In some aspects, a device of a vehicle may obtain information relating to an environment in which the vehicle is located. The device may determine using a machine learning model, a driving context of the vehicle based at least in part on the information relating to the environment, and a set of hyperparameters for a model, that is used to determine a driving behavior for the vehicle, based at least in part on the driving context. The device may determine, using the model configured with the set of hyperparameters, the driving behavior for the vehicle. The device may cause autonomous operation of the vehicle in accordance with the driving behavior. Numerous other aspects are described.

Sensor data indicating a substantially 360 degree surrounding of a vehicle is received via a processor included in the vehicle. The sensor data is collected using multiple sensors included in the vehicle. Additionally, an acceptable response time range for a driver of the vehicle to perform an action with the vehicle is obtained, via the processor, based on the sensor data. Additionally, an actual response time for the driver to perform the action is determined, via the processor, based on CAN data collected from a CAN bus included in the vehicle, and not based on the sensor data. Additionally, a determination is made, via the processor, that the actual response time is not within the acceptable response time range. Additionally, a remedial action is caused, via the processor, to be performed in response to the determining that the actual response time is not within the acceptable response time range.

Techniques are discussed for controlling a vehicle, such as an autonomous vehicle, based on predicted occluded areas in an environment. An occluded area can represent areas where sensors of the vehicle are unable to sense portions of the environment due to obstruction by another object. A first occluded region for an object is determined at a first time based on a location of the object. A predicted location for the object can be used to determine a predicted occluded region caused by the object at a second time after the first time. Predicted occluded regions can be determined for multiple trajectories for the vehicle to follow and/or at multiple points along such trajectories, and a trajectory can be selected based on associated occlusion scores and/or trajectory scores associated therewith. The vehicle can be controlled to traverse the environment based on the selected trajectory.

A processor associated with a vehicle receives sensor data from a plurality of sensors associated with a vehicle, where each sensor generates data corresponding to a different parameter of a passenger in the vehicle. Based on the sensor data, one or more primitive emotional indications are generated. The processor applies a model to the one or more primitive emotional indications that when applied outputs a contextualized emotional indication associated with the passenger that includes an assessment of an emotional state of the passenger and a reason for the emotional state. A contextual response is selected based on the contextualized emotional indication, and the processor causes an output by the vehicle to enact the contextual response.

The present embodiments relate to selection and execution of one or more output actions relating to a modification of at least one feature of a vehicle. A series of sensors on a vehicle can acquire data that can be used to identify vehicle environment characteristics indicative of a status of a vehicle environment and an emotional state of the user. The vehicle environment characteristics and the emotional state can be processed using a user model that corresponds to a user to generate one or more selected output actions. The output actions can be executed on the vehicle to increase user experience. The output actions can relate to any of entertainment features, safety features, and/or comfort features of the vehicle.

A system and approach for a vehicle system. The vehicle system may include a vehicle, a propulsion device (e.g., a combustion engine or electric motor), and a controller. The propulsion device may at least partially power the vehicle. The controller may be in communication with the propulsion device and may control the propulsion device according to a target speed of the vehicle. The controller may include a model of energy balances of the vehicle and may use the model to estimate energy losses over a travel horizon of the vehicle. The controller may optimize a cost function over the travel horizon of the vehicle based at least in part on the estimated energy losses to set an actual speed for the vehicle. The estimated energy losses may include one or more of aerodynamic drag, vehicle friction, and conversion efficiency from the propulsion device.

A motor vehicle cruise control system includes: an arithmetic unit configured to calculate a physical momentum of a traveling device for achieving a target motion of a motor vehicle that is traveling along a traveling route generated, based on an output from a vehicle exterior information acquisition device; and a device controller configured to generate, and output, an actuation control signal for the traveling device in the motor vehicle, based on an arithmetic result obtained by the arithmetic unit. Driving operation information on an operation performed by a driver is input to both the arithmetic unit and the device controller in parallel. The arithmetic unit is configured to reflect the driving operation information in a process of determining the target motion. The device controller is configured to reflect the driving operation information in the control of the actuation of the traveling device.

A system is provided for performing an automated electrification operation for an electric vehicle (102) using a processor (122). An electrification controller (126) communicates with a model generation unit (128). The model generation unit (128) generates a model representative of a power consumption trend of the electric vehicle (102). The electrification controller (126) sets a target power margin for the electric vehicle (102) based on the model such that the target power margin is close to a minimum state-of-charge (SOC) threshold of an energy storage supply (124) of the electric vehicle (102). The target power margin represents a difference between the minimum SOC threshold and an ending power level of the energy storage supply (124) after completion of a mission associated with the electric vehicle (102). The processor (122) performs the automated electrification operation for the electric vehicle (102) based on the target power margin.

A vehicle cruise control device includes: an arithmetic circuitry and a device circuitry that controls actuation of traveling devices mounted in a vehicle. The arithmetic circuitry is configured to recognize a vehicle external environment; set a route to be traveled by the vehicle; determine a target motion of the vehicle to follow the set route; and generate an image to be displayed for driving assistance, by using an image taken by the camera and information on the recognized vehicle external environment. The control circuitry is configured to control actuation of one or more traveling devices mounted in the vehicle, based on the target motion determined.

Torque distribution control systems and methods for through-the-road electrified vehicles having distinct first and second torque generating systems for distinct first and second axles, respectively, utilize existing vehicle sensors to (i) obtain measured wheel rotational speeds and a measured steering wheel angle, (ii) estimate virtual yaw rates of the first and second axles using these measured values and other known vehicle parameters, (ii) predict whether oversteer or understeer of the vehicle is likely to occur based on the estimated first and second axle virtual yaw rates, and (iv) when oversteer or understeer of the vehicle is predicted to occur, adjust a torque distribution between the first and second torque generating systems to prevent the oversteer or understeer from occurring and to keep the vehicle on a constant turn path.