Abstract: An in-vehicle apparatus includes a load weight information obtainer, a load information obtainer, an aerodynamic analyzer, a driving stability determiner, a control processor, and a proposer. The load weight information obtainer acquires a load weight of a load placed on a roof rail or a roof carrier of a vehicle. The load information obtainer acquires load information including a size and a shape of the load from image data on the load. The aerodynamic analyzer executes an aerodynamic analysis based on the load information. The driving stability determiner determines driving stability in travel of the vehicle based on the load weight and a result of the aerodynamic analysis. The control processor prohibits the vehicle from traveling when the driving stability is determined not to be sufficiently secured in the travel of the vehicle. The proposer proposes an appropriate loading way to place the load on the vehicle.

Abstract: An aerial drone has a communication component configured and programmed to receive a first signal from a remote controller. The first signal may be configured and programmed to control a movement of the aerial drone and/or a sending of a second signal. The communication component may further be configured and programmed to send the second signal to a snowmaking device. The second signal may be configured and programmed to be received by the snowmaking device to direct a motor of the snowmaking device.

Abstract: Provided herein are various enhancements for unmanned aerial vehicles and operations. An unmanned aerial vehicle includes a wireless communication system configured to establish a wireless link for at least flight control information for the unmanned aerial vehicle. The wireless communication system is configured to monitor the flight control information using a first wireless channel having a first bandwidth and periodically tune away to a second wireless channel having a second bandwidth wider than the first bandwidth for transmission of a beacon frame that includes remote identification information corresponding to the unmanned aerial vehicle.

Abstract: A helmet is provided with a shell and an opening wherein a first controller is supported by the shell. A pod is operatively coupled to the first controller and the pod comprises an input device. The input device provides an input to the first controller and the pod is receivable within the opening.

Abstract: Methods and systems are described for increasing the safety of unmanned vehicles. Failure rates of components can be combined and adjusted if necessary given sensor data or statistical or historical data that impacts failure rates. The failure rates of components can be combined to give an overall failure or success rate for a vehicle and can be compared to an accepted failure or success rate in connection with a hazard. Hazards with heightened safety requirements can be avoided by a contingency maneuver if the unmanned vehicle's failure or success rate is not acceptable.

Abstract: A system for performing autonomous operations in an operating environment comprising a plurality of objects includes a server computer. The server computer comprises a nontransitory computer readable medium storing detailed representations of the objects in the operating environment. Each detailed representation of an object comprises one or more markers providing knowledge information related to the object. The autonomous device comprises a non-transitory computer readable medium storing a world model that comprises sparse representations of the objects in the operating environment, a processor configured to use the world model to execute tasks requiring use of at least one of the objects, and a networking card for connecting to the server computer. When execution of a new task requires use of a particular object in the operating environment, the autonomous device updates the world model to include the detailed representation of the particular object.

Abstract: A harvesting machine is configured to gather harvested material into the harvesting machine during a harvesting operation. A conveyance subsystem configured to convey the harvested material from the harvesting machine to a receiving vehicle during the harvesting operation. An image capture system generates an image of the receiving vehicle and an image processor uses a machine learning system to recognize a boundary of the receiving vehicle. A control system determines a position of the receiving vehicle boundary relative to the harvesting machine, and generates a control signal based on the identified receiving vehicle boundary.

Abstract: A method includes determining, by an unmanned aerial vehicle (UAV), a position of an autoloader device for the UAV; based on the determined position of the autoloader device, causing the UAV to follow a descent trajectory in which the UAV moves from a starting position to a first nudged position in order to deploy a tethered pickup component of the UAV to a payout position on an approach side of the autoloader device; deploying the tethered pickup component of the UAV to the payout position; causing the UAV to follow a side-step trajectory in which the UAV moves laterally to a second nudged position in order to cause the tethered pickup component of the UAV to engage the autoloader device; and retracting the tethered pickup component of the UAV to pick up a payload from the autoloader device.

Abstract: A vehicle-mounted device for providing multimedia information to an occupant in a vehicle transmits, to a server device, an operation log of the vehicle-mounted device for a predetermined period of time including a time point of acquisition of a voice uttered by the occupant during operation of the vehicle-mounted device by the occupant, in a case where a first voice expressing discomfort of the occupant is included in the voice.

Abstract: Example embodiments described in this disclosure are generally directed to the use of a multi-zone geofence for key-free vehicle operations management. The multi-zone geofence may include a first zone where vehicles can be operated without the use of keys or key fobs, and a second zone surrounding the first zone where a first set of functional restrictions are imposed upon the vehicles. The first set of functional restrictions can include an upper speed limit that is automatically imposed upon a vehicle. The multi-zone geofence can include additional zones having functional restrictions, such as a third zone surrounding the second zone wherein key-free vehicle operations are permitted with a second set of restrictions. The second set of restrictions may include a directional speed feature involving an automatic speed reduction upon a vehicle travelling towards a periphery of the third zone and lifting the speed reduction if the vehicle turns back.

Abstract: Systems and methods are provide an incentive for a driver to improve power systems, safety systems, and autonomous driving systems of a vehicle. A method includes determining a learning goal for the vehicle. The method includes generating a request based on the learning goal. The method includes calculating a reward value. The method includes displaying a task on a user interface of the vehicle. The task may be based on the request, the reward value, or both. The method includes obtaining sensor data. The sensor data may be obtained based on an initiation of the task. The method includes determining progress of the task. The method includes transmitting a notification based on a determination that the task is completed.

Abstract: Techniques are provided which may be implemented using various methods and/or apparatuses in a vehicle to utilize vehicle external sensor data, vehicle internal sensor data, vehicle capabilities and external CV2X input to determine, send, receive and utilize data elements to determine inter-vehicle spacing, intersection priority, lane change behavior and spacing and other autonomous vehicle behavior.

Abstract: A machine control system for an agricultural operation includes sensors mounted on the machine and providing output signals corresponding to machine operations. A roll-up reporting function produces reports of machine operation, and status. The system can be programmed for providing such reports a predetermined intervals, e.g., at the start of each work day. A portion control method embodying the present invention includes the steps of: providing sensors on an agricultural machine; outputting from the sensors signals corresponding to machine operations; roll-up reporting of the machine operations; and comparing the operational report to a work order for the machine.

Abstract: A remote controller for controlling a movable device, such as an unmanned aerial vehicle (UAV) is provided. The remote controller includes a handheld portion. A top portion of the handheld portion extends from the handheld portion at an angle. The top portion extends further forward than a remainder of the handheld portion. The remote controller further includes a first control component on a first side of the top portion and a second control component on a rear side of the top portion. The first control component is configured to control a gimbal of the UAV or a load carried by the UAV. The rear side is adjacent to the first side. The second control component is configured to control movement of the UAV.

Abstract: A human-powered vehicle control device includes an electronic controller that changes a control state of an assist motor in accordance with an operation of an operating device. The control state includes a first control state, a second control state where the motor is driven in correspondence with a human driving force input, and a third control state where the motor is driven in correspondence with the human driving force input. In a case where the operating device is operated in accordance with a first operation procedure in the first control state, the electronic controller changes from the first control state to the second control state. In a case where the operating device is operated in accordance with a second operation procedure in the first control state, the electronic controller changes from the first control state to the third control state.

Abstract: An example operation includes one or more of powering, by a transport, one or more critical components, running, by the transport, a first set of applications on the one or more critical components, responsive to a dependency of one or more noncritical components on the one or more critical components, powering, by the transport, the one or more noncritical components, and running, by the transport, a second set of applications on the one or more noncritical components.

Abstract: An example operation may include one or more of monitoring, by a transport, data related to behavior of an occupant of the transport, determining, by the transport, a mode of the occupant based on the data, and adjusting, by the transport, an environment of the transport based on the mode of the occupant.

Abstract: An imaging system is provided. A first imaging system captures initial sensor data in a form of visible domain data. A second imaging system captures subsequent sensor data in a form of second domain data, wherein the initial and subsequent sensor data are of different spectral domains. A controller subsystem detects at least one region of interest in real-time by applying a machine learning technique to the visible domain data, localizes at least one object of interest in the at least one region of interest to generate positional data for the at least one object of interest, and autonomously steers a point of focus of the second imaging system to a region of a scene including the object of interest to capture the second domain data responsive to the positional data.

Abstract: Provided is a vehicle driving control method and apparatus based on a baby mode, the method comprising sensing, using a sensing unit, sensing information, the sensing information comprising a physical value corresponding to a current driving state of a vehicle and movement information of an infant on a car seat in the vehicle, updating a driving evaluation score of a driver of the vehicle based on the sensing information, outputting a warning signal to the driver when the driving evaluation score is less than or equal to a threshold value, and, when the warning signal is repeated at least a predetermined number of times, generating a feedback signal configured to adjust a position of the car seat.

Abstract: A tillage implement includes a frame and a disk gang supported on the frame, with the disk gang having a disk gang shaft and a plurality of disks spaced apart from each other along the disk gang shaft. Furthermore, the tillage implement includes a load sensor configured to generate data indicative of a load being applied to the disk gang and a computing system communicatively coupled to the load sensor. In this respect, the computing system is configured to monitor the load being applied to the disk gang based on the data generated by the load sensor. Additionally, the computing system is configured to determine a number of times that the monitored load crosses a baseline load value during a given time interval. Moreover, the computing system is configured to determine when the disk gang is plugged based on the determined number of times.