Abstract: A method for satellite-based detection of vehicle location uses a motion and location sensor. GNSS data is received as an input variable, at least one further input variable is also received. Weighting factors for the input variable and the at least one further input variable are determined. The input variable and the at least one further input variable are weighted by the weighing factors. The vehicle location is detected via the weighted input variable and the weighted at least one further input variable.

Abstract: Disclosed are autonomous vehicles that may autonomously navigate at least a portion of a route defined by a service request allocator. The autonomous vehicle may, at a certain portion of the route, request remote assistance. In response to the request, an operator may provide input to a console that indicates control positions for one or more vehicle controls such as steering position, brake position, and/or accelerator position. A command is sent to the autonomous vehicle indicating how the vehicle should proceed along the route. When the vehicle reaches a location where remote assistance is no longer required, the autonomous vehicle is released from manual control and may then continue executing the route under autonomous control.

Abstract: Aspects of the disclosure relate to detecting sidewalks adjacent to roads. In this regard, a set of potential sidewalk areas adjacent to one or more roads in a vehicle's vicinity may be determined based on map data. Topology data for the set of potential sidewalk areas may be generated based on sensor data received from a perception system of the vehicle. The set of potential sidewalks may be filtered to remove areas unlikely to include a sidewalk. The vehicle may be operated based on the filtered set of potential sidewalk areas, which may include taking precautionary measures when within a predetermined distance from any of the filtered set of potential sidewalks.

Abstract: A multi-rotor vehicle includes a plurality of electric motors and edge computing systems (ECSs). The electric motors are operatively coupled to respective rotors, and cause the respective rotors to rotate relative to the airframe. The ECSs are independent, distinct and distributed to the electric motors, each operatively coupled to a respective electric motor and thereby a respective rotor. Each ECS is configured to acquire and process sensor data for the respective rotor to determine rotor status information, and execute motor commands to control the respective electric motor and thereby the respective rotor. Each ECS is configured as an integrated flight computer and motor controller.

Abstract: A device detects a trigger to dispense a product at a using a tool operably coupled to a tractor. The device determines whether the tractor is in an automated mode, the automated mode enabling autonomous speed and direction navigation of the tractor. Responsive to determining that the tractor is not in the automated mode, the device determines whether the tool is in a ready state, and responsive to determining that the tool is in the ready state, commands the tool to dispense the product, wherein the tool is not commanded to dispense the product until the tool is in the ready state. Responsive to determining that the tractor is in the automated mode, the device commands the tool to dispense the product without determining whether the tool is in the ready state.

Abstract: A methodology is described for determining a time for responding to an initial encounter by a vehicle with a map error in a map segment, wherein the initial encounter is detected by a detector. A method includes identifying an error type associated with the map error, wherein the error type is one of a first error type and a second error type; determining at least one additional factor associated with the initial encounter; determining a response time for the map error based on the error type and the at least one additional factor; and initiating a mitigating action in response to the initial encounter within the response time, wherein the response time comprises an amount of time from the initial encounter with the map error to a time at which a mitigating action should be taken.

Abstract: In some embodiments, an electronic device displays indications of safety characteristics of one or more navigational segments of a navigation route. In some embodiments, an electronic device displays navigation options. In some embodiments, an electronic device presents indications of navigation directions while navigation along a route.

Abstract: A method and system for determining a position error of an aircraft. The system comprises a set of collection modules implemented in an iterative manner, including an offset collection module, a position vector collection module, a set of sequentially implemented computation modules, including an angular alignment bias computation module, an observable position bias computation module and a position error computation module. The system thus allows a position error to be determined that is used to perform a landing in good conditions.

Abstract: In some embodiments, an electronic device displays suggested routes based on the characteristics of respective vehicles. In some embodiments, an electronic device receives data for respective vehicles from a source external to the electronic device. In some embodiments, an electronic device anonymizes a vehicle identifier and determines customized suggested routes using the anonymized vehicle identifier.

Abstract: A pose detection sensor, of a mobile agricultural machine, generates, for various points along a route traveled by the mobile machine, signals indicative of a pose of the pose detection sensor. A point cloud is identified, based on the signals generated by the pose detection sensor, the point cloud including a set of points that are estimated to correspond to a surface of the ground over which the mobile machine travels. Elevation values are generated for each point in the point cloud. In some examples, a plane is calculated based on the points in the point cloud, the plane including predictive elevation values of the ground surface ahead of the mobile machine.

Abstract: The present invention relates to an autonomous driving cart. More particularly, the present invention relates to an autonomous driving cart that stores information on a leading subject, detects the leading subject from sensed information, and follows the detected leading subject.

Abstract: A system and method for pairing a rider to a suitable electric transport device based on a variety of input parameters is described. The system involves a service provider that deploys at least two differently configured electric transport devices, and processes inputs from a user/rider such as biometric data, the rider's physical characteristics, rider experience level and preferences to pair the rider to a suitable electric transport device based on the inputs.

Abstract: In some embodiments, a system for resource transportation comprises a routing command subsystem. In some embodiments, the routing command subsystem is configured to be communicably coupled to a first input device at a first location, the first input device configured to determine a first resource factor of a resource at the first location and a location input device associated with a transporter, the transporter configured to transport the resource, the location input device configured to determine a transporter location. In some embodiments, the routing command subsystem is further configured to change a first endpoint of a transporter route to a first alternate location based at least in part on the first resource factor and the transporter location.

Abstract: In some embodiments, an electronic device displays suggested routes based on the characteristics of respective vehicles. In some embodiments, an electronic device receives data for respective vehicles from a source external to the electronic device. In some embodiments, an electronic device anonymizes a vehicle identifier and determines customized suggested routes using the anonymized vehicle identifier.

Abstract: A method of determining a parking route for a vehicle travelling on a road network within a geographic area is disclosed. A sub-network is determined comprising a subset of segments of an electronic map that are representative of roads within a predetermined walking time or distance of a destination location. Data indicative of a walking time or distance from the segment to the destination location is associated, at least with the segments of the sub-network representing roads having at least one associated parking space. A search algorithm having an associated cost function is used to explore the segments of the sub-network from an origin location to identify a plurality of candidate parking routes, wherein the cost for a given parking route is based on the probability of the vehicle successfully finding a parking space on the parking route and the expected cumulative travel and walking time or distance to the destination location should a parking space be found along the parking route.

Abstract: A method of determining whether one or more navigable elements of a navigable network within a geographic area are still affected by a precipitation weather event. A quantity parameter is associated with each segment of an electronic map representing the navigable network and indicates the amount of precipitation remaining on the navigable element or portion thereof represented by the segment. The value of the quantity parameter increases in the presence of any precipitation weather event, and decreases ac cording to a predefined function with respect to time in the absence of any such precipitation weather event. A speed of travel of one or more devices along the navigable element or portion thereof represented by a segment is determined and compared to an expected speed of travel for the segment; the value of the quantity parameter being decreased based on the comparison.

Abstract: The control system based on multi-unmanned aerial vehicle (UAV) cooperative strategic confrontation includes a management module, a UAV formation module, a situation assessment module, a decision-making module, and a cooperative mission assigning module of both sides in a confrontation. The management module is configured to store state information acquired by the UAV formation module. The UAV formation module is configured to acquire state information of UAVs and execute a control instruction. The situation assessment module is configured to acquire situation assessment information according to the state information. The decision-making module is configured to acquire a countermeasure based on the situation assessment information. The cooperative mission assigning module is configured to generate control instructions for the UAVs based on the countermeasure and in combination with a confrontation target and an optimal situation assessment value.

Abstract: A boat includes a boat body, a propulsion device, an operator that operates the propulsion device, and a controller. The propulsion device is disposed in the boat body and generates a propulsion force to move the boat body. The controller executes an automatic shore arrival control to control the propulsion device so as to cause the boat body to move toward a target position. The controller ends the automatic shore arrival control when the operator is positioned in a non-neutral position that differs from a neutral position.

Abstract: Embodiments of the present disclosure provide a method and an apparatus for controlling a vehicle, a device and a storage medium. The method includes: in response to determining that a target vehicle is located in a historical takeover area, obtaining historical control information associated with passing through a historical path in the historical takeover area, the historical takeover area indicating an area through which a vehicle in a manual control state passed in a previous period; determining a planned path for the target vehicle to pass through the historical takeover area based on the historical control information; and controlling the target vehicle to pass through the historical takeover area in an automatic control state based on the planned path.

Abstract: A method (400) and a control unit (210) for ground bearing capacity analysis. The method (400) steps include determining (401) a shape of the terrain segment (130) ahead of a vehicle (100), based on sensor measurements; predicting (402) a distance between a sensor (120) of the vehicle (100) and the ground (110) at the terrain segment (130), before the vehicle (100) moves into the terrain segment (130); measuring (403) the distance between the sensor (120) of the vehicle (100) and the ground (110) when the vehicle (100) has moved into the terrain segment (130); and determining (404) that the terrain segment (130) is to be avoided due to insufficient bearing capacity when the predicted (402) distance between the sensor (120) and the ground (110) exceeds the measured (403) distance between the sensor (120) and the ground (110). Also, a method (600) and control unit (210) for route planning of the vehicle (100) are described.