The disclosure generally relates to methods for assisting a driver of a vehicle that include monitoring the driver’s actions, during a first portion of time that starts when the driver begins to engage in a surveillance type action and ends when the driver ends the surveillance type action, activating one or more feedback devices, when the driver engages in a surveillance type action, monitoring the driver’s actions during a second portion of time that beings when the driver ends the surveillance type action, and ends when the driver begins the surveillance type action, and activating one or more feedback devices, during the second portion of time when the driver engages in a driving maneuver and fails to engage in the surveillance type action.

A vehicle control method as executed includes acquiring surrounding information of the subject vehicle by a sensor includes, specifying an entry position located on a second lane adjacent to a first lane where the subject vehicle travels in accordance with the surrounding information of the subject vehicle, specifying a front vehicle located front the entry position and a rear vehicle located rear the entry position, determining the travel state of each of the front vehicle and the rear vehicle, determining whether there is a space for the subject vehicle to enter at the entry position, predicting whether the front vehicle starts to travel when the front vehicle and the rear vehicle are determined to be stopped and no space is determined at the entry position, and starting to move the subject vehicle to the entry position when the front vehicle is predicted to start traveling.

The invention relates to a method for predicting a future driving situation of a foreign object, in particular a foreign vehicle, participating in road traffic, in which at least one first item of information is sensed which corresponds to at least one sensed first foreign object (3) participating in road traffic, and in which the first foreign object (3) is assigned to an object class on the basis of the first item of information. According to the invention, at least one second item of information is sensed, which corresponds to at least one sensed second foreign object (4) participating in road traffic and situated within the surroundings of the first foreign object (3), wherein the second foreign object (4) is assigned to an object class on the basis of the second item of information, and wherein a future position, a future driving speed and/or a future trajectory of the first foreign object (3) are predicted as future driving situations of the first foreign object (3) on the basis of the object class of the first foreign object (3) on the one hand and the object class of the second foreign object (4) on the other hand.

A sensor detects a variable indicative of a position of a receiving vehicle relative to a harvester during a harvester operation in which a material conveyance subsystem on the harvester is conveying harvested material to the receiving vehicle. If the receiving vehicle is in a compromised position in which it is out of range of the material conveyance subsystem or is about to be out of range, then a control signal is generated that can alert the operator of the harvester, automatically control harvester speed, or perform other control operations.

A system for controlling platooning by a following vehicle includes a main body of the following vehicle. The system further includes a pressure sensor located in or on the main body and configured to detect a pressure corresponding to a pressure wake from a leading vehicle. The system further includes an electronic control unit (ECU) located in or on the main body, coupled to the pressure sensor, and configured to determine an optimal distance from the following vehicle to the leading vehicle based on the detected pressure. The optimal distance corresponding to a distance at which drag applied to the following vehicle is reduced based on the pressure wake from the leading vehicle.

Devices and methods for determining an action in the presence of road users are provided in this disclosure. A device may include a processor. The processor may be configured to access environment information including an indication of a size of road users intersecting with a predetermined route of a vehicle in a road environment. The processor may further be configured to prioritize an anticipated movement of at least one of the road users over a predicted movement of the vehicle within the predetermined route based on the size of road users. The processor may further be configured to determine a vehicle action allowing the anticipated movement of the at least one road user.

A first fuel consumption value is determined for operating a host vehicle in a current lane on a road. A lead vehicle operating in front of the host vehicle and in a target lane on the road is identified based on a speed of the lead vehicle being greater than a first threshold and less than or equal to a second threshold. The second threshold is greater than the first threshold. A second fuel consumption value is predicted for operating the host vehicle at a specified distance behind the lead vehicle in the target lane based on the speed of the lead vehicle. The host vehicle is operated at the specified distance behind the lead vehicle in the target lane based on the predicted second fuel consumption value being greater than the first fuel consumption value.

A vehicle control method for controlling a vehicle using a vehicle control apparatus includes: a sensor configured to detect a state outside a subject vehicle; and a control device. The vehicle control method includes: executing control of recovering a travel trajectory of the subject vehicle to a target trajectory, as ordinary control, by giving a steering amount in a lateral direction with respect to a travel lane of the subject vehicle; using detection data of the sensor to determine whether or not another vehicle is traveling in an adjacent lane to the travel lane of the subject vehicle; and when determining that the other vehicle is traveling in the adjacent lane ahead of the subject vehicle, increasing a response of the steering amount to a higher response than that in the ordinary control, before the subject vehicle passes the other vehicle.

A system for reconstructing a vehicular crash (i) receives sensor data of a vehicular crash from at least one mobile device associated with a user; (ii) generates a scenario model of the vehicular crash based upon the received sensor data; (iii) transmits the scenario model to a user computer device associated with the user; (iv) receives a confirmation of the scenario model from the user computer device; (v) stores the scenario model; and (vi) may generate at least one insurance claim form based upon the scenario model. As a result, the speed and accuracy of the claim processing 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.

A method, an apparatus, a device and a computer storage medium for vehicle control are disclosed. The method includes: obtaining information about an obstacle to be recognized around an autonomous vehicle scanned with a LiDAR; performing obstacle recognition using the information about the obstacle to be recognized; determining a roadside blind region of the autonomous vehicle based on a result of the obstacle recognition; judging a risk of collision between the autonomous vehicle and a traffic participant appearing from the roadside blind region; and controlling the travel of the autonomous vehicle according to a result of the judgment.