Abstract: An aerial vehicle includes a hull containing the main processor, energy storage, support components such as sensors, wireless communication, and landing gear. Attached to the hull are at least three thrust or propulsion units each with two degrees of freedom from the hull allowing them to orient independently in any direction and apply thrust independently from the hull or any other thrust or propulsion unit. In some embodiments, a mount for auxiliary attachments is included or the auxiliary system is built into the hull. Components like the energy storage, auxiliary attachments, and/or propulsion units may also be replaceable as required.

Abstract: Technical solutions are described for vehicle collision prevention for a vehicle when the vehicle is in a parked condition. An example method includes performing a stationary safety monitoring when the vehicle is in parked condition. The stationary safety monitoring includes detecting presence of a moving object within a predetermined region from the vehicle. Further, the method includes, in response to detecting the moving object in the predetermined region initiating a notification for the moving object to prevent collision with the vehicle.

Abstract: A method for braking a host vehicle receives input indicative of transmitted travel data of an external object. A current distance between the host vehicle and the external object is calculated based upon travel data of the host vehicle and the external object. Pressure in a brake system of the host vehicle is precharged based upon the current distance, to reduce delay in a response of the brake system. A controller configured to perform the braking method is provided. A host vehicle is also provided with a brake system and the vehicle controller.

Abstract: A system and method for maintaining health of a fleet of assets implementing an asset maintenance framework for collective anomaly detection that provides for a more accurate maintenance planning solution for the fleet or assets that may be prioritized. Based on a Bayesian multi-task multi-modal sparse mixture of sparse Gaussian graphical models (MTL-MM GGM), the methods combine the variational Bayes framework with (1) Laplace prior-based sparse structure learning and (2) an 0-based sparse mixture weight selection approach. Dual sparsity is guaranteed over both variable-variable dependency and mixture components to efficiently learn multi-modal distributions that are observed in various applications. A generated model represents the fleet-level CbM model as a combination between two model components: 1) S sets of sparse mixture weights representing individuality of the assets in the fleet; and 2) One set of sparse GGMs that are shared with the S assets to represent commonality across the S assets.

Abstract: A parking assist method includes acquiring recognition information on parked vehicles existing in a parking lot; extracting two or more vehicles parked side by side from the recognition information and grouping the two or more vehicles into a set of vehicles; and when a space into which parking is possible exists between the parked vehicles included in the grouped set of vehicles, estimating the space as an available parking space. The disclosure further includes setting a pathway direction reference line extending along a pathway of the parking lot; calculating reference distances between the pathway direction reference line and the parked vehicles included in the above recognition information; and extracting the two or more vehicles from the above recognition information and grouping the two or more vehicles into the set of vehicles on the basis of the calculated reference distances.

Abstract: The technology relates to controlling a vehicle in an autonomous driving mode, the method. For instance, a vehicle may be maneuvered in the autonomous driving mode using pre-stored map information identifying traffic flow directions. Data may be received from a perception system of the vehicle identifying objects in an external environment of the vehicle related to a traffic redirection not identified the map information. The received data may be used to identify one or more corridors of a traffic redirection. One of the one or more corridors may be selected based on a direction of traffic flow through the selected corridor. The vehicle may then be controlled in the autonomous driving mode to enter and follow the selected one of the one or more corridors based on the determined direction of flow of traffic through each of the one or more corridors.

Abstract: A method operating a telematics device of a vehicle can include: requesting identity (ID) information of a driver from a driver terminal when the driver enters the vehicle; performing an authentication process using the ID information; preventing start-up of an engine of the vehicle when the driver is identified as a temporary user according to the authentication process; receiving navigation data including information relating to a destination from the driver terminal; acquiring information indicating an estimated insurance fee corresponding to each of one or more paths for navigating to the destination; transmitting the information indicating the estimated insurance fee to the driver terminal; and starting the engine when one of the one or more paths for navigating to the destination is selected by the driver terminal.

Abstract: In response to sensor data received from sensors mounted on an autonomous vehicle, a surrounding environment is perceived based on the sensor data. The surrounding environment includes multiple sub-environments. For each of the sub-environments, one of a plurality of driving scenario handlers associated with the sub-environment is identified, each driving scenario handler corresponding to one of a plurality of driving scenarios. The identified driving scenario handler is invoked to determine an individual driving condition within the corresponding sub-environment. An overall driving condition for the surrounding environment is determined based on the individual driving conditions provided by the identified driving scenario handlers. A route segment is planned based on the overall driving condition of the surrounding environment, the route segment being one of a plurality of route segments associated with a route. The autonomous vehicle is controlled and driven based on the planned route segment.

Abstract: A computer-implemented method, computer program product, and computer system may include determining, by a computing device, a first location on a body of water. The first location may be transmitted to a drone buoy. Data may be received from the drone buoy. A second location on the body of water to send to the drone buoy may be determined based upon, at least in part, the data received from the drone buoy.

Abstract: A seat, a motion control method thereof and a motion control system thereof. The motion control method for the seat includes: acquiring images of around the seat, and tracking a current caregiver via image recognition; determining a relative position between the current caregiver and the seat; and controlling a motion of the seat based on the relative position.

Abstract: Methods and system for monitoring and evaluating irregularities on a sensor lens of a vehicle sensor are disclosed. One embodiment of a method includes the steps of providing the vehicle with an actuator configured to move the sensor lens and a controller in electronic communication with the actuator, receiving sensor data corresponding to at least one characteristic of a vehicle environment from the at least one sensor, evaluating the sensor data to determine if the sensor data indicates an irregularity on the sensor lens of the at least one sensor, classifying the irregularity, storing irregularity data corresponding to the classified irregularity in a non-transient, computer-readable data medium, and, in response to the classified irregularity, automatically controlling the actuator to move the sensor lens from a first position to a second position.

Abstract: In a method for avoiding an overheating of a brake of a vehicle, in particular of a commercial vehicle and/or a trailer, a first temperature signal and at least a second temperature signal are read in, with the first temperature signal representing a temperature of the brake and/or of a functional part of the brake, and the at least second temperature signal representing at least one additional temperature of at least one additional brake of the vehicle. An error state of the brake is detected using the first temperature signal and the second temperature signal in order to avoid an overheating of the brake. A control device for carrying out the method is also disclosed.

Abstract: A system for monitoring a steering angle of a wheel of a steering assembly of a vehicle may include a sensor cap configured to be coupled to a steering knuckle of the steering assembly at an open end of a bore defined by the steering knuckle such that the sensor cap is mounted for rotation with the steering knuckle about a kingpin. In addition, the system may include a kingpin sensor configured to be coupled between the sensor cap and the kingpin. The kingpin sensor may be configured to detect relative rotation between the steering knuckle and the kingpin.

Abstract: A work machine includes: a chassis; a backhoe assembly carried by the chassis, the backhoe assembly including: a boom pivotably linked to the chassis at a boom pivot point; a boom angle sensor associated with the boom pivot point; a stick extendably linked to the boom; a stick extension sensor associated with the stick; a bucket pivotably linked to the stick at a bucket pivot point; and a bucket angle sensor associated with the bucket pivot point. A controller coupled to the boom angle sensor, the stick extension sensor, and the bucket angle sensor is configured to: determine a boom angle of the boom; determine a stick extension of the stick; determine a bucket angle of the bucket; and output a bucket location signal corresponding to a current bucket position and a current bucket orientation, relative to the chassis, based on the determined boom angle, stick extension, and bucket angle.

Abstract: A vehicle includes a traction control system. The vehicle includes a controller configured to indicate, on a display, a recommended speed based on a precipitous deposit, a temperature, and a speed limit, and activate the traction control system before the vehicle crosses the vector. The indication and activation may be responsive to an expected route of the vehicle crossing the expected precipitous deposit of a weather prediction vector received from a source offboard the vehicle.

Abstract: In one embodiment, a fog computing-based fueling kiosk forms a fueling connection with a vehicle and a direct network connection between the kiosk and a gateway for a network of the vehicle. The fueling kiosk provides energy to the vehicle via the fueling connection and receives, via the network connection with the gateway for the network of the vehicle, operational data from the network of the vehicle, while providing the energy to the vehicle via the fueling connection. The fueling kiosk performs an analysis of the received operational data from the vehicle and provides a result of the performed analysis to a remote device.

Abstract: A system for sparse map autonomous navigation of a vehicle along a road segment may include at least one processor. The at least one processor may be programmed to receive a sparse map of the road segment. The sparse map may have a data density of no more than 1 megabyte per kilometer. The at least one processor may be programmed to receive from a camera, at least one image representative of an environment of the vehicle, and determine an autonomous navigational response for the vehicle based on the analysis of the sparse map and the at least one image received from the camera.

Abstract: A cruise control apparatus controls travel of an own vehicle based on a predicted course which is a future travel course of the own vehicle. The cruise control apparatus includes a first predicted course calculating unit and a second predicted course calculating unit, as a plurality of course prediction means for calculating a predicted course, and is provided with a course change determination unit for determining whether a change in the course is to be performed and a prediction switching unit which performs switching to enable one of a first predicted course calculated by the first predicted course calculating unit and a second predicted course calculated by the second predicted course calculation unit, the switching being based on a result of determination made by the course change determination unit as to whether a change in the course is to be performed.

Abstract: A method for a data processing installation for obtaining an operating state of a first autonomous vehicle. The method includes determining a current state of the first autonomous vehicle from a received measurement value of a sensor of a second vehicle. When the current state of the first autonomous vehicle deviates from a setpoint state, the method includes sending a first message to the first autonomous vehicle, wherein the first message contains a command to travel autonomously to a service location. Alternatively, the method includes sending a second message to a person responsible for the first autonomous vehicle, wherein the second message includes information about the deviation of the current state of the first autonomous vehicle from the setpoint state. Alternatively, the method includes sending a third message to service personnel, wherein the third message contains an instruction for the service personnel to set the vehicle to the setpoint state.

Abstract: A mining machine management system includes a detection unit mounted on a mining machine that travels in a mine in which a plurality of landmarks is installed, and which detects a position of the landmark with respect to the mining machine in a non-contact manner, and a traveling control unit which corrects a current position of the mining machine based on a position of the landmark, the position having been obtained in advance, and the position of the landmark obtained by the detection unit and causes the mining machine to travel by dead reckoning navigation, and which does not use at least the position of the landmark detected by the detection unit in causing the mining machine to travel by the dead reckoning navigation, when a vehicle traveling in the mine exists around the position of the landmark detected by the detection unit.