A vehicle control apparatus is mounted in a vehicle and includes: an object detecting unit that detects an object in a travelling direction of the vehicle; and a suppressing unit that suppresses driving force of the vehicle when the object detecting unit detects the object. The suppressing unit performs a first process to gradually increase the driving force when a command to move in the travelling direction is issued and the vehicle is stopped in a state in which the driving force of the vehicle is suppressed, and after the vehicle starts to move from the stopped state, performs a second process to gradually increase the driving force with an amount of increase per time in the driving force that is less than that in the first process.

A driver assistance system plans movement for a motor vehicle, wherein a safe state of the motor vehicle is a state of the motor vehicle in a first time step from which the motor vehicle can be transferred, as a function of a movement capability of the motor vehicle in at least one second time step which follows the first time step, into a further safe state without colliding with a road user. The driver assistance system is configured to determine for at least one future time step starting from a current state of the motor vehicle, at least one possible future state of the motor vehicle and of the road user, and to select safe future states of the motor vehicle from the possible future states of the motor vehicle and of the road user, and to plan a movement for the motor vehicle as a function of the safe future states.

An example calibration system may include a tractor and a calibration unit. The tractor may include a first sensor and a second sensor. The calibration unit may include a processing unit and a non-transitory computer-readable medium containing instructions to direct the processing unit to: (1) determine a first estimate for a tractor parameter based upon signals received from the first sensor; (2) determine a second estimate for the tractor parameter based upon signals received from the second sensor; (3) determine a third estimate for the tractor parameter based upon a combination of the first estimate and the second estimate; (4) determine a tractor parameter correction based upon the second estimate and the third estimate; and (4) apply the tractor parameter correction to the second sensor to control positioning of the tractor.

Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes obtaining sensor data indicative of a surrounding environment of the autonomous vehicle, the surrounding environment including one or more occluded sensor zones. The method includes determining that a first occluded sensor zone of the occluded sensor zone(s) is occupied based at least in part on the sensor data. The method includes, in response to determining that the first occluded sensor zone is occupied, controlling the autonomous vehicle to travel clear of the first occluded sensor zone.

To provide a technique for reliably acquiring a required braking power during travel and for efficiently using a regenerative power generated during braking. A work vehicle calculates a regenerative power outputted from an electric motor and a target hydraulic driving power for driving a hydraulic pump, supplies the regenerative power to the generator motor operating as a motor and makes the generator motor consume the regenerative power in a case where the regenerative power is equal to or smaller than the target hydraulic driving power, and supplies the regenerative power to the generator motor operating as the motor and makes an exhaust brake consume a power equivalent to a difference between the regenerative power and the target hydraulic driving power in a case where the regenerative power is larger than the target hydraulic driving power.

Embodiments of the present disclosure disclose a method for controlling an autonomous vehicle to pass through a curve, a device and a medium, and relate to the field of autonomous driving technologies. At least one implementation of the method for controlling an autonomous vehicle to pass through a curve includes: determining a curve boundary within a sensing area in a current driving direction of the autonomous vehicle based on a current position of the autonomous vehicle on the curve; determining a current safe stopping distance of the autonomous vehicle on the curve based on current driving parameters of the autonomous vehicle and the curve boundary; determining a speed threshold of the autonomous vehicle based on the current safe stopping distance, braking parameters of the autonomous vehicle and a curve curvature corresponding to the current position; and controlling a speed of the autonomous vehicle not to exceed the speed threshold.

Provided is a mobile body control system capable of improving both the comfort of passengers in each mobile body and the efficiency of cargo transport when a plurality of mobile bodies travel in a formation. A mobile body control system (1) causes a plurality of mobile bodies (21) to travel in a formation along a preset travel route, and comprises a preceding/succeeding acceleration calculation unit (S49) that calculates a preceding/succeeding acceleration of a preceding mobile body (21_n) and a succeeding mobile body (21_n+1) on the travel route. The preceding/succeeding acceleration calculation unit adjusts a gain E of an arithmetic expression used to calculate the preceding/succeeding acceleration on the basis of information about a transported object being transported by each mobile body (21).

Systems and methods for estimating values of dynamic attributes of autonomous vehicles are disclosed. A first vehicle includes an inertial measurement unit (IMU) configured to measure a dynamic attribute (e.g., rate of change of vehicle yaw angle) and correlate the measured attribute with one or more input variables (e.g., values of steering angle commands). The correlated data is used to generate a model that can be used in a second vehicle to predict a dynamic attribute based at least in part on variable values input from the second vehicle. As a result, it is not necessary for the second vehicle to have an IMU.

A display device for a vehicle includes: an image display unit configured to display a direction indicating image that indicates a travel direction of the vehicle; and a control device configured to execute travel control of the vehicle. The direction indicating image is switchable between a first image that indicates a first travel direction of the vehicle and a second image that indicates a second travel direction of the vehicle, the second travel direction being opposite to the first travel direction. In a case where the control device switches the travel direction of the vehicle from the first travel direction to the second travel direction, the image display unit switches the direction indicating image from the first image to the second image based on a vehicle speed of the vehicle, a state of a power transmission device, and a steering state of the vehicle.

A travel control device includes: a risk level calculation unit configured to acquire a speed in a traveling direction of a vehicle, a speed of the vehicle in a horizontal direction perpendicular to the traveling direction, and an azimuth angular velocity of the vehicle and calculate a rollover risk level based on a lateral load transfer ratio (LTR) of the vehicle; a deceleration calculation unit configured to calculate deceleration indicating an extent to which to lower the speed in the traveling direction when an absolute value of the rollover risk level exceeds a threshold value; and a control unit configured to control a driving system of the vehicle using a value obtained by lowering a target speed of the vehicle on the basis of the deceleration as a new target speed.