A machine control system includes an agricultural work machine having an ECU coupled via a system bus to control engine functions, a GPS receiver, data collector, and specialized guidance system including a stored program. The data collector captures agricultural geospatial data including location data for the work machine and data from the ECU, and executes the stored program to: (a) capture geometries of the farm; (b) capture agricultural geospatial data; (c) automatically classify the agricultural geospatial data using the geometries of the farm, into activity/event categories including operational, travel, and ancillary events; (d) aggregate the classified data to create geospatial data events; (e) match the geospatial data events to a model to generate matched events; (f) use the matched events to generate actionable information for the working machine in real time or near real-time; and (g) send operational directives to the agricultural work machine based on the actionable information.

A system and method are provided for estimating and applying vehicle tire traction. Vehicle data (e.g., movement and location-based data) and tire sensor data are collected at a vehicle and transmitted to a remote computing system (e.g., cloud server). A wear status is determined, and traction characteristics determined for at least one tire, based at least on the vehicle data and the determined tire wear status. The predicted tire traction characteristics are transmitted from the remote computing system to an active safety unit associated with the vehicle, or a fleet management system, wherein the recipient is configured to modify vehicle operation settings based on at least the predicted tire traction characteristics. A maximum speed for the vehicle may be defined by the recipient, or a minimum following distance where, e.g., the vehicle is one of multiple vehicles in a defined platoon.

A system for detecting a vehicular collision (i) receives internal data from at least one internal sensor of a vehicle; (ii) receives external data from at least one external sensor; (iii) determines that a vehicle collision is imminent based upon the received external data; (iv) determines positional information for at least one occupant of a vehicle; and (v) automatically engages an autonomous or semi-autonomous vehicle system to mitigate at least one of vehicle damage and occupant injury caused by the vehicle collision. As a result, the potential injury to at least one occupant is reduced. 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 driver assistance system for a motor vehicle performs a maneuver using a trajectory determined according to an external environment. The vehicle has a plurality of environment sensors and a controller device configured to acquire an environment data set (UDS) using the environment sensors, which it transmits to a cloud computer. The cloud computer reads in the environment data set (UDS), generates a supplemental data set (EDS) for supplementing the environment data set (UDS), combines the environment data set (UDS) with the supplemental data set (EDS) in order to generate a supplemented environment data set (UDS′), and transmits the supplemented environment data set (UDS′) to the controller device. The supplemental data set (EDS) may be obtained by evaluating data of other road users within a predetermined radius of the vehicle. The controller device evaluates the supplemented environment data set (UDS′) for the purpose of controlling the trajectory.

An apparatus and a method for controlling the output of driver information to a driver of a vehicle, with the objective of entertaining the driver and/or the passengers of the vehicle and/or increasing the driver attentiveness of the driver. A database of points of interest or objects of general interest, a database of topographic information, a device for determining the whereabouts of the vehicle, and an evaluation device to which these information items are delivered, are provided. The evaluation device ascertains, from the current whereabouts of the vehicle and from the topographic information, which points of interest or objects of general interest are present in the driver's field of view, and outputs via an output device the driver information regarding the point of interest or the object of general interest which has been ascertained by the evaluation device to be located in the driver's field of view.

Provided is a hybrid vehicle that includes an internal combustion engine and an electric motor, and switches a driving mode between an EV mode and an HV mode. A position of the hybrid vehicle is determined, when determination is made that the hybrid vehicle is within a low emission zone where operation of the internal combustion engine is to be restricted, the operation of the internal combustion engine is stopped, and when determination is made that the hybrid vehicle is within an entrance area adjacent to a boundary of the low emission zone outside the low emission zone, an occupant of the hybrid vehicle is notified that the hybrid vehicle enters or is likely to enter the low emission zone soon.

In a vehicle remote instruction system, a remote commander issues a remote instruction relating to travel of an autonomous driving vehicle based on sensor information from an external sensor that detects an external environment of the autonomous driving vehicle. The vehicle remote instruction system sets a range of information to be transmitted to the remote commander among the sensor information detected by the external sensor, as a limited information range, based on the external situation or an external situation obtained based on map information and a trajectory of the autonomous driving vehicle.

The invention ensures a proper vehicle attitude even if a friction coefficient of a contacted road surface with respect to wheels is small. A driving assist device obtains a first moment that is a moment necessary for an subject vehicle to follow a running course, on the basis of information about a running coursed of an subject vehicle, which is obtained on the basis of external environment information of the subject vehicle, which is acquired by an external environment recognition portion, a first physical quantity associated with a motion state of the subject vehicle, which is inputted by a vehicle motion state detection sensor, and specifications of the subject vehicle, further obtains a second moment that is a moment that can be generated in the subject vehicle on the basis of a friction coefficient of a contacted road surface with respect to the wheels of the subject vehicle, which is acquired by a road surface condition acquisition portion, and a second physical quantity associated with a motion state of the subject vehicle, which is inputted by the vehicle motion state detection sensor, and outputs to a braking control device a command to implement control for making a braking force generated in rear wheels of the wheels greater than a braking force generated in front wheels when the second moment is smaller than the first moment.

A device for detecting a signal generator that is not relevant for motor vehicles determines environment data from one or more environment sensors of at least one motor vehicle during at least one journey at a junction, determines, on the basis of the environment data, information about the position and/or orientation of a plurality of signal generators at the junction with respect to one another and/or with respect to a stop line at the junction. Furthermore, the device identifies at least one non-relevant signal generator from the plurality of signal generators on the basis of the information about the position and/or orientation.

A method for operation of fleet vehicles includes collecting a set of inputs; processing the set of inputs to determine a set of actions associated with a vehicle and/or a site; and triggering the set of actions. Additionally or alternatively, the method can include aggregating any or all of the set of inputs, and/or any other suitable processes. A system for operation of fleet vehicles can include and/or interface with any or all of: a computing subsystem, a set of management subsystems, a set of user interfaces, a set of sensors, a set of fleet vehicles, a set of non-fleet vehicles, and/or any other components.