Abstract: A high-level motion controller provides a lower-level thrust allocation with generalized forces demanded on the ship for the current instant of time as well as a prediction of future generalized forces { ? ˆ D } t = 0 T demanded over a predicted future time, and optionally one or more other reference predictions, such as a time-varying velocity and position of the ship { ? ^ D , v ^ D } t = 0 T . When predictions of the future desired forces and torque are made available to the lower-level thrust allocation, the lower-level thrust allocation will be aware of what is needed in the future and use the predictions to make efficient changes towards the desired future references, when it generates control signals to thrusters available in the thruster system to distribute the desired generalized forces into individual forces of the individual thrusters.

Abstract: An agricultural machine includes a vehicle body, a sensor to sense an environment around the vehicle body to output sensing data, and a communication device to transmit the sensing data output from the sensor to a remote device. The sensor changes a data amount of the sensing data output to the communication device, depending on a communication rate from the communication device to the remote device.

Abstract: An example method involves detecting a sensor-testing trigger. Detecting the sensor-testing trigger may comprise determining that a vehicle is within a threshold distance to a target in an environment of the vehicle. The method also involves obtaining sensor data collected by a sensor of the vehicle after the detection of the sensor-testing trigger. The sensor data is indicative of a scan of a region of the environment that includes the target. The method also involves comparing the sensor data with previously-collected sensor data indicating detection of the target by one or more sensors during one or more previous scans of the environment. The method also involves generating performance metrics related to the sensor of the vehicle based on the comparison.

Abstract: A boat ramp occupancy indicator system having a server entity with database, a first input for receiving current weather and tidal information, a second input for receiving traffic information, and a plurality of smart phones having an end-user application operating therein. The system communicating with each one of the end-user applications operating on a smart phone. When a smart phone, operating the end-user application, is located at or near a selected boat ramp, the system sends a push notification to such user inquiring if the user is located at the boat ramp. The system determining, regardless of whether or not the user responds to the sent push notification, how busy the selected boat ramp is. The system, based upon how busy the selected boat ramp is determined to be, sending out informative notifications to other users who have designated the select boat ramp as a favorite boat ramp.

Abstract: An activation system of a work machine includes a vehicle body control unit outputting a control signal to drive a vehicle body of the work machine with power supplied by a power source, and an authentication unit performing authentication of an operator of the work machine. The activation system of a work machine first activates the authentication unit, and activates the vehicle body control unit when the authentication unit authenticates that the operator boarding the work machine is a specific operator.

Abstract: Embodiments of the disclosure provide for clear air turbulence (CAT) detection. In the context of a method, the method includes receiving, from a vehicle, biometric data for at least one subject aboard the vehicle, wherein the biometric data meets a biometric abnormality threshold; applying a first weight value to a first subset of the biometric data determined to correspond to a passenger aboard the vehicle; applying a second weight value to a second subset of the biometric data determined to correspond to a crewmember aboard the vehicle, wherein the first weight value represents a greater impact value than the second weight value; determining the vehicle has encountered a monitored vehicle event representing CAT based at least in part on the first and second weight values; generating a predicted event location based on vehicle data associated with the vehicle; and providing the predicted event location to an additional vehicle.

Abstract: A system for controlling the operation of an agricultural implement includes a disk blade configured to rotate relative to soil in a field across which the agricultural implement is traveling. Moreover, the system includes a computing system configured to access a map identifying a length parameter at a plurality of locations within the field. The length parameter is, in turn, associated with one or more corn stalks that have been severed from a corresponding root ball and are present on a surface of a portion of the field. In addition, the computing system is configured to receive location sensor data indicative of a current location of the agricultural implement within the field and control an operating parameter of the disk blade based on the accessed map and the received location sensor data.

Abstract: A vehicle includes a vehicle body, a wheel group connected to the vehicle body, a door disposed on the vehicle body and opened by an actuator in a first direction, and a planar light shielding member disposed on the door, having a variable light transmittance and including at least a first region and a second region that are disposed along the first direction. When the vehicle is in a first state, the first region and the second region of the light shielding member in the door have a first light transmittance. When the vehicle is in a second state, the second region remains at the first light transmittance, and the first region has a second light transmittance larger than the first light transmittance. Thereafter, an opening operation of the door in the first direction is completed.

Abstract: The present disclosure provides a cleaning robot and a movement control method thereof. Based on the method, during travel of the cleaning robot, three-dimensional information of an obstacle is acquired through a sensor system. When the obstacle moves within the detection range of the sensor system, when a distance between the obstacle and the cleaning robot along a central axis of the cleaning robot is less than a first preset detection threshold, and when a maximum value among included angles between connection lines constituted by a first reference point of the cleaning robot and second reference points of the obstacle and a current traveling direction of the cleaning robot is greater than a third preset detection threshold, an action away from the obstacle is intelligently performed.

Abstract: A control system an unmanned vehicle includes a first processing unit configured to execute a primary autopilot process for controlling the unmanned vehicle. The control system further includes a programmable logic array in operative communication with the first processing unit. The control system also includes a state machine configured in the programmable logic array. The state machine is configured to enable control of the unmanned vehicle according to a backup autopilot process in response to an invalid output of the first processing unit.

Abstract: A communication control method applied to a gateway of a vehicle includes: obtaining driving information and driving environment information of the vehicle; determining a communication parameter according to the driving information and the driving environment information of the vehicle; and sending the communication parameter to a plurality of vehicle on board controllers (VOBCs) of the vehicle. The communication parameter is selected form a group of a communication frequency, a communication rate, and a communication protocol, the plurality of VOBCs communicate with each other according to the communication parameter. A gateway and a vehicle are also disclosed.

Abstract: A refuse vehicle includes a chassis, a body assembly coupled to the chassis, the body assembly defining a refuse compartment, and a thermal event monitoring system. The thermal event monitoring system includes a plurality of sampling elements each configured to sample an environmental condition associated with a sampling location within the refuse compartment and a processing circuit operatively coupled to and configured to receive sampling data from the plurality of sampling elements and to determine a presence and location of a thermal event within the refuse compartment.

Abstract: The portable terminal is operated by an operator to operate the vehicle, and performs wireless communication with the vehicle. The portable terminal includes a sensor, a touch panel, and a processor. The sensor detects an inclination direction and an inclination angle of the portable terminal. The touch panel includes a display screen and detects touch of an operator on the display screen. The processor selects one of the first and second operation methods corresponding to the first and second holding methods of the portable terminal by the operator based on orientation information, generates travel control information for vehicle travel control based on the tilting operation of tilting the portable terminal during selection of the first operation method, and generates travel control information based on the tilting operation and the touch operation to a predetermined position on the display screen during selection of the second operation method.

Abstract: A control device controls a partition of a moving object including a first seat provided in the moving object, a second seat provided in the moving object, and the partition positioned between the first seat and the second seat and which is projectable. The control device includes a moving state determination unit that determines whether or not the moving object has transitioned to a predetermined moving state, and a partition control unit that automatically project the partition when the moving state determination unit determines that the moving object has transitioned to the predetermined moving state.

Abstract: A method for diagnostic monitoring of a vehicle brake-by-wire system for a vehicle may include recording a reference excitation profile of a reference brake-by-wire unit. The method further may include identifying one or more characteristic functions of the reference brake-by-wire unit based at least in part on the reference excitation profile. The method further may include determining a performance of a vehicle brake-by-wire unit based at least in part on the one or more characteristic functions. The method further may include performing a diagnostic action based at least in part on the performance of the vehicle brake-by-wire unit.

Abstract: In one embodiment, a method includes one or more computing systems determining a fleet-level objective for a vehicle. The fleet-level objective is associated with instructing the vehicle to travel a route according to route criteria based on the fleet-level objective. The one or more computing systems may determine one or more of an urgency score indicative of an urgency to fulfill the fleet-level objective or a risk factor score indicative of an overall condition of the vehicle. Based on one or more of the urgency score or the risk factor score, the one or more computing systems may select a particular operating mode from a plurality of operating modes for the vehicle to operate. The one or more computing system may instruct the vehicle to operate in the particular operating mode so as to fulfill the fleet-level objective.

Abstract: A safety system according to the present invention includes an on-ship system which is provided on a ship and a land system which is provided on land. The on-ship system and the land system each obtain, from a safety detection device and a safety maintenance device which are provided on a ship, data which has been detected by the safety detection device and a signal which indicates a state of the safety maintenance device, and, on the basis of the obtained data and signal, transmit to the safety maintenance device a control signal for controlling the safety maintenance device.

Abstract: A system and method for predicting traffic information are disclosed. The system includes a plurality of vehicles that transmits information obtained while traveling in a specified section, and a server that generates processed information based on the information received from the plurality of vehicles, predicts a traffic volume of the specified section at a first time point based on a traffic volume of the specified section and the processed information, and calculates a time required to travel the specified section based on the predicted traffic volume.

Abstract: Querying trajectories is disclosed. A database of rich typical trajectories, which includes both position and attribute information for each of the typical trajectories, is created. Using a current trajectory of a node or a current position of the node, the database is queried for a rich typical trajectory that likely corresponds to the current or anticipated trajectory of the node. The database is searched by identifying candidate trajectories and determining a similarity score for each of the candidate trajectories. The best scoring candidate trajectory may be returned and logistics operations may be performed using the best scoring candidate trajectory.

Abstract: Disclosed subject matter relates to field of autonomous vehicles that discloses method and system for training a lane tracking system and lane tracking for an autonomous vehicle. During training phase, lane tracking system receives ground truth and measured values corresponding to lane boundary detection points and determines ground truth and measured clothoid points. Thereafter, coefficient values of clothoid parameters are determined for measured clothoid points to model lane boundaries and then Kalman filter parameters are determined for coefficient values to track lane boundaries, using at least one neural network. Further, coefficient values of clothoid parameters are updated using Kalman filter parameters, using which, measured clothoid point is reconstructed, and used to track lane boundaries. Further, training error is obtained by L2 norm between clothoid points and not by coefficients, thereby enhancing training error minimization.