Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for unmanned aerial vehicle modular command priority determination and filtering system. One of the methods includes enabling control of the UAV by a first control source that provides modular commands to the UAV, each modular command being a command associated with performance of one or more actions by the UAV. Modular commands from a second control source requesting control of the UAV are received. The second control source is determined to be in control of the UAV based on priority information associated with each control source. Control of the UAV is enabled by the second control source, and modular commands are implemented.

Abstract: An electric drive system for a vehicle includes first and second three-phase electric machines driving a vehicle axle and an electrical energy store electrically supplying the first and second three-phase electric machines during a driving operation of the vehicle. A first and second inverter of the first and second three-phase electric machines, respectively, are each coupled to the electrical energy store. The system also includes an onboard charging terminal for electrically coupling the electrical energy store to a charging unit external to the vehicle. According to the first and/or second inverter, a charging voltage of the onboard charging terminal is converted into a supply voltage for charging the electrical energy store.

Abstract: This application relates to a method for establishing a finalized route for transporting passengers throughout a region to an event, is described. The method includes determining a tentative route for transporting the passengers to the event, where determining the tentative route includes: determining event information for the event that is scheduled to occur in the region, where the event information includes at least one of (i) a time associated with the event or (ii) a location associated with the event. The method further includes determining the finalized route for transporting the passengers to the event by adjusting the tentative route, where adjusting the tentative route includes at least one of (i) determining a change in status of the tentative route or (ii) determining a geographical condition associated with the region. The method further includes publishing the finalized route.

Abstract: Aspects of the disclosure relate to providing transportation services with autonomous vehicles. For instance, a first route to a first destination may be determined. The first route may have a first cost. Weather information for the first destination may be received. A characteristic is determined based on the weather information. A second destination having the characteristic may be selected. The second destination may be different from the first destination. A second route to the second destination may be determined. The second route may have a second cost. The first cost may be compared to the second cost, and the vehicle may use the comparison to set one of the first destination or the second destination as a current destination for a vehicle to cause the vehicle to control itself in an autonomous driving mode to the current destination.

Abstract: A controller for a counter measure system against unmanned aerial vehicles (UAVs) includes a display device and a processor configured to receive target position data of a target UAV, effector position data of at least one counter measure effector, and effector orientation data of the at least one counter measure effector relative to geographic cardinal directions. The processor is also configured to determine a field of effect of the at least one counter measure effector on the basis of the effector position data and the effector orientation data. The field of effect is indicative of an area covered by electromagnetic radiation emitted, in use, by the at least one counter measure effector. The processor is further configured to generate a display signal for displaying, on the display device, the position of the target UAV with respect to the field of effect of the at least one counter measure effector.

Abstract: A method navigates a robotic mower (2) by means of a wire (8). The robotic mower (2) comprises at least two sensors (12; 14). The method comprises detecting (S101), by means of the at least two sensors (12, 14), at least one signal from the wire (4a; 8; 10), measuring (S102) a polarity of the at least one signal of the wire (4a; 8; 10) by means of each one of the at least two sensors (12, 14), determining (S103) a direction based on the polarities measured by means of the at least two sensors (12, 14) and turning (S104) the robotic mower (2) towards the determined direction.

Abstract: A cycling power meter includes at least one sensor and a controller. The controller is configured to derive a cycling power based on at least one output of the least one sensor and perform a zero-power calibration on the basis of the at least one output in a non-load condition. The calibration occurs through the steps of: computing at least one statistical index relative to the at least one output; evaluating whether the at least one statistical index A) falls or B) does not fall within a respective predetermined set of values; and performing the calibration in case A) or not performing the calibration in case B).

Abstract: A traffic line detection method includes obtaining a plurality of points at which at least one moving object is detected in a plurality of image frames, detecting a traffic lane using the plurality of points, and detecting a traffic line using the traffic lane.

Abstract: Systems and methods for operating a mining machine with respect to a geofence. One system includes an electronic processor configured to determine a first virtual operation zone positioned around the mobile industrial machine, where the first virtual operation zone is a dynamic area around the mobile industrial machine. The electronic processor is also configured to modify a parameter of the first virtual operation zone.

Abstract: A method and system provide for on-board localization in a unmanned aerial system (UAS). A map image is generated (using previously acquired images) of an area that the UAS is overflying. The map image is then processed by orthorectifying, referencing the map image in a global reference frame, and generating an abstract map by detecting features and locating the features in the global reference frame. The UAS is then localized by acquiring camera images during flight, selecting a subset of the camera images as localization images, detecting on-board image features (in the localization images), mapping features from the detected on-board image features to the abstract map, deleting outliers to determine an estimated 3D pose, and refining the 3D pose. The localized UAS then used to autonomously navigate the UAS.

Abstract: A computer-implemented method of evaluating the performance of a target planner for an ego robot comprises receiving evaluation data for evaluating the performance of the target planner in the scenario, generated by applying the target planner at incrementing planning steps, to compute a series of ego plans that respond to changes in the scenario and are implemented in the scenario to cause changes in an ego state. The evaluation data includes the ego plan computed by the target planner at one of the planning steps, and a scenario state at a time instant of the scenario. The evaluation data is used to evaluate the target planner by computing a reference plan for said time instant based on the scenario state, the scenario state including the ego state at that time instant, and computing at least one evaluation score for comparing the ego plan with the reference plan.

Abstract: A vehicle guidance system provides a travel function for automated longitudinal guidance of a motor vehicle at a signaling unit. The vehicle guidance system is designed to determine environmental data based distance from an upcoming first signaling unit on the basis of environmental data from one or more environmental sensors, and to determine a map data based distance from the upcoming first signaling unit on the basis of map data relating to a road network. The vehicle guidance system is further designed to determine an estimated value of the distance from the first signaling unit on the basis of the environmental data based distance and on the basis of the map data based distance, and to bring about the automated longitudinal guidance of the vehicle at the first signaling unit on the basis of the estimated value of the distance from the first signaling unit.

Abstract: A navigation system for a host vehicle is provided. The system may comprise at least one processing device comprising circuitry and a memory. The memory includes instructions that when executed by the circuitry cause the at least one processing device to: receive a plurality of images acquired by a camera, the plurality of images being representative of an environment of the host vehicle; analyze the plurality of images to identify a presence in the environment of the host vehicle a navigation rule suspension condition; temporarily suspend at least one navigational rule in response to identification of the navigation rule suspension condition; and cause at least one navigational change of the host vehicle unconstrained by the temporarily suspended at least one navigational rule.

Abstract: A positioning apparatus (100) detects pseudo ranges and carrier phase integrated values from ranging signals (L1C/A) for which augmentation information ([LC/A]) is provided, detects pseudo ranges and carrier phase integrated values from ranging signals (B1C) for which augmentation information is not provided, acquires correction data ([LC/A]) for the ranging signals generated from the augmentation information, corrects the pseudo ranges and the carrier phase integrated values of the ranging signals (L1C/A) with the correction data ([LC/A]), generates a first observation equation using the corrected pseudo ranges and carrier phase integrated values of the ranging signals (L1C/A), generates a second observation equation using a time difference value between the pseudo ranges and a time difference value between the carrier phase integrated values of the ranging signals (B1C), and performs positioning by executing a filter operation using the first observation equation and the second observation equation.

Abstract: In a vehicle in which a traffic congestion autonomous driving operation and a driver required driving operation are executable, a display relating to a driving operation exchange from the traffic congestion autonomous driving operation to the driver required driving operation is performed when a switching from the traffic congestion autonomous driving operation to the driver required driving operation is requested, a situation of the vehicle is specified such that the switching from the traffic congestion autonomous driving operation to the driver required driving operation is requested, and at least one of a timing of the display and a content of the display relating to the driving operation exchange is changed according to the situation.

Abstract: A tracking system for tracking the movement of a moving entity is provided. The tracking system comprises a tracking device configured to move together with the moving entity and provide data associated with the movement of the moving entity, and a detection module configured to, on the basis of the data associated with the movement of the moving entity, perform a detection process to detect an anomaly in the data, the detection process comprising a machine learning algorithm. The tracking system is further configured to, in case the anomaly is detected, issue an alert message to be processed at a control station.

Abstract: A method of processing data for a driving automation system, the method comprising steps of: obtaining image data from a camera of an autonomous vehicle, AV; image processing the image data to obtain a vehicle registration mark, VRM, of another vehicle within the surrounding area of the AV; looking up the VRM in a vehicle information database to obtain information indicative of the make, the model and the date of manufacture of the other vehicle; looking up information indicative of the make, the model and the date of manufacture of the other vehicle in a vehicle dimensions database to obtain at least one dimension of the other vehicle; and updating a context of the autonomous vehicle based on said at least one dimension of the other vehicle.

Abstract: A method of processing data for a driving automation system, the method comprising steps of: obtaining sound data from a microphone of an autonomous vehicle; processing the sound data to obtain a sound characteristic; and updating a context of the autonomous vehicle based on the sound characteristic.

Abstract: A system determines at least one driving style, reflecting driving behavior for a driver of a vehicle and based on inputs from a plurality of vehicle systems. The system receives a plurality of wireless signals from elements within a wireless communication range, each signal indicating the behavior of one or more drivers of other vehicles within a predefined distance of the vehicle. Further, the system determines, based on the wireless signals, whether one or more drivers are exhibiting behavior comparable to the driver of the vehicle based on predefined comparison thresholds and, responsive to determining that one or more drivers are exhibiting comparable behavior, provides guidance as to how to maneuver the vehicle to reach the vehicles driven by the one or more drivers exhibiting comparable behavior.

Abstract: A vehicle guidance system provides a driving function for automated longitudinal guidance of a vehicle. The vehicle guidance system is designed to determine data relating to a first signaling unit located ahead in the travel direction of the vehicle. Furthermore, the vehicle guidance system is designed to operate the driving function in an automatic mode or in a manual mode at the first signaling unit depending upon the data relating to the first signaling unit, and in the automated longitudinal guidance of the vehicle the first signaling unit is taken into account automatically in the automatic mode, and in the manual mode only after confirmation by a user.