefined geofenced region and responsive to the vehicle exiting park, decreases the maximum state of charge threshold and increases the minimum state of charge threshold.

A road surface information providing apparatus includes an information acquisition unit, a road surface condition estimation unit, a risk map generation unit, and a transmission unit. The information acquisition unit acquires vehicle information from at least one vehicle with a wheel detected as being idling among vehicles that are traveling in a predetermined region, and acquire weather information about a surrounding area around the at least one vehicle. The predetermined region includes the surrounding area around the at least one vehicle. The road surface condition estimation unit generates road surface information about an estimated condition of a road surface in the predetermined region on the basis of the vehicle information and the weather information. The risk map generation unit generates a risk map in which the road surface information is correlated with map information. The transmission unit transmits the risk map to the vehicles traveling in the predetermined region.