Various technologies described herein pertain to controlling an autonomous vehicle to provide indicators that signal a driving intent of the autonomous vehicle. The autonomous vehicle includes a plurality of sensor systems that generate a plurality of sensor signals, a notification system, and a computing system. The computing system determines that the autonomous vehicle is to execute a maneuver that will cause the autonomous vehicle to traverse a portion of a driving environment of the autonomous vehicle. The computing system predicts that a person in the driving environment is to traverse the portion of the driving environment based upon the plurality of sensor signals. The computing system then controls the notification system to output a first indicator indicating that the autonomous vehicle plans to yield to the person or a second indicator indicating that the autonomous vehicle plans to execute the maneuver prior to the person traversing the portion of the driving environment.

A computing device-implemented method comprises receiving information representative of a state of charge of an energy storage device of a vehicle that includes an alternative fuel propulsion system, receiving information representative of a performance measure of the vehicle for a period of time, receiving information representative of a position of an accelerator pedal of the vehicle, determining an amount of torque required by a second propulsion system to send to a driveshaft of the vehicle from the received information representative of a position of a pedal, determining an amount of torque assistance required to send to a driveshaft of the vehicle from the alternative fuel propulsion system included in the vehicle from the information representative of a performance measure of the vehicle and the information representative of the state of charge, and adjusting an amount of torque required by a second propulsion system using the determined torque assistance.

In a control device of a hybrid vehicle including an engine, a rotating machine, a power transmission device, and an electric oil pump, the control device comprising: a state determining portion; an electric oil pump control portion performing a test operation of the electric oil pump for determining whether the electric oil pump operates normally when it is determined that the measured temperature of the oil allows the electric oil pump to operate normally; and an engine control portion, the electric oil pump control portion performs the test operation of the electric oil pump in a predetermined period after a power supply state of the hybrid vehicle is switched to a power-on state enabling the vehicle to run and before the hybrid vehicle actually starts running, and when the test operation of the electric oil pump is performed in the predetermined period, the engine control portion starts the engine.

A braking force controller causes a first actuator unit to generate a target jerk when the target jerk is equal to or larger than a first jerk, causes the first actuator unit to generate the first jerk and a second actuator unit to generate a jerk obtained by subtracting the first jerk from the target jerk as an additional jerk when the target jerk is smaller than the first jerk and equal to or larger than the sum of the first jerk and a second jerk, and causes the first actuator unit to generate the first jerk and the second actuator unit to generate the second jerk as the additional jerk when the target jerk is smaller than the sum of the first jerk and the second jerk.

A computer, including a processor and a memory, the memory including instructions to be executed by the processor to generate a first color image of a road environment, determine one or more value decompositions of one or more of the red, green, and blue channels of the first color image, obtain one or more modified singular value decompositions by modifying respective ones of the singular value decompositions by a non-linear equation and reconstruct a second color image based on the modified one or more singular value decompositions. The instructions can include further instructions to train a deep neural network based on the second color image and operate a vehicle based on the deep neural network.

The present disclosure relates to a method for generating training data for a recognition model for recognizing objects in sensor data of a vehicle. First sensor data and second sensor data are input into a learning algorithm. The first sensor data comprise measurements of a first surroundings sensor. The second sensor data comprise a measurements of a second surroundings sensor. A training data generation model is generated, using learning algorithm, that generates measurements of the second surroundings sensor assigned to measurements of the first surroundings sensor. First simulation data are input into the training data generation model. The first simulation data comprise simulated measurements of the first surroundings sensor. Second simulation data are generated as the training data based on the first simulation data using the training data generation model. The second simulation data comprise simulated measurements of the second surroundings sensor.

A multi-layer control mechanism for optimizing performance metrics of a hybrid electric vehicle (e.g., fuel efficiency, drivability, NVH). A first layer generates a policy that defines target engine & motor operating settings for each of a plurality of possible driver demand inputs based on a predicted driver demand profile for a long-horizon period of time. A second layer determines a predicted “short-horizon” driver demand—based, for example, on historical driver data and one or more environmental sensor inputs—and applies a corrective pre-adjustment to the operating settings of the vehicle in response to determining that a pre-adjustment is required in order to apply the target operating settings for the predicted driver demand. A third layer determines constraints to the operating settings required to comply with the additional performance parameters and limits the operating settings applied to the engine and motor(s) to feasible operating settings defined by the constraints.

A vehicle control apparatus to be applied to a vehicle includes an electric motor, a brake mechanism, and a control system. The control system increases a friction braking force of the brake mechanism while reducing a regenerative braking force of the electric motor, in deceleration traveling performed in a low vehicle speed range where a vehicle speed of the vehicle is less than a first threshold in a state in which an accelerator operation and a brake operation performed by a driver who drives the vehicle are canceled. The control system corrects correlation data between a control instruction value indicated to the brake mechanism and the friction braking force generated by the control instruction value, by using, as a trigger, a situation in which a change rate of a vehicle acceleration of the vehicle exceeds a second threshold in the deceleration traveling in the low vehicle speed range.

An assistance system for assisting the driver of a motor vehicle when positioning the motor vehicle at a predefined target position is provided. The target position is preferably a charging position for wireless, in particular inductive, charging of the motor vehicle. In order to position the motor vehicle, the longitudinal movement of the vehicle can be controlled manually by one or more operator control elements (e.g., accelerator pedal, brake pedal) which can be actuated by the driver. The assistance system assists the manual longitudinal control during positioning. The assistance system serves to influence the manual longitudinal control. By influencing the manual longitudinal control, the assistance system counteracts, as a function of the respective position information, the longitudinal movement of the vehicle at least for certain relative positions, in order to bring the vehicle to a stop essentially at the target position.

A fire fighting vehicle includes a chassis, a front axle, a rear axle, an engine, a battery system, an electromagnetic device, an accessory drive, and a controller. The accessory drive is positioned to receive a mechanical input from the engine and the electromagnetic device. The controller is configured to selectively engage a plurality of operational modes including a standby mode and a hybrid mode. According to the standby mode, the controller is configured to operate the electromagnetic device using stored energy stored in the battery system to drive the accessory drive with the engine off. According to the hybrid mode, the controller is configured to operate both the engine and the electromagnetic device.