Abstract: A flight control method includes obtaining route data for instructing an aircraft to fly on a route represented by the route data, analyzing the route data according to a preset splitting condition, splitting the route into multiple sub-routes in response to the route data satisfying the preset splitting condition, and determining a to-be-executed sub-route from the multiple sub-routes and transmitting the to-be-executed sub-route to the aircraft.

Abstract: A damping control system for a vehicle having a suspension located between a plurality of ground engaging members and a vehicle frame includes at least one adjustable shock absorber having an adjustable damping profile.

Abstract: A vehicle safety support apparatus includes: a driver monitoring sensor configured to monitor a driver; an external environment monitoring sensor configured to monitor an external environment of a vehicle; and at least one processor configured to: determine whether the vehicle is in an immediate hazard situation based on data acquired from the driver monitoring sensor and the external environment monitoring sensor; determine, in response to determining that the vehicle is in the immediate hazard situation, whether to perform a recovery maneuver or a rescue maneuver based on the data acquired from the driver monitoring sensor and the external environment monitoring sensor to get out of the immediate hazard situation; and perform, in response to determining to perform the rescue maneuver, autonomous driving to move the vehicle to a safe area by taking over a driving control from the driver.

Abstract: Techniques for generating trajectories and drivable areas for navigating a vehicle in an environment are discussed herein. The techniques can include receiving a trajectory representing an initial trajectory for a vehicle, such as an autonomous vehicle, to traverse the environment in a drivable area. A location can be determined along the trajectory. A cost associated with the location can determined and can be evaluated with respect to a cost threshold. Further, the techniques can include determining, based at least in part on the cost meeting or exceeding the cost threshold, an action associated with the location, and controlling the autonomous vehicle to traverse the environment based at least in part on the action.

Abstract: An embodiment of the invention may include a method, computer program product and computer system for environment based navigation. The method, computer program product and computer system may include computing device which may collect environment map data. The environment map data may include one or more environmental zones. The computing device may receive one or more user environment preferences from a user. The user environment preferences may include a user's preferred environmental zones and non-preferred environmental zones. The computing device may receive a destination from the user and determine one or more routes to the destination. The computing device may compare the one or more determined routes to the environment map data and the user environment preferences and display a list of the determined routes based on the user environment preference data.

Abstract: A system for unmanned aerial vehicle alignment including: an image sensor, configured to obtain an image of unmanned aerial vehicles and provide to a processor image data corresponding to the obtained image, the processor, configured to determine from the image data image positions of the unmanned aerial vehicles, determine an average position of the unmanned aerial vehicles relative to a first axis based on the image positions, determine an average line that extends along a second axis through the average position, wherein the first and second axes are perpendicular to each other, determine a target position of one of the unmanned aerial vehicles based on a relationship between its respective image position and a target alignment, and determine an adjustment instruction to direct said one of the unmanned aerial vehicles toward the target position, and provide the adjustment instruction to said one of the unmanned aerial vehicles.

Abstract: The present disclosure discloses method and an Electronic Control Unit (ECU) of an autonomous vehicle for determining safe navigation. The ECU determines current location of vehicle based on orientation and location information of vehicle. One or more pre-defined vehicle parameters and surrounding infrastructure data is determined. Traffic density at current route of vehicle is determined based on surrounding infrastructure data and current location of vehicle. The ECU predicts traffic density at one or more alternate routes for predefined time and distance from current location of vehicle, based on traffic information received from surrounding infrastructure data for one or more alternate routes. Thereafter, route is selected based on one or more pre-defined vehicle parameters, traffic density at current route and traffic density at one or more alternate routes for safely navigating vehicle.

Abstract: Techniques for generating trajectories and drivable areas for navigating a vehicle in an environment are discussed herein. The techniques can include receiving a reference trajectory representing an initial trajectory for a vehicle, such as an autonomous vehicle, to traverse the environment in a first drivable area. An object within a distance threshold can be detected in the environment and a second drivable area can be determined. Further, the techniques can include determining a target trajectory based at least in part on the reference trajectory and/or the second drivable area which can provide a region for the object to traverse the environment, and controlling the autonomous vehicle to traverse the environment based at least in part on the target trajectory.

Abstract: A method of calculating a most probable path (MPP) comprising: with a classification module, classifying each of a plurality of origin and destination (O/D) trajectories into one of a plurality of periods of time, the classification comprising: changing a data sampling time period of any of the plurality of trajectories within the determined classification periods; with the classification module, detecting any O/D data descriptive of an aperiodic O/D trajectory using context data descriptive of the aperiodic O/D trajectory; and with the classification module, calculating a route trajectory serving as a candidate of the MPP to determine a priority O/D trajectory that matches the context data.

Abstract: A vehicle safety support apparatus includes: a driver monitoring sensor configured to monitor a driver; an external environment monitoring sensor configured to monitor an external environment of a vehicle; and at least one processor configured to: determine whether the vehicle is in an immediate hazard situation based on data acquired from the driver monitoring sensor and the external environment monitoring sensor; determine, in response to determining that the vehicle is in the immediate hazard situation, whether to perform a recovery maneuver or a rescue maneuver based on the data acquired from the driver monitoring sensor and the external environment monitoring sensor to get out of the immediate hazard situation; and perform, in response to determining to perform the rescue maneuver, autonomous driving to move the vehicle to a safe area by taking over a driving control from the driver.

Abstract: Embodiment of the present invention provides a systems and methods for completing travel plans after a personal vehicle failure. The system receives a request from a disabled vehicle and determines at least a first destination of one or more users associated with the disabled vehicle based on user input. Then the system determines a second destination of the disabled vehicle based on the user input and analyzes the user input and generating a list of rescue plans. Then it transmits the list of rescue plans to the one or more users and receives a selection by the user. Furthermore, it sends instructions to a service provider associated with the selected rescue plan to deliver the one or more users to the first destination and the disabled vehicle to the second destination.

Abstract: A system to maintain a phase difference is disclosed. Two or more aircraft fly in a continuous periodic trajectory. The system maintains a phase difference between the two or more aircraft. Telemetry information for a reference aircraft moving in a first periodic trajectory is received. A phase difference between a primary aircraft and the reference aircraft with respect to the first periodic trajectory is determined. A variance in the phase difference between the primary aircraft and the reference aircraft from the target phase difference is determined. A new trajectory for the primary aircraft that decreases the variance in the phase difference with respect to the new periodic trajectory is determined, and the primary aircraft is maneuvered to follow the new trajectory.

Abstract: Travel data may be gathered and published on a global map for use by various entities. The travel data may be captured by one or more vehicle computing devices, such as those associated with the operation and/or control of a vehicle. The vehicle computing devices may receive input from one or more sensors, and may identify and/or classify an event and/or areas of interest based on the input. The vehicle computing devices may then send travel data to the global map server for publication. Additionally or alternatively, the travel data may be captured by one or more user devices. The user devices may be configured to receive travel data, such as via a user interface, and to send the travel data to the global map server for publication. The global map server may consolidate and publish the travel data on a global map.

Abstract: Methods and devices are presented for controlling or reducing amount of downwash generated by a drone. A drone including a plurality of arms including rotors may be configured to operate and fly with arms in an elevated position with respect to a horizontal plane. The elevated arms may allow a drone to fly with reduced vertical downwash.

Abstract: A system and method of operating the same are disclosed. The system includes a surgical instrument including an energy applicator and a manipulator including a plurality of links and a plurality of actuators operatively coupled to the plurality of links for moving the energy applicator in one or more degrees of freedom. At least one controller is configured to establish an initial position of the energy applicator. The at least one controller evaluates a plurality of possible final positions for the energy applicator with respect to one or more boundaries within which the energy applicator is allowed to move and beyond which the energy applicator is restricted from moving. Based on the evaluation of the plurality of possible final positions for the energy applicator, a commanded position to which the energy applicator is able to be moved by the manipulator without crossing the one or more boundaries is established.

Abstract: Techniques for generating trajectories and drivable areas for navigating a vehicle in an environment are discussed herein. The techniques can include receiving a reference trajectory representing an initial trajectory for a vehicle, such as an autonomous vehicle, to traverse the environment. A point density can be determined for various portions of the reference trajectory. In some cases, the point density can be based at least in part on a cost associated with a curvature value associated the reference trajectory or a cost associated with a distance between the reference trajectory and an obstacle in the environment. Further, the techniques can include evaluating a cost function at points on the reference trajectory to generate a target trajectory with respect to the reference trajectory, and controlling the autonomous vehicle to traverse the environment based at least in part on the target trajectory.

Abstract: Systems and methods for managing a condition of a vehicle based on initial image data. The initial image data depicts an initial condition of a physical component of the vehicle. The system includes an image sensor and an environment sensor. The system includes processor-executable instructions to detect, via the environment sensor, an environment condition corresponding to a potential vehicle damaging event. In response to detecting the environment condition, the system generates, via the image sensor, just-in-time image data of the physical component of the vehicle. The system compares the just-in-time image data and the initial image data to identify a vehicle condition change. In response to identifying a vehicle condition change, the system transmits, to a computing device, the just-in-time image data.

Abstract: Aspects of the disclosure relate to generating a speed plan for an autonomous vehicle. As an example, the vehicle is maneuvered in an autonomous driving mode along a route using pre-stored map information. This information identifies a plurality of keep clear regions where the vehicle should not stop but can drive through in the autonomous driving mode. Each keep clear region of the plurality of keep clear regions is associated with a priority value. A subset of the plurality of keep clear regions is identified based on the route. A speed plan for stopping the vehicle is generated based on the priority values associated with the keep clear regions of the subset. The speed plan identifies a location for stopping the vehicle. The speed plan is used to stop the vehicle in the location.

Abstract: Methods and vehicles may be configured to gain experience in the form of state-action and/or action-observation histories for an operational scenario as the vehicle traverses a vehicle transportation network. The histories may be incorporated into a model in the form of learning to improve the model over time. The learning may be used to improve integration with human behavior. Driver feedback may be used in the learning examples to improve future performance and to integrate with human behavior. The learning may be used to create customized scenario solutions. The learning may be used to transfer a learned solution and apply the learned solution to a similar scenario.

Abstract: An embodiment of the invention may include a method, computer program product and computer system for environment based navigation. The method, computer program product and computer system may include computing device which may collect environment map data. The environment map data may include one or more environmental zones. The computing device may receive one or more user environment preferences from a user. The user environment preferences may include a user's preferred environmental zones and non-preferred environmental zones. The computing device may receive a destination from the user and determine one or more routes to the destination. The computing device may compare the one or more determined routes to the environment map data and the user environment preferences and display a list of the determined routes based on the user environment preference data.