Abstract: A method in a vehicle includes receiving a vehicle-to-infrastructure (V2I) message transmitted from a communication system affixed to infrastructure at a location. The V2I message includes at least one category of information among a plurality of categories of information and the plurality of categories of information include map-based information and road safety information. The method also includes determining, based on performing at least one type of verification, whether a misbehavior has occurred with respect to the V2I message. The misbehavior indicates incorrect information in the V2I message. A counter is maintained of a number of times the misbehavior has occurred with respect to the V2I message at the location, and the misbehavior is reported based on the counter.

Abstract: A device for sensing a physical parameter includes a sensor element configured for measuring the physical parameter and for outputting a corresponding measured signal, wherein the measured signal is influenceable by a sensor drift of the sensor element. The device includes a corrector for correcting the measured signal output by the sensor element to obtain a corrected signal, wherein the corrector is configured for evaluating the measured signal to determine a drift effect of the sensor drift on the measured signal and for correcting the measured signal so as to at least partially compensate for the drift effect. The device includes a signal output configured for outputting the corrected signal.

Abstract: A common command and control architecture (alternatively termed herein as a “universal control architecture”) is disclosed that allows different unmanned systems, including different types of unmanned systems (e.g., air, ground, and/or maritime unmanned systems), to be controlled simultaneously through a common control device (e.g., a controller that can be an input and/or output device). The universal control architecture brings significant efficiency gains in engineering, deployment, training, maintenance, and future upgrades of unmanned systems. In addition, the disclosed common command and control architecture breaks the traditional stovepipe development involving deployment models and thus reducing hardware and software maintenance, creating a streamlined training/proficiency initiative, reducing physical space requirements for transport, and creating a scalable, more connected interoperable approach to control of unmanned systems over existing unmanned systems technology.

Abstract: A system to predict a startup condition of an auxiliary power unit (APU) of an aircraft includes a machine learning device configured to receive data including sensor data of the aircraft and weather forecast data of a destination airport. The machine learning device is also configured to process the data to generate a prediction regarding the startup condition and to generate a message based on the prediction. The message indicates that an alternate startup procedure of the APU is to be performed after the aircraft has landed at the destination airport to avoid an error condition associated with a primary startup procedure of the APU.

Abstract: In an approach to collaborative accident prevention, that a first vehicle is approaching an intersection is detected. A first vehicle information vector is broadcast from the first vehicle, where the first vehicle information vector contains at least a first vehicle speed, a first vehicle position, and a first vehicle direction. Responsive to receiving a second vehicle information vector from a second vehicle, an optimal order to cross the intersection is calculated based on the first vehicle information vector and the second vehicle information vector. A first adjusted vehicle speed is signaled to the first vehicle and a second adjusted vehicle speed is signaled to the second vehicle based on the optimal order to cross the intersection.

Abstract: A method and apparatus for level of service assessment at signalized intersections is disclosed. In an exemplary embodiment, a method for estimating an average delay per vehicle at a signalized intersection with a traffic signal, including sampling vehicle arrival rates at the signalized intersection, sampling vehicle departure rates at the signalized intersection, analyzing generated shock waves at the traffic signal, wherein the traffic signal shock wave is a change in vehicle density due to changes in the traffic signal, and estimating the average delay per vehicle based on the vehicle arrival rates, the vehicle departure rates, and the traffic shock waves at the signalized intersection.

Abstract: An hydraulic excavator calculates an estimated excavation volume Va defined by a bucket claw tip position (first position) at an excavation start, a bucket claw tip position (second position) at an excavation end set in advance, a current landform, a first target surface, and a bucket width w. A second target surface is generated at a position superior to the first target surface when the estimated excavation volume Va exceeds a limit volume Vb; and the second target surface is generated at a position at which the excavation volume defined by the first position, the second position, the current landform, the second target surface, and the bucket width is closer to the limit volume Vb. The hydraulic actuators are controlled such that an operating range of a work implement is limited on the second target surface and to an area superior to the second target surface.

Abstract: Systems and methods are disclosed for estimating slipperiness of a road surface. This estimate may be obtained using an image sensor mounted on a vehicle. The estimated road slipperiness may be utilized when calculating a risk index for the road, or for an area including the road. If a predetermined threshold for slipperiness is exceeded, corrective actions may be taken. For instance, warnings may be generated to human drivers that are in control of driving vehicle, and autonomous vehicles may automatically adjust vehicle speed based upon road slipperiness detected.

Abstract: The present disclosure relates to a computing system comprising at least one computing device of at least one motor vehicle, and a cloud comprising at least one computing device, at least one application calculating output data from input data being implemented in a divided manner at least partially by the motor vehicle computing device and at least partially on the cloud side.

Abstract: An agricultural planter is configured to be moved over a supporting surface by a vehicle. The agricultural planter includes a frame and a planter assembly coupled to the frame. A first propulsion assembly is coupled to the frame at a first position with the first propulsion assembly having a first traction member configured to engage the supporting surface. A second propulsion assembly is coupled to the frame at a second position with the second propulsion assembly having a second traction member configured to engage the supporting surface. A drive assembly is operably coupled to at least one of the first or second propulsion assemblies and configured to drive at least one of the first or second traction members during operation of the planter assembly. The first traction member is configured to be driven independently of the second traction member.

Abstract: A system and method for path and/or motion planning and for training such a system are described. In one aspect, the method comprises generating a sequence of predicted occupancy grid maps (OGMs) for T?T1 time steps based on a sequence of OGMs for 0?T1 time steps, a reference map of an environment in which an autonomous vehicle is operating, and a trajectory. A cost volume is generated for the sequence of predicted OGMs. The cost volume comprises a plurality of cost maps for T?T1 time steps. Each cost map corresponds to a predicted OGM in the sequence of predicted OGMs and has the same dimensions as the corresponding predicted OGM. Each cost map comprises a plurality of cells. Each cell in the cost map represents a cost of the cell in corresponding predicted OGM being occupied in accordance with a policy defined by a policy function.

Abstract: System, method, and media for providing navigation of an affective vehicle environment to an occupant (such as a driver) of a vehicle. Sensors in and on the vehicles in the affective environment may detect characteristics of the occupants of the vehicle and stress levels may be assigned to the occupants. The navigation may be based at least in part on the location and destination of the vehicles in the affective environment and the stress levels of the occupants of the vehicles.

Abstract: Devices, systems and methods for fusing scenes from real-time image feeds from on-vehicle cameras in autonomous vehicles to reduce redundancy of the information processed to enable real-time autonomous operation are described. One example of a method for improving perception in an autonomous vehicle includes receiving a plurality of cropped images, wherein each of the plurality of cropped images comprises one or more bounding boxes that correspond to one or more objects in a corresponding cropped image; identifying, based on the metadata in the plurality of cropped images, a first bounding box in a first cropped image and a second bounding box in a second cropped image, wherein the first and second bounding boxes correspond to a common object; and fusing the metadata corresponding to the common object from the first cropped image and the second cropped image to generate an output result for the common object.

Abstract: A selectable vehicle profile for an electrified vehicle (EV) may be communicated to a vehicle controller to modify vehicle acceleration, generate simulated engine sounds, customize the look and feel of a vehicle instrument cluster/panel display and/or human-machine interface(s) (HMI) (including gages, menus, displays, colors etc.), control transmission simulated shift schedule and feel, control active suspension/ride control, and similar features so that the EV operates to provide a driving experience similar to a previously profiled vehicle, such as a non-electrified vehicle. Vehicle profiles may be generated by an OEM or after-market supplier based on actual measurements and/or specifications associated with operation of a particular non-electrified vehicle. The vehicle profile may be licensed for download to the EV, and/or made available through a subscription service, for example.

Abstract: The disclosure relates to managing a fleet of autonomous vehicles. For instance, a method may include receiving, from a plurality of the autonomous vehicles of the fleet, reports identifying locations of detected puddles. A miles per puddle rate may be determined based on the received reports. An operating policy for the fleet may be determined based on the miles per puddle rate. An instruction may be sent to one or more of the autonomous vehicles of the fleet in order to implement the operating policy.

Abstract: A power steering apparatus has a first actuator provided as a multi-phase rotating electric machine and disposed on a steering column side of an intermediate shaft and a second actuator disposed on a rack gear side thereof. A first ECU controls a drive of the first actuator and detects an abnormality of the first actuator. The first ECU changes an output of the first actuator based on a notification from a communication bus. The first ECU performs an initial diagnosis of the first actuator at a vehicle startup time for detecting abnormality, by supplying an electric power to the first actuator for not providing a torque to a steering wheel.

Abstract: In a vehicle control apparatus, a controller for controlling a travelling of a vehicle is configured to obtain attribute information about at least one occupant from reservation information, the reservation information including information about the at least one occupant who has made a reservation for the vehicle, and set a travelling characteristic of the vehicle based on the attribute information about at least one occupant.

Abstract: A system and method to transport one or more persons or objects. The system includes pods that each have an interior space to house the one or more persons or objects, and vehicles that are each configured to individually connect to one or more of the pods and to transport the pods from a first location to a second location. A server is located remotely from the pods and the vehicles. The server is configured to receive data from the pods and the vehicles through a wireless communication network to monitor a usage and location of the pods.

Abstract: A method for overriding a driving mode in an automatic longitudinal guidance mode of a motor vehicle includes setting a longitudinal guidance mode in the motor vehicle, providing a target speed for a journey event in the longitudinal guidance mode, manually overriding the target speed when the journey event is driven through by the motor vehicle, and aborting of the longitudinal guidance mode if the target speed of the journey event cannot be achieved within a settable delay.

Abstract: This document describes target curvature estimation considering vehicle dynamics constraints. Some vehicle dynamics models use several kinematic states to predict the paths of targets identified by an object-tracking system. Rather than rely on predetermined industry measurements as the kinematic inputs to a model, an example system instead estimates some of these states using near real-time data output from a tracking filter. This can include estimating position and velocity states, as well as curvature and centripetal acceleration states. The example system is particularly suited at accurately predicting the curvature and centripetal acceleration states, which greatly improves the accuracy of the object-tracking system, and further improves safety in avoiding a target collision.