A vehicle system includes an electronic control unit. The electronic control unit is configured to execute a first program, a second program, and a third program. The first program is configured to recognize an object present around a vehicle, the second program is configured to store information related to the recognized object as time-series map data, and the third program is configured to predict a future position of the object based on the stored time-series map data. The first program and the third program are configured to be (i) first, individually optimized based on first training data corresponding to output of the first program and second training data corresponding to output of the third program, and (ii) then, collectively optimized based on the second training data corresponding to the output of the third program.

The present disclosure provides an emergency braking system, an emergency braking method and a semitrailer, capable of improving the braking effect of the vehicle, thereby achieving improved safety for the vehicle. The system includes: a sensor component configured to collect sensed information on an environment where a semitrailer is located; and a braking controller configured to determine whether there is a risk of collision for the semitrailer based on the sensed information, and if so, calculate a maximum adhesive force that can be provided by a road surface the semitrailer is currently on, determine a first braking pressure corresponding to each wheel based on the maximum adhesive force and axle load information, and transmit to a braking system a first braking instruction carrying the first braking pressure for each wheel.

The present disclosure relates to systems and methods for autonomous driving. The systems may obtain driving information associated with a vehicle; determine a state of the vehicle; determine one or more candidate control signals and one or more evaluation values corresponding to the one or more candidate control signals based on the driving information and the state of the vehicle by using a trained control model; select a target control signal from the one or more candidate control signals based on the one or more evaluation values; and transmit the target control signal to a control component of the vehicle.

A control device for a vehicle as at least one input for vehicle data of the vehicle and at least one output for manipulated values for actuators of the vehicle. The control device is configured to determine manipulated values for the actuators of the vehicle on the basis of a first single track model for the vehicle and of a second single track model for a reference vehicle in order to approximate the side forces of the vehicle in the first single track model to the side forces of the reference vehicle in the second single track model.

Aspects of the present disclosure relate switching between autonomous and manual driving modes. In order to do so, the vehicle's computer may conduct a series of environmental, system, and driver checks to identify certain conditions. The computer may correct some of these conditions and also provide a driver with a checklist of tasks for completion. Once the tasks have been completed and the conditions are changed, the computer may allow the driver to switch from the manual to the autonomous driving mode. The computer may also make a determination, under certain conditions, that it would be detrimental to the driver's safety or comfort to make a switch from the autonomous driving mode to the manual driving mode.

A vehicle control device includes: a first detection unit that detects a traveling state of a host vehicle; a merging detection unit that detects that the host vehicle approaches within a predetermined area of a merging point when the host vehicle travels on the merging road toward the merging point at which a main road joins with the merging road; a second detection unit that detects a speed of a lane flow by another vehicle that travels on the main road toward the merging point; a position detection unit that obtains a position of a pre-merging point as a virtual point on the main road reaching the merging point when the host vehicle reaches the merging point; and a display control unit that controls a display device to display the position of the host vehicle and the pre-merging point.

A vehicle control apparatus includes: a first detection part that detects a peripheral vehicle which is traveling around a vehicle; a control plan generation part that is configured to generate a control plan of the vehicle according to the peripheral vehicle; and a travel control part that is configured to control acceleration, deceleration, or steering of the vehicle according to the control plan, wherein the control plan generation part generates the control plan of the vehicle according to a peripheral vehicle that satisfies a predetermined condition among one or more peripheral vehicles that are detected by the first detection part, and wherein when it is not possible to detect the peripheral vehicle that satisfies the predetermined condition, the control plan generation part is configured to set a virtual vehicle which virtually simulates the peripheral vehicle that satisfies the predetermined condition and generate the control plan of the vehicle.

A system for notifying emergency services of a vehicular crash may (i) receive sensor data of a vehicular crash from at least one mobile device associated with a user; (ii) generate a scenario model of the vehicular crash based upon the received sensor data; (iii) store the scenario model; and/or (iv) transmit a message to one or more emergency services based upon the scenario model. As a result, the speed and accuracy of deploying emergency services to the vehicular crash location is increased. The system may also utilize vehicle occupant positional data, and internal and external sensor data to detect potential imminent vehicle collisions, take corrective actions, automatically engage autonomous or semi-autonomous vehicle features, and/or generate virtual reconstructions of the vehicle collision.

One or more devices, systems, and/or methods for controlling a motor vehicle based upon wind are provided. For example, a first measurement of wind detected by a first sensor coupled to the motor vehicle may be received from the first sensor. A second measurement of wind associated with a location of the motor vehicle may be received from a server. A wind effect (e.g., cost, inefficiency, danger, etc.) on the motor vehicle may be determined based upon the first measurement of wind and/or the second measurement of wind. A corrective action for the motor vehicle may be determined based upon the wind effect, and may be implemented on the motor vehicle.

A driver state determination unit of a drive mode switching control device regularly or irregularly determines whether a driver's state is a state of being able to perform a driving operation in a manual drive mode. The drive mode switching control device determines whether an operation performed by the driver is an emergency override operation or a non-emergency override operation. The drive mode switching control device outputs a switching signal for switching an automatic drive mode to the manual drive mode when a determination result by the driver state determination unit immediately before detection of the emergency override operation is that a driver's state is a state of being able to perform a driving operation in the manual drive mode.