Patent classifications
G05D1/00
METHOD FOR OPERATING AN AT LEAST TEMPORARILY UNMANNED AIRCRAFT OR SPACECRAFT AND AN AIRCRAFT OR SPACECRAFT OF THIS TYPE
A method for operating an, at least temporarily, unmanned aircraft or spacecraft wherein a flight procedure of the aircraft or spacecraft is carried out in controlled airspace using a previously cleared flight plan, wherein a C2 link is at least temporarily unavailable, and wherein at least one sensor device of the aircraft or spacecraft identifies a dangerous and/or emergency situation which makes it necessary to deviate from the cleared flight plan. To have available a method which makes it possible for an at least temporarily unmanned aircraft or spacecraft to react independently to particular dangerous and/or emergency situations and to avoid damaging events, a control device of the aircraft or spacecraft independently uses a wireless data link to a supervisory authority in order to agree to a changed flight plan containing at least one change.
CONTROL DEVICE OF VEHICLE
A control device of a vehicle comprises: a driving plan generating part 90 configured to generate a driving plan in automated driving of the host vehicle; a package extracting part 91 configured to extract driving assistance packages packaging permissions for a plurality of driving assistance operations based on at least one of the surrounding environment information, the vehicle information, and the driver information; a package proposing part 92 configured to propose driving assistance packages to the driver of the host vehicle based on the driving assistance packages extracted by the package extracting part and the driving plan; and an automated driving executing part 93 configured to perform driving assistance operations permitted in a driving assistance package proposed by the package proposing part and approved by the driver of the host vehicle.
SYSTEMS FOR AUTONOMOUS VEHICLE ROUTE SELECTION AND EXECUTION
A system for determining and executing an autonomous-vehicle vehicle travel route, including a hardware-based processing unit and a non-transitory computer-readable storage medium. The storage medium includes an input-interface module that, when executed by the hardware-based processing unit, obtains factor data indicating factors relevant to determining a vehicle travel route. The storage medium also includes a route-generation module comprising a route-complexity sub-module. The route-complexity sub-module determines, based on the factor data, route-complexity indexes corresponding to respective optional routes. The route-generation module determines the vehicle travel route based on the route-complexity indexes. The storage in various embodiments includes other sub-modules associated with other elements, such as autonomous-driving safety, comfort, stress, pollution, scenery, or infrastructure-accessibility, for determining and executing an autonomous-driving travel route. In some embodiments, the storage includes an autonomous-driving perceptions module and an autonomous-driving control module for modifying vehicle functions in executing the autonomous-driving travel route.
CONTROL DEVICE, CONTROL METHOD, COMPUTER PROGRAM PRODUCT, AND ROBOT CONTROL SYSTEM
A control system, method and computer program product cooperate to assist control for an autonomous robot. The system includes a communications interface that exchanges information with the autonomous robot. A user interface displays a scene of a location in which the autonomous robot is positioned, and also receives an indication of a user selection of a user selected area within the scene. The communications interface transmits an indication of said user selected area to the autonomous robot for further processing of the area by said autonomous
SYSTEM FOR GAME PLAY WITH MULTIPLE REMOTE-CONTROL FLYING CRAFT WITH WIRELESS COMMUNICATION
A gaming system for enabling three-dimensional game play of remote-control craft controlled by a controller, each craft including a communication system with both radio frequency (RF) and infrared (IR) capabilities. The system can include a plurality of hovering remote-control flying craft each controlled by a handheld controller, and further may include at least one additional game accessory elements, such as a puck, a ground station or a gun. Each pairing of craft and controllers communicate via an RF protocol that transmits at least control communications between the controller and the craft based on pair identification information in an RF communication protocol. The craft and game-accessory elements also communicate via at least an IR protocol that communicates game-play information. Selectable pairs of craft and controllers may be assigned to different teams for playing multiplayer team games based on team identification information in the RF communication protocol.
REMOTE-CONTROL FLYING COPTER
A hovering remote-control flying craft having a molded frame assembly includes a plurality of arms extending from a center body with an electric motor and corresponding propeller on each arm. In various embodiments, the motor and propeller are mounted downward-facing at a distal portion of each arm with a motor cover over the motor. The center body can be formed of a two-piece molded structure that sandwiches a circuit board to provide structural support for the frame. The circuit board can include a plurality of tabs that facilitate mounting of wire connectors, and can also provide antennas and emitters for both IR and RF communications. In some embodiments, a removable safety ring protects the propellers from lateral contact.
Behavior and intent estimations of road users for autonomous vehicles
As an example, data identifying characteristics of a road user as well as contextual information about the vehicle's environment is received from the vehicle's perception system. A prediction of the intent of the object including an action of a predetermined list of actions to be initiated by the road user and a point in time for initiation of the action is generated using the data. A prediction of the behavior of the road user for a predetermined period of time into the future indicating that the road user is not going to initiate the action during the predetermined period of time is generated using the data. When the prediction of the behavior indicates that the road user is not going to initiate the action during the predetermined period of time, the vehicle is maneuvered according to the prediction of the intent prior to the vehicle passing the object.
Machine-learned model training for pedestrian attribute and gesture detection
Techniques for detecting attributes and/or gestures associated with pedestrians in an environment are described herein. The techniques may include receiving sensor data associated with a pedestrian in an environment of a vehicle and inputting the sensor data into a machine-learned model that is configured to determine a gesture and/or an attribute of the pedestrian. Based on the input data, an output may be received from the machine-learned model that indicates the gesture and/or the attribute of the pedestrian and the vehicle may be controlled based at least in part on the gesture and/or the attribute of the pedestrian. The techniques may also include training the machine-learned model to detect the attribute and/or the gesture of the pedestrian.
Vehicle location assistance using audible signals
Aspects of the present disclosure relate to using audible cues to guide a passenger to a vehicle having an autonomous driving mode. For instance, one or more processors of the vehicle may receive, from a server computing device, instructions to pick up the passenger at a pickup location. The one or more processors may maneuver the vehicle towards the pickup location in the autonomous driving mode. The one or more processors may receive a signal indicating that the passenger requests assistance locating the vehicle. The one or more processors may use the signal to generate the audible cues. The audible cues may be played by the one or more processors through a speaker of the vehicle in order to guide the passenger towards the vehicle.
Communications system for controlling steerable antennas
A communication optimization system/method for mobile networks uses a server that generates waypoints based on a first communication network within a route to be travelled by an aerial vehicle, the aerial vehicle comprising a communication hub configured to communicate with at least one communication node, a communication hub controller configured control movement of a steerable antenna, and an aerial vehicle controller configured control movement of the aerial vehicle. The server then transmits the waypoints to the aerial vehicle controller; periodically monitors networks not connected to the communication hub; when a second communication network not connected to the communication hub satisfies a threshold, transmits causes the communication controller to steer the steerable antenna in a direction of the second communication network, further causing the communication hub to communicate and connect with the second communication network.