Abstract: Device, system, and method of autonomous driving and tele-operated vehicles. A vehicular Artificial Intelligence (AI) unit, is configured: to receive inputs from a plurality of vehicular sensors of a vehicle; to locally process within the vehicle at least a first portion of the inputs; to wirelessly transmit via a vehicular wireless transmitter at least a second portion of the inputs to a remote tele-driving processor located externally to the vehicle; to wirelessly receive via a vehicular wireless receiver from the remote tele-driving processor, a remotely-computed processing result that is received from a remote Artificial Intelligence (AI) unit; and to implement a vehicular operating command based on the remotely-computed processing result, via an autonomous driving unit of the vehicle or via a tele-driving unit of the vehicle.

Abstract: An information output apparatus provided with an acquisition unit that acquires machine identification information and information indicating an operation amount; an identification unit that identifies at least one of a model type of the unmanned moving apparatuses, a purpose of use of the unmanned moving apparatuses, an operation region of the unmanned moving apparatus or component information indicating a component included in the unmanned moving apparatuses, which are associated with the machine identification information; a selection unit that selects an inspection threshold value corresponding to the attribute, as an attribute of the unmanned moving apparatus; a determination unit that determines whether or not a cumulative operation amount calculated by cumulating the operation amount is greater than the inspection threshold value; and an output unit that outputs determination results from the determination unit.

Abstract: An information presentation method that is executed by a computer includes acquiring travelling path information that includes a cleaning path and a relocation path, the cleaning path showing positions cleaned by a self-propelled vacuum cleaner in each of a plurality of regions included in a specific area, and the relocation path showing a route of the self-propelled vacuum cleaner that has travelled from one region to another region different from the one region out of the regions, the route being included in the specific area; generating presentation information that includes the cleaning path and the relocation path and that changes the mode of display of at least one of the cleaning path or the relocation path when a specific condition is satisfied; and presenting the presentation information to the user as the travelling path of the self-propelled vacuum cleaner in the specific area.

Abstract: A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to: receive sensor data representing a perceived driving environment, select a reinforcement learning agent from a plurality of reinforcement learning agents based on a challenge score calculated using the sensor data and a desired driving style, and generate, via the selected reinforcement learning agent, a driving action based on the sensor data.

Abstract: This application discloses an apparatus and method for displaying pilot control authority. This apparatus and method include using a controller to identify a condition of an aircraft and determine a limitation in pilot control authority. Using this, an indicator on a display may show a visual representation of a pilot control authority, the limitations thereof, and a pilot input.

Abstract: A method of facilitating first mile/last mile transfer of a vehicle includes: analyzing a first route and a second route using a trained machine learning model to determine, respectively, a first cost of the first route and a second cost of the second route to a user; wherein the trained machine learning model is trained using at least one of a detour in time, a delay in miles, a time of day, a traffic congestion factor, or profile information about a ride share passenger; causing a message including the first cost and the second cost to be displayed to the user via an electronic device of the user; and receiving an indication of whether the user selects the first route or the second route.

Abstract: A method for stabilizing a motion of a rotor blade of a rotor comprising the steps: read into a controller, a measurement from a sensor responsive to said rotor blade; determine an out-of-compliance motion of the rotor blade; and output a first control signal to an actuator affecting the rotor blade such that a vibration mode of said rotor blade is dampened. The damping may be achieved by changing the drag, lift or torsion of the rotor blade. The out-of-compliance motion may be a lead, lag, upward motion, downward motion or twist of the rotor blade away from a nominal value.

Abstract: In one embodiment, a system to enhance in-flight controlled rest for a flight crew includes a pilot user interface, a co-pilot user interface, and a flight crew monitoring system. The flight crew monitoring system is configured to: (i) determine a physiological state of both a pilot and a co-pilot, (ii) selectively generate one or more alerts for the pilot and/or the co-pilot based on the determined physiological state, (iii) inhibit generating the one or more alerts for the pilot upon receipt of a first inhibit signal from the pilot user interface, (iv) inhibit generating the one or more alerts for the co-pilot upon receipt of a second inhibit signal from the co-pilot user interface, and (v) generate and store data indicating a time of day and a duration that the one or more alerts for the pilot or co-pilot, respectively, were inhibited.

Abstract: A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to receive sensor data including wheel speed measurements, suspension displacement measurements, and tire leak detection data from a vehicle, estimate a rough road measurement based on a deviation of a wheel speed with respect to an average wheel speed and or based on suspension displacement sensor signals and generate temporal spatial map data indicative of a location and a roughness severity metric of a roadway portion based on the rough road measurement and tire leak detection data.

Abstract: Techniques are provided for monocular 3D object detection from an image semantics network. An image semantics network (ISN) is a single stage, single image object detection network that is based on single shot detection (SSD). In an embodiment, the ISN augments the SSD outputs to provide encoded 3D properties of the object along with a 2D bounding box and classification scores. For each priorbox, a 3D bounding box is generated for the object using the dimensions and location of the priorbox, the encoded 3D properties and camera intrinsic parameters.

Abstract: A system for stowable propulsion in an electric aircraft that includes at least a propulsor mounted on at least a structural feature that includes at least a rotor and at least a motor mechanically coupled to the at least a rotor, where the motor is configured to cause the rotor to rotate as a function of an activation datum, at least a sensor communicatively coupled to the at least a propulsor configured to detect a position datum as a function of the configuration, generate a clearance datum as a function of the position datum, transmit the clearance datum to a flight controller, and a flight controller communicatively coupled to the at least a propulsor and the at least a sensor configured to receive the clearance datum from the at least a sensor and generate the activation datum as a function of the clearance datum.

Abstract: Technologies and techniques for the at least the partially automated driving of a motor vehicle. A first application and at least one redundant second application provide output data depending on motor vehicle operating data and/or environmental data. Vehicle driving data for the at least partially automated driving of the motor vehicle are determined depending on the output data. Vehicle operating data from another vehicle are received, and, depending on the vehicle operating data, the at least one redundant second application switches from an active state to a standby state in which a computer instance of a computer unit used by the at least one redundant second application is at least executed at a lower frequency than in the active state.

Abstract: The technology relates to developing a highly accurate understanding of a vehicle's sensor fields of view in relation to the vehicle itself. A training phase is employed to gather sensor data in various situations and scenarios, and a modeling phase takes such information and identifies self-returns and other signals that should either be excluded from analysis during real-time driving or accounted for to avoid false positives. The result is a sensor field of view model for a particular vehicle, which can be extended to other similar makes and models of that vehicle. This approach enables a vehicle to determine when sensor data is of the vehicle or something else. As a result, the detailed modeling allowing the on-board computing system to make driving decisions and take other actions based on accurate sensor information.

Abstract: During a vertical landing state, it is decided whether to switch from the vertical landing state to a self adjusting state. The VTOL vehicle includes the flight controller, the rotor, and a fuselage where the rotor is coupled to the fuselage via a vertical connector. If it is so decided, there is a switch from the vertical landing state to the self adjusting state. During the self adjusting state, a control signal for a rotor is generated where the control signal causes: (1) the rotor to rotate during the self adjusting state and (2) the VTOL vehicle to remain in a fixed position during the self adjusting state, in response to the control signal, and independent of docking infrastructure. During a rotors off state, a rotor off control signal is generated for the rotor that causes the rotor to turn off.

Abstract: A method for centrally aligning a robot with an electronic device, including: transmitting, with at least one transmitter, a first signal; receiving, with a first receiver and a second receiver, the first signal; detecting, with a controller coupled to the first receiver and the second receiver, the robot is centrally aligned with the electronic device when the first receiver and the second receiver simultaneously receive the first signal, wherein a virtual line passing through a center of the robot and a center of the electronic device is aligned with a midpoint between the first receiver and the second receiver; and executing, with the robot, a particular movement type when the robot is aligned with the electronic device.

Abstract: A control system, and associated control method, that processes aircraft tracking data to determine precise location information for aircraft in the vicinity of an outdoor show that includes laser projectors. The aircraft location information for each aircraft is processed along with heading and speed data to generate a set of laser control data, which is communicated via a monitoring interface to a laser projector operator for use in operating the laser projector. The control system determines the scan field into which the laser projector may project its light during the show, and this scan field is provided, e.g., visually in the monitoring interface, to the laser projector operator along with the sets of laser control data for each aircraft. The laser projector operator may then terminate or continue to operate the laser projector based on this very precise information related to the scan field and location of aircraft.

Abstract: The present disclosure provides autonomous vehicle systems and methods that include or otherwise leverage a motion planning system that generates constraints as part of determining a motion plan for an autonomous vehicle (AV). In particular, a scenario generator within a motion planning system can generate constraints based on where objects of interest are predicted to be relative to an autonomous vehicle. A constraint solver can identify navigation decisions for each of the constraints that provide a consistent solution across all constraints. The solution provided by the constraint solver can be in the form of a trajectory path determined relative to constraint areas for all objects of interest. The trajectory path represents a set of navigation decisions such that a navigation decision relative to one constraint doesn't sacrifice an ability to satisfy a different navigation decision relative to one or more other constraints.

Abstract: The present disclosure relates to a multi-constraint optimal distribution method for a torque vectoring of a distributed drive electric vehicle, which includes: obtaining a vehicle real-time motion state, taking a pre-constructed tire rotation dynamics model as a control object of an optimal distribution problem, establishing an objective function for tracking a desired additional yaw moment, tracking a desired tire slip ratio, and suppressing a motor output energy consumption to a minimum value, establishing a corresponding system constraint, solving the optimal distribution problem, and obtaining an optimal distribution solution for a torque vectoring of each tire. Compared with the prior art, the present disclosure can effectively track a desired control target, can also effectively constrain an important state and a control input of the vehicle, and can avoid wrong solutions or no solution caused by an optimization problem.

Abstract: To provide a flying object including a lift generating member deployment device that makes it easier than before to automatically avoid collision with an obstacle. A flying object 30 includes an obstacle detecting unit 5, a control unit 6, a battery 7, a storage unit 8 that stores information transmitted from the control unit 6, a transmitting/receiving unit 9 that receives an operation signal from a controller 40 and transmits information regarding the flying object 30 to the controller 40, and others. The obstacle detecting unit 5 is to detect the altitude of the flying object 30 and outputs an altitude detection signal, which represents the detected altitude information, to the control unit 6.

Abstract: A system for determining an existence of a change in a region can include a processor, a communications device, and a memory. The memory can store a change determination module and a communications module. The change determination module can cause the processor to: (1) determine, in response to having obtained an indication of a possible change in the region, a location of a connected car in a vicinity of the region and facts about a sensor disposed on the connected car and (2) determine a strategy to obtain data about the possible change. The strategy can be based on at least one of the location of the connected car or the facts about the sensor. The communications module can cause the processor to transmit, via the communications device and to the connected car, an instruction to control, according to the strategy, the sensor to obtain the data.