This contact prevention device for a construction machine is provided with a ToF camera, an object determination unit, an obstacle information output unit, and a notification device. The ToF camera is provided with a light-emitting unit and a light-receiving unit, and can detect the received light intensity and the timing at which the light-receiving unit receives reflected light, which is light from the light-emitting unit that hits and is reflected by an object. The object determination unit determines the object on the basis of at least the received light intensity. The obstacle information output unit outputs information relating to an obstacle. The notification device makes a notification depending on the output results of the obstacle information output unit. The obstacle information output unit generates information relating to the obstacle on the basis of the distance to the object acquired by the ToF camera and the determination results of the object determination unit.

A method for avoiding a collision of a vehicle with a potential collision object includes defining a safety zone around the potential collision object. The safety zone is located outside a danger zone around the vehicle. The method further includes predicting a trajectory corridor which is covered by the vehicle along a future trajectory and during a certain time period and performing a safety measure on the vehicle in order to avoid a collision of the vehicle with the potential collision object. The safety measure is performed as a function of a geometric comparison of the predicted trajectory corridor with the defined safety zone.

In the present disclosure, a turning control method for a construction machine, a construction machine and a computer device are provided. The turning control method includes: acquiring position information of an initial position and a target position as well as kinematic parameters of the construction machine; determining a turning curve according to the position information and the kinematic parameters; and controlling the construction machine to travel from the initial position to the target position according to the turning curve, wherein a portion of the turning curve in which curvature thereof varies is a transition curve. In this way, the construction machine can achieve continuous changing in curvature during turning, without a spot-turning phenomenon.

A method for determining a recommended maximum load for a vehicle to be operated along a predefined route, includes acquiring road topography data for said predefined route, the road topography data containing information about the topography of the road along said predefined route; determining, based on the acquired road topography data, a respective maximum allowable tire load for each individual tire of the vehicle for said predefined route; and determining, based on the determined maximum allowable tire loads, a recommended maximum load for the vehicle for said predefined route.

The controller determines whether the vehicle is in a shuttle motion from the operating position of the forward/reverse travel operating member and the actual traveling direction of the vehicle. The controller determines a target braking force when the vehicle is in the shuttle motion. The controller determines at least one of a target displacement of the travel pump and a target displacement of the travel motor based on the target braking force.

A method includes: receiving, by a controller of a vehicle, operation data indicative of a duty cycle for the vehicle, wherein the duty cycle is a substantially repeatable set of vehicle or vehicle component operations for a particular event or for a predefined time period; identifying, by the controller, a desired vehicle duty cycle from a population of vehicle duty cycles based on the operation data indicative of the duty cycle for the vehicle and on a desired operating parameter of the vehicle; receiving, by the controller, a set of trim parameters that are electronic operational parameters associated with the desired vehicle duty cycle; and controlling, by the controller, one or more operating points of the vehicle based on the set of trim parameters.

A self-propelled work vehicle is provided with work state estimation and associated control techniques. The work vehicle comprises ground engaging units, a work implement configured for controllably working terrain, and various onboard sensors. A controller is functionally linked to at least the one or more onboard sensors and configured to ascertain a first parameter or operation of the work vehicle, determine a work state of the work vehicle, based at least in part on respective input signals from one or more onboard sensors, and generate a control signal for controlling at least a second parameter or operation of the work vehicle, responsive to the ascertained first parameter or operation and the determined work state. The control signals may be provided for proactive adjustments to engine speed, movements of the work implement, movements of the work vehicle itself, etc.

A system is provided for monitoring spacing during working operation between a first vehicle and at least one further self-propelled vehicle. A beam source is on one vehicle (source vehicle). A sensor arrangement on another vehicle (target vehicle) extends along a sensor axis. In a predetermined reference state, with the vehicles having a predetermined reference spacing apart, the beam source radiates toward the target vehicle electromagnetic radiation such that a predetermined sensor-axial reference detection region on the sensor arrangement is irradiated by the beam source. A change in the vehicle spacing results in a change, along the sensor axis, in the position of the detection region on the irradiated sensor arrangement, and thus in a change in the detection state of the sensor arrangement. Based on the detection state which depends on an actual spacing of the source and target vehicles, a spacing signal is generated with vehicle spacing information.

Systems and methods disclosed herein provide probabilistic decision support regarding detected obstacles in a working area. Real-time data sets are collected from obstacle sensors associated with at least one self-propelled work vehicle, corresponding to detected presence/absence of obstacles at given locations within the working area. The received real-time data sets are integrated in data storage comprising a priori data sets corresponding to the working area, to generate one or more new a priori data sets. Probabilities are determined for the detected presence or absence of the obstacle, and for each of one or more obstacle categories, based on the received real-time data set and at least an a priori data set corresponding to the work vehicle's location. An output corresponding to at least a most likely of the determined probabilities is generated as feedback to a user interface, and/or relevant machine control units.

An on-site test facility and method for validation of an off-road vehicle intervention system onboard an utility vehicle, for example at a mine, using a testing area in the field with a test lane and a computer unit configured to emulate a virtual test object by generating and transmitting a RF-signal corresponding to RF-signal of a real object being in risk of collision with the oversized vehicle when a driver is driving the utility vehicle on the test lane.