Abstract: Disclosed implementations describe systems and methods for stabilizing vertical takeoff and landing (“VTOL”) or hover flight of a degraded canted-hex aerial vehicle so that the degraded canted-hex aerial vehicle can safely navigate to a landing area. For example, upon detection of a motor-out event, the disclosed implementations may cause an opposing propulsion mechanism of the aerial vehicle to terminate operation, the prioritization of the flight controller to change, and for a feedback loop of the flight controller to provide a preferred thrust to counteract yaw torques acting on the canted-hex aerial vehicle.

Abstract: A vehicle control device includes a scene determination unit determining whether or not a current traveling scene is a traveling-restricted scene, an order setting unit setting priorities corresponding to a restriction with respect to driving behaviors previously classified for different purposes in a case where it is determined that the traveling scene is the traveling-restricted scene and setting priorities with respect to the plurality of driving behaviors in a case where it is not determined that the traveling scene is the traveling-restricted scene, a traveling plan generating unit generating traveling plans corresponding to the plurality of priority-set driving behaviors, an executability determination unit determining executability of each of the plurality of generated driving behaviors, a traveling plan selection unit selecting the traveling plan corresponding to the driving behavior with the highest priority, and a traveling control unit controlling the traveling of the host vehicle based on the trav

Abstract: An unmanned aerial vehicle (UAV) is disclosed that includes a retractable payload delivery system. The payload delivery system can lower a payload to the ground using a delivery device that secures the payload during descent and releases the payload upon reaching the ground. The location of the delivery device can be determined as it is lowered to the ground using image tracking. The UAV can include an imaging system that captures image data of the suspended delivery device and identifies image coordinates of the delivery device, and the image coordinates can then be mapped to a location. The UAV may also be configured to account for any deviations from a planned path of descent in real time to effect accurate delivery locations of released payloads.

Abstract: Aspects of the invention include receiving, by a processor, airspace data associated with a predefined airspace, obtaining roadway data associated with the predefined airspace, determining a set of air travel channels within the predefined airspace based on the roadway data, defining a set of travel lanes within the set of air travel channels, wherein each travel lane in the set of travel lanes comprises an altitude range, receiving unmanned aircraft (UA) data associated with a set of UAs within the predefined airspace, wherein the UA data comprises one or more flight paths for each UA in the set of UAs, and assigning each UA in the set of UAs to a travel lane in the set of travel lanes based on the one or more flight paths.

Abstract: Systems, methods, and other embodiments described herein relate to emergency lateral maneuvers using brake-induced tire sliding. In one embodiment, a method includes determining a vehicle state for a vehicle according to sensor data about a surrounding environment. The method includes computing, using the sensor data and the vehicle state, lateral accelerations that are yaw-free for the vehicle. The method includes, in response to detecting that the vehicle state is associated with an emergency event, selecting a maneuver from the lateral accelerations. The method includes controlling the vehicle according to the maneuver.

Abstract: A vehicle dispatch system for dispatching an autonomous driving vehicle capable of traveling with remote assistance by a remote operator. The vehicle dispatch system comprising: a required time prediction unit for predicting the required time until the autonomous driving vehicle arrives at a point of dispatch by a route, a remote assistance request number calculation unit for calculating the remote assistance request number on a route, and a vehicle dispatch determination unit for determining the vehicle dispatch route to the point of dispatch where the autonomous driving vehicle travels based on the required time for each route and the remote assistance request number for each route, when the route search unit searched for a plurality of the routes.

Abstract: A control device controls a mobile object capable of traveling within a predetermined closed area, which allows a user to get on the mobile object at a first location within the predetermined closed area and to get off at a second location different from the first location. The control device controls the mobile object such that the mobile object travels to the first location when the mobile object remains in a state, for a predetermined period of time, in which no luggage is left in the mobile object.

Abstract: An automated drive device that automatically stops a vehicle in a pick-up and drop-off area in which a passenger gets and off the vehicle includes at least one processor and at least one memory that stores a program and information to be read by the at least one processor. The processor is configured to acquire the type of the passenger before the vehicle reaches the pick-up and drop-off area as a first process. The processor is configured to change a behavior for stopping the vehicle in the pick-up and drop-off area in accordance with the type of the passenger as a second process.

Abstract: Disclosed is a networked array of radar enclosures that can be arranged to cover a desired geographical location. The array can detect moving objects in the coverage area. When warranted, elements of the array can also control the movement of associated objects, for example, friendly drones. The present invention also combines attributes that facilitate the less conspicuous detection and monitoring of moving objects, with the capability of distinguishing types of moving objects.

Abstract: A method for operating a driver assistance system for a motor vehicle driven in an at least partially automated manner includes learning a trajectory in a learning mode for driving the vehicle in a first automated manner along the trajectory. Subsequently, the vehicle is driven in the first automated manner along the learnt trajectory in an operating mode following the learning mode. While the vehicle is being driven along the trajectory in the operating mode, at least one transition from a private area to a public area is detected. Additional data, including current traffic data related to driving the vehicle in the public area, is acquired and provided for the driver assistance system. The motor vehicle is driven along the learnt trajectory in a second automated manner in the public area using the additional data.

Abstract: Described is a system for analyzing time series data. A sequence of symbols is generated from a set of time series input data related to a moving vehicle using automatic segmentation. A grammar is extracted from the sequence of symbols, and the grammar is a subset of a probabilistic context-free grammar (PCFG). Using the grammar, time series input data can be analyzed, and a prediction of the vehicle's movement can be made. Vehicle operations for an autonomous vehicle are determined using the prediction.

Abstract: A vehicle control interface connects a vehicle platform including a first computer that performs travel control of a vehicle and an autonomous driving platform including a second computer that performs autonomous driving control of the vehicle. The vehicle control interface includes a control unit configured to execute: acquiring, from the second computer, a first control command including at least one of first data on designating acceleration or deceleration and second data on designating a travel track; converting the first control command into a second control command for the first computer; and transmitting the second control command to the first computer. The first control command is data for controlling the vehicle platform.

Abstract: Method and apparatus for detecting crop field parameters with a header of a harvester. The header includes a reel configured to draw crop from a crop field toward the header as the harvester moves through the crop field and at least one distance sensor mounted to the reel. Data is received from the at least one distance sensor mounted on the reel, processed, and used to detect crop field parameters.

Abstract: An obstacle avoidance system for a camera arm configured to observe traffic to the rear of a vehicle, the vehicle having bodywork, includes: the camera arm having a camera; and a guide configured so as to extend from a lateral surface of the bodywork of the vehicle to a roof surface of the bodywork of the vehicle. The camera arm is arranged on the guide so as to be slidable along the guide back and forth between a position of rest on the roof surface and a working position on the lateral surface.

Abstract: The present disclosure provides an unmanned flight system and a control system for an unmanned flight system. The unmanned flight system comprises: a body and a lift mechanism connected to the body, wherein the lift mechanism includes two rotor assembly arm structures respectively provided on two sides of the body, wherein each of the rotor assembly arm structures respectively includes: an arm, a pivotable rotor assembly, a motor for driving the rotor assembly to pivot about a pivot axis, and a motor base for mounting the motor, wherein one end of the arm is pivotally connected to one side of the body, the motor base is pivotally provided on the other end of the arm, and a rotational axis of the motor base is higher than a center of gravity of the unmanned flight system. The unmanned flight system according to the present disclosure can achieve a longer flight time, a simple rotor assembly structure, and easier overall assembly and maintenance.

Abstract: The invention ensures a proper vehicle attitude even if a friction coefficient of a contacted road surface with respect to wheels is small.

Abstract: The present teaching relates to a method, system, medium, and implementation of processing image data in an autonomous driving vehicle. Sensor data acquired by one or more types of sensors deployed on the vehicle are continuously received. The sensor data provide different information about surrounding of the vehicle. Based on a first data set acquired by a first sensor of a first type of the one or more types of sensors at a specific time, an object is detected, where the first data set provides a first type of information about the surrounding of the vehicle. Depth information of the object is then estimated via object centric stereo at object level based on the object detected as well as a second data set acquired by a second sensor of the first type of the one or more types of sensors at the specific time. The second data set provides the first type of information about the surrounding of the vehicle with a different perspective as compared with the first data set.

Abstract: A priori georeferenced vegetative index data is obtained for a worksite, along with field data that is collected by a sensor on a work machine that is performing an operation at the worksite. A predictive model is generated, while the machine is performing the operation, based on the georeferenced vegetative index data and the field data. A model quality metric is generated for the predictive model and is used to determine whether the predictive model is a qualified predicative model. If so, a control system controls a subsystem of the work machine, using the qualified predictive model, and a position of the work machine, to perform the operation.

Abstract: A vehicle control device includes a potential terminal (14), a ground output (22) and a processing unit (12) with a potential input (20). A ground loss detection device (27) includes a first ground loss detection line area (24) connecting the ground output to a first ground potential terminal (28) and a second ground loss detection line area (26) connecting the ground output to a second ground potential terminal (30). An operating voltage generation unit generates a predefined operating voltage between the potential input and the ground output based on a supply voltage present at the potential terminal. A first voltage detection device detects a voltage between the potential input and the first ground potential terminal. A second voltage detection device detects a voltage between the potential input and the second ground potential terminal. A third voltage detection device detects a voltage between the potential input and the ground output.

Abstract: A motion constraint-aided underwater integrated navigation method employing improved Sage-Husa adaptive filtering includes establishing a Doppler log error model; constructing a state equation for an underwater integrated navigation system employing Kalman filtering; according to a relationship between a centripetal acceleration and a forward velocity of an underwater vehicle, establishing a constraint condition, and constructing a complete motion constraint model; establishing two measurement equations; and establishing a filter equation, conducting calculation by using a standard Kalman filtering algorithm when an underwater glider normally runs, and conducting time updating, measurement updating and filtering updating by using an improved Sage-Husa adaptive filtering algorithm when a measurement noise varies.