Abstract: A substrate working system includes a plurality of substrate working apparatuses, a component storage that stores a device and a component to be used by the substrate working apparatuses, and a component conveyance flight vehicle. The component conveyance flight vehicle conveys a conveyance article by flying from the component storage to a predetermined position corresponding to a predetermined substrate working apparatus while holding the conveyance article based on necessary article information of the substrate working apparatuses.

Abstract: An artificial satellite comprises a satellite structure, an onboard control system including an onboard controller, and a memory system. The memory system is physically coupled to the satellite structure and independently powerable with respect to the onboard controller. The memory system is also arranged to communicatively couple with the onboard controller, and to store data which specifies one or more launch-specific parameters for configuring at least one of the satellite components. The onboard control system is adapted to operate in a transfer phase in response to the satellite separating from a payload dispenser, and to autonomously control, while operating in the transfer phase, one or more aspects of at least one satellite component at least partly based on the data, and particularly the one or more launch-specific parameters specified by or derived from the data.

Abstract: A flying device includes a flight unit; and a flight control unit that performs, in a case where a flight position by the flight unit is out of a predetermined range, a control that is different from a control in a case where the flight position is within the predetermined range.

Abstract: A real-time traffic safety visualization and management system using traffic data, social media data, weather data, and other similar data enable proactive decisions for reducing the number of traffic incidents or mitigating their severity. The system utilizes predictive algorithms in a hybrid framework to diagnose real-time traffic safety conditions. Meanwhile, Pro-active Traffic Management (PATM) Strategies are provided by the system for the predicted high-risk locations. Moreover, through the visualization and management system, various countermeasures are considered and tested for decision makers, such that one or more of the most effective countermeasures are recommended within a given area to improve traffic safety thereof.

Abstract: A congestion prediction server includes: a storage device configured to store route information of a determined route on which a vehicle is scheduled to travel; and a server control unit configured to, in a case of receiving route information of a searched route searched by an in-vehicle device loaded in the vehicle, generate reference information regarding the searched route based on the route information of the determined route and transmit the generated reference information to the in-vehicle device.

Abstract: A terminal apparatus includes a camera, a display that displays a display screen including a mobile robot that autonomously travels, and a control circuit. The control circuit acquires a first planned route of the mobile robot, displays, on the display, a screen having the first planned route superimposed on a camera image taken by the camera, detects a contact point on the display on which the screen is displayed, generates a second planned route of the mobile robot that travels through the contact point, and transmits the second planned route to the mobile robot.

Abstract: A computer-implemented method performed by a centralized coordinated vehicle guidance system may include: obtaining analytics data for a plurality of vehicles or objects centrally communicating with or detected by the centralized coordinated vehicle guidance system; detecting, based on the analytics data, a predicted collision event involving multiple pairs of the plurality of vehicles or objects; determining trajectory adjustment information for a first vehicle of the plurality of vehicles involved in the collision event; and outputting the trajectory adjustment information to cause the first vehicle to modify its trajectory.

Abstract: Various systems and methods for providing a vehicle control system are described herein. A system for managing a vehicle comprises: a vehicle control system of a vehicle having access to a network, including: a communication module to interface with at least one of: a mobile device, the vehicle, and environmental sensors coupled to the vehicle; and a configuration module to identify a mitigation operation to be taken when predetermined factors exist; wherein the vehicle control system is to identify a potential obstacle in a travel route of the vehicle and initiate a mitigation operation at the vehicle.

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.