Abstract: A method is provided for enhancing fuel efficiency in an integrated hybrid power system for a marine vessel, the integrated hybrid power system including multiple energy storage units and at least one engine-driven power generator coupled with a power distribution grid. The method includes: determining whether a consumer load on the power distribution grid is greater than a rated maximum efficiency loading of the power generator; starting the power generator when the consumer load is greater than the maximum efficiency loading and/or a charge level of the energy storage units is below a lower threshold value; maintaining a constant load on the power generator equal to the maximum efficiency loading despite fluctuations in consumer load; and shutting down the power generator when the consumer load is less than or equal to the maximum efficiency loading and the charge level of the energy storage units is greater than or equal to the lower threshold value.

Abstract: A roll vibration damping control system includes an electronic control unit configured to: compute a sum of a product of a roll moment of inertia and a roll angular acceleration of a vehicle body, a product of a roll damping coefficient and a first-order integral of the roll angular acceleration, and a product of an equivalent roll stiffness of the vehicle and a second-order integral of the roll angular acceleration, as a controlled roll moment to be applied to the vehicle body; compute a roll moment around a center of gravity of a sprung mass as a correction roll moment, the roll moment being generated by lateral force on wheels due to roll motion; and compute a target roll moment based on a value obtained by correcting the controlled roll moment with the correction roll moment.

Abstract: Systems, methods, and non-transitory computer-readable media can receive transportation information associated with a transportation request, the transportation information comprising a pick up location and a drop off location. A first route associated with the transportation request and a non-autonomous vehicle can be determined. A second route associated with the transportation request and an autonomous vehicle can be determined based on an operating design domain (ODD) associated with one or more autonomous vehicles in a fleet of vehicles. At least one performance metric associated with the second route can be determined. The second route can be selected based at least in part on the at least one performance metric and a comparison of the first route and the second route. An autonomous vehicle from the fleet of vehicles can be assigned to the transportation request based on selection of the second route.

Abstract: A vehicle control device includes a recognizer configured to recognize an object around a host vehicle, a driving controller configured to control a speed and steering of the host vehicle and cause the host vehicle to overtake a moving body recognized as the object by the recognizer in a predetermined case, the moving body being a moving body present at a side of a road on which the host vehicle is present, and a predictor configured to predict that the host vehicle will be overtaken by the overtaken moving body at a future point in time when the moving body has been recognized by the recognizer, and the driving controller is configured to not cause the host vehicle to overtake the moving body when the predictor predicts that the host vehicle will be overtaken by the overtaken moving body at a future point in time.

Abstract: A roll vibration damping control system includes an electronic control unit configured to: compute a sum of a product of a roll moment of inertia and a roll angular acceleration of a vehicle body, a product of a roll damping coefficient and a first-order integral of the roll angular acceleration, and a product of an equivalent roll stiffness of the vehicle and a second-order integral of the roll angular acceleration, as a controlled roll moment to be applied to the vehicle body; compute a roll moment around a center of gravity of a sprung mass as a correction roll moment, the roll moment being generated by lateral force on wheels due to roll motion; and compute a target roll moment based on a value obtained by correcting the controlled roll moment with the correction roll moment.

Abstract: Disclosed herein is method and congestion management system for reducing road congestion. Traffic data related to plurality of vehicles is analyzed by a trained traffic model for predicting speed of each vehicle and signal time associated with intersection points. Optimal speed for each vehicle and an optimal signal time for each of the intersection points is determined based on analysis of the previous values and historic traffic data. The determined optimal speed and the optimal signal time are respectively provided to a vehicle control system associated with each vehicle and a traffic controller associated with each intersection point. In an embodiment, the method of present disclosure reduces traffic congestion on any selected portion of road. Further, the method of present disclosure eliminates and/or minimizes number of instances that a vehicle has to stop/start at the traffic signals, thereby enhancing fuel economy and reducing waiting time for the vehicles.

Abstract: A vehicle for traversing an area with a minimal environmental impact is described. The vehicle includes a first component that creates a first environmental impact when the vehicle is traversing in the area. The vehicle further includes a second component configured to reduce the first environmental impact.

Abstract: Systems, devices, and methods for determining, by a processor, an unmanned aerial system (UAS) position relative to at least one flight boundary; and effecting, by the processor, at least one flight limitation of a UAS if the determined UAS position crosses the at least one flight boundary.

Abstract: The present invention relates to a control unit for determining a value indicative of a load bearing capability of a ground segment supporting a vehicle. The control unit is configured to issue a control signal to the vehicle to thereby impart a motion change of the vehicle, and receive response information from the vehicle indicative of the vehicle's response to the imparted motion change. The control unit is further configured to, based on the response information, determine a vertical position change of at least one wheel of the vehicle, and based on the determined vertical position change and the imparted motion change, determine the value indicative of the load bearing capability of the ground segment.

Abstract: A vehicle height adjusting device includes a vehicle height adjusting unit, a prediction unit, and a vehicle height control unit. The vehicle height adjusting unit adjusts a vehicle height to one of a first state and a second state. In the first state, the vehicle height is set to a predetermined height, and in the second state, the vehicle height is set lower than the first state. The prediction unit predicts whether a drive battery (lower portion) of a vehicle interferes with a road surface in the second state. The vehicle height control unit controls the vehicle height adjusting unit to set the vehicle height to one of the first state and the second state. When the prediction unit predicts an interference between the drive battery of the vehicle and the road surface, the vehicle height adjusting unit restricts a transition from the first state to the second state.

Abstract: Aspects of the disclosure relate generally to speed control in an autonomous vehicle. For example, an autonomous vehicle may include a user interface which allows the driver to input speed preferences. These preferences may include the maximum speed above the speed limit the user would like the autonomous vehicle to drive when other vehicles are present and driving above or below certain speeds. The other vehicles may be in adjacent or the same lane the vehicle, and need not be in front of the vehicle.

Abstract: A system comprising, a plurality of unmanned aerial vehicles and a single controller for controlling said plurality of unmanned aerial vehicles, wherein the single controller is configured such that it can broadcast a command to all of the plurality of unmanned aerial vehicles so that each of the plurality of unmanned aerial vehicles receive the same command; and wherein each of the unmanned aerial vehicles comprise a memory which stores a plurality of predefined flight paths each of which is assigned to a respective command; and wherein each of the unmanned aerial vehicles comprise a processor which can, (i) receive a command which has been broadcasted by the single controller to said plurality of unmanned aerial vehicles, (ii) retrieve from the memory of that aerial vehicle the flight path which is assigned in the memory to that command, and (iii) operate the aerial vehicle to follow the retrieved flight path.

Abstract: A method for operating an automated utility vehicle includes, after a change in the load state of the automated utility vehicle, determining a current weight and/or a current load distribution of the automated utility vehicle. The method further includes making available the determined current weight and/or the determined current load distribution in the form of current load information. The current load information is used for situation-dependent adaptation of planning and/or control of a trajectory of the automated utility vehicle.

Abstract: Systems and apparatuses for identifying a type of issue associated with a stopped vehicle are provided. The system may determine a current location of the vehicle and determine whether the vehicle is currently located on a highway. In some examples, the determined location of the vehicle may cause the system to transmit instructions controlling an amount or type of data collected by sensors and/or transmitted to the system. If the vehicle is on a highway, the system may then determine whether the vehicle is stopped. If so, the system may determine a reason for the vehicle stopping. Upon determining that the vehicle is stopped for an urgent reason, the system may transmit a request for roadside assistance to a service provider computing device and may generate a first type of notification. Upon determining that the vehicle is stopped for a non-urgent situation reason, the system may generate and transmit a second type of notification for display.

Abstract: A layer pick system optimizes usage of a layer picker gantry or robotic arm by arranging and/or displacing the gantry or arm in optimal locations with respect to one or more groups of pallets, and/or by grouping pallets by their attributes and arranging the same group of pallets close to each other. In some implementations, a plurality of pallets is categorized into multiple groups by different velocities.

Abstract: An autonomous robotic vehicle includes a chassis, wheels movably mounted to the chassis by a suspension system, and a vehicle pose system. The vehicle pose system includes a ride height sensor system, a processor, and memory. The sensor system is configured to measure wheel displacement of the wheels relative to the chassis. The sensor system includes ride height sensors that determine wheel positions of the wheels with respect to the chassis as the vehicle travels along a surface. The memory has instructions stored thereon which, when executed by the processor cause the vehicle pose system to determine a plane of the surface corresponding to the wheel positions so that the pose system can determine a pose of the vehicle based on an angle of the surface with respect to the vehicle.

Abstract: A cleaning robot having an improved structure capable of improving a user convenience and method for controlling the same are disclosed herein. A cleaning robot includes a main body to form an outer appearance and having an inlet port provided to suck a foreign matter present in a cleaning area, an operation unit detachably coupled to the main body and provided to be gripped, at least one motion sensor provided to detect a motion of the operation unit, and a control unit electrically connected to the at least one motion sensor to drive a driving motor of the main body based on the motion of the operation unit detected by the at least one motion sensor.

Abstract: A method for operating a fleet of vehicles may include determining a first set of parameters for operating a first vehicle as it travels to a destination, and determining a second set of parameters for operating a second vehicle. Consumption of the first set of parameters by the first vehicle may cause the first vehicle to accelerate, alter shocks and/or suspensions, and/or move into a free lane. Consumption of the second set of parameters by the second vehicle may cause the second vehicle to remain outside of a drive envelope of the first vehicle, between the first vehicle and the particular destination.

Abstract: Example systems and methods enable an autonomous vehicle to request assistance from a remote operator in certain predetermined situations. One example method includes determining a representation of an environment of an autonomous vehicle based on sensor data of the environment. Based on the representation, the method may also include identifying a situation from a predetermined set of situations for which the autonomous vehicle will request remote assistance. The method may further include sending a request for assistance to a remote assistor, the request including the representation of the environment and the identified situation. The method may additionally include receiving a response from the remote assistor indicating an autonomous operation. The method may also include causing the autonomous vehicle to perform the autonomous operation.

Abstract: A car control device includes a driving force calculating unit that calculates driving force necessary for a train to travel; an operating number calculating unit that determines the number of M cars to be operated on the basis of the driving force; and a driving force command calculating unit that calculates driving force commands to be given to the M cars that operate depending on the number of M cars to be operated, wherein the driving force command calculating unit continuously changes the driving force commands when the number of M cars to be operated changes.