Abstract: An automated vehicle assistance system is provided for supervised or unsupervised vehicle movement. The system includes a control system and a first sensor system. The first sensor system may receive first image data of a scene and may output a first disparity map and a first confidence map based on the first image data. The control system may output a video stream based on the first disparity map and the first confidence map. The vehicle assistance system also may include a second sensor system that receives second image data of at least a portion of the scene that outputs a second confidence map based on second image data. The video stream may include super-frames, with each super-frame including a 2D image of the scene, a depth map corresponding to the 2D image, and a certainty map corresponding to the depth map.

Abstract: A device for a hydraulic braking system of a vehicle. The device includes a processing unit, which is programmed to determine at least one brake characteristic value of the hydraulic braking system, the processing unit being programmed to determine the at least one brake characteristic value as a vehicle axle-specific brake characteristic value, which in each case corresponds to a ratio between a brake pressure in all wheel brake cylinders assigned to a shared vehicle axle of the vehicle and a vehicle axle braking torque exerted on the shared vehicle axle with the aid of the wheel brake cylinders. A method for determining at least one brake characteristic value of a hydraulic braking system of a vehicle, and a method for decelerating a vehicle with a hydraulic braking system and an electric motor usable as a generator, are also described.

Abstract: Systems, methods, and other embodiments described herein relate to determining driving behaviors for controlling a vehicle. In one embodiment, a method includes generating, using textual descriptions in combination with driving log snippets, a joint feature space that represents a coordinated mapping between the textual descriptions and the driving log snippets. The method includes training a policy network to generate identified behaviors from the driving behaviors according to a correspondence between an observed context that is mapped onto the joint feature space and the driving behaviors defined in the joint feature space resulting from at least the textual descriptions. The method includes providing a behavior cloning model including at least an encoder, the joint feature space, and the policy network to generate control behaviors from the driving behaviors defined in the joint feature space according to acquired observations of a surrounding environment of the vehicle.

Abstract: Proposed are a seat for a vehicle and a method of controlling the same capable of sensing whether an occupant is snoring and of changing the posture of the occupant so as to induce sound sleep of the occupant. The seat for a vehicle includes a seat cushion, a seatback, a side bolster, a headrest, a sensing device mounted in the headrest to sense whether an occupant is on the seat and whether the occupant is snoring, a posture-changing device mounted in at least one of the seat cushion, the seatback, the side bolster, or the headrest to change the posture of the occupant, and a controller configured to determine whether the occupant is on the seat and whether the occupant is snoring based on a sensing signal output from the sensing device and to operate the posture-changing device.

Abstract: In one embodiment, a navigation system may include at least one self-describing fiducial with a communication element to communicate navigation state estimation aiding information comprising a geographic position of the self-describing fiducial with respect to one or more coordinate systems and a first navigating object to receive navigation information from an exterior system, receive navigation state estimation aiding information from the self-describing fiducial, and compare the navigation information received from the exterior system to the navigation state estimation aiding information to improve navigation parameters of the first navigating object.

Abstract: A method of calculation a vehicle load comprising calculating a first vehicle load value based at least on air pressures in air springs and height data of suspension of a vehicle axle, determining a second vehicle load value based on a change of track width of the vehicle axle, and calculating the vehicle load based on the first vehicle load value and the second vehicle load value.

Abstract: A method and apparatus for predicting a road condition, a device and a computer storage medium are disclosed. The method includes: determining at least two continuous road segments obtained by dividing a navigation path; and performing the following processing on each road segment one by one from the starting point of the navigation path to the end point thereof respectively: determining the moment when the user reaches the road segment processed currently; predicting road condition information of the road segment processed currently at the determined moment; and predicting passing duration of the user at the road segment processed currently based on the road condition information of the road segment processed currently at the determined moment.

Abstract: A vehicle traveling control method for causing a vehicle to travel along a traveling road where magnetic markers are arrayed is a control method including an azimuth measuring process of performing a process on angular velocity, which is an output of a gyro sensor, and measuring a measured azimuth indicating an orientation of the vehicle, a control process of controlling the vehicle so that the measured azimuth is matched with a target azimuth corresponding to a direction of the traveling road, and a correction process of correcting a degree of control by the control process, in order to bring a lateral shift amount of the vehicle with reference to each of the magnetic markers closer to zero, in accordance with the lateral shift amount.

Abstract: Various technologies described herein pertain to causing presentation on a user interface of an immediate portion of a navigation route of an autonomous vehicle. A computing system of the autonomous vehicle determines whether an object detected by sensor(s) of the autonomous vehicle proximate to the immediate portion of the navigation route are of a type and relative position defined as one of consequential and inconsequential for a human passenger. In response to determining that an object has both a type and relative position defined as consequential, the computing system causes presentation on the user interface a representation of the object relative to the immediate portion of the navigation route to provide a confidence engendering indication that the autonomous vehicle has detected the object. Otherwise if inconsequential, presentation on the user interface of any representation of the object is not caused by the computing system to avoid creating a confusing presentation.

Abstract: An agricultural harvesting machine includes a harvested crop repository having a fill capacity, a crop processing system configured to engage crop in a field, perform a crop processing operation on the crop, and move the processed crop to the harvested crop repository, a fill level sensor configured to generate a fill level signal indicative of a current fill level of the harvested crop repository, and a control system configured to obtain a machine path definition that represents a machine path for the agricultural harvesting machine, wherein the machine path definition defines a turn pattern and a land size of a land in the field, identify a rendezvous point in the field for the agricultural harvesting machine and a haulage vehicle based on the machine path definition, and generate a control signal based on the rendezvous point.

Abstract: This disclosure describes monitoring and operating subsea well systems, such as to perform operations in the construction and control of targets in a subsea environment. A submersible ROV that performs operations in the construction and control of targets (e.g., well completion components) in a subsea environment, the ROV has one or more imaging devices that capture data that is processed to provide information that assists in the control and operations of the ROV and/or well completion system while the ROV is subsea.

Abstract: A method for determining an orientation of a trailer, the trailer being configured to be coupled to a towing vehicle, includes detecting a relation of movements of at least two wheels of the trailer, upon moving the trailer, with at least one sensor arranged at the trailer for detecting a respective state of the at least two wheels. The method further includes calculating an orientation of a coupling device of the trailer based on the relation of the at least two wheels.

Abstract: A method for synchronizing signals of a plurality of participants. A relationship between the signals is given by a physical relation. The signals are each filtered with a first filter in order to determine a shift between the signals. The determined shift is a measure of the phase shift between the signals. The shift is subsequently eliminated by filtering the signals respectively with a second filter.

Abstract: An unmanned ground vehicle (UGV) includes one or more motors configured to drive one or more wheels of the UGV, a memory storing instructions, and a processor coupled to the one or more motors and the memory. The processor is configured to execute the instructions to cause the UGV to determine location information of a movable target; calculate a direction and a speed for the unmanned ground vehicle based on the determined location information; and drive the one or more motors to move the unmanned ground vehicle in the calculated direction at the calculated speed to follow the movable target when the movable target moves.

Abstract: A mobile robot includes: a drive unit that changes a moving speed and a travel direction; a detection unit that detects a plurality of detection target objects 11; and a control unit 27 that acquires a distance Z and a direction ? to the detection target object unit, calculates a travel direction in which the distance and the direction to the detection target object satisfy a predetermined relationship, and drives and controls the drive unit on the basis of the calculated travel direction. The control unit calculates a distance x in a direction orthogonal to the movement route between the detection target object and a current position of the mobile robot and the direction to the detection target object, calculates a difference ?x between the distance x and a certain distance Xref, and executes drive control for the drive unit to cause the difference ?x to be 0 (zero).

Abstract: An autonomous mobile device (AMD) operating in a first mode moves within a physical space to perform various tasks such as displaying information on a screen, following a user, and so forth. The first mode may involve the AMD moving or maintaining a particular pose. While the AMD is in the first mode, a user may apply an external force to the AMD to reposition the AMD to a desired pose. Application of this external force on the AMD is detected and results in the AMD transitioning to a second mode in which the AMD may be repositioned. While in the second mode, the user may reposition the AMD. The second mode may constrain the magnitude of the resulting movement, preventing the user from moving the AMD too quickly which could damage components within the AMD. Once the external force ceases, the AMD may transition back to the first mode.

Abstract: The present invention provides a self-moving device, including: a housing, in which a primary cavity is formed; a moving module, mounted on the housing, and configured to actuate the self-moving device to move; a primary working module, mounted on the housing, and configured to perform a work task; a control module, including a main control board, and configured to control the moving module to actuate the self-moving device to move, and control the primary working module to perform the work task, where: the main control board is disposed in the primary cavity, where at least one secondary cavity is further formed in the housing; the secondary cavity is configured to mount at least one functional module different from the moving module and the primary working module; and the self-moving device includes at least one first interface corresponding to the secondary cavity and capable of connecting to a second interface of the functional module, and the first interface is connected to the second interface, so that

Abstract: A method for operating a motor vehicle including an actuating element which is, in particular steplessly, displaceable between a first end position and a second end position. An instantaneous position of the actuating element is monitored. A deceleration torque being predefined for the motor vehicle when the instantaneous position is in a deceleration range situated between the first end position and a predefinable change position, and an acceleration torque being predefined for the motor vehicle when the instantaneous position is in an acceleration range situated between the second end position and the change position. A monitoring is carried out for the occurrence of at least one disturbance variable which influences an actual deceleration of the motor vehicle effectuated by the deceleration torque, the deceleration torque being changed as a function of a detected disturbance variable.

Abstract: Predictive maintenance and diagnostics for an electronic module of an autonomous vehicle using modular condition monitoring is described herein. A computing system receives a signal from a data logger which monitors a condition of the electronic module of the autonomous vehicle, wherein the signal is indicative of damage accumulation information thereof. The computing system identifies a type of the electronic module and a damage accumulation threshold for the type of the electronic module to generate a predicted maintenance schedule for the electronic module of the autonomous vehicle. The damage accumulation information can be stored in a data store to define the damage accumulation threshold for the type of the electronic module.

Abstract: A software product and methods determine a field coverage method for a nonholonomic robot to process a field using parallel lanes. A cellular decomposition algorithm divides the field into a plurality of cells, each having a plurality of parallel lanes. Permutations of lane processing orders are determined for each cell, based upon a minimum turning radius of the robot. A cell graph is generated to determine a shortest path for single-time processing each lane in each cell without violating the minimum turning radius of the robot. A step list defining movement of the nonholonomic robot along each lane in each cell of the shortest path through the cell graph is generated, and transits between the lanes, and laps around the field and any obstacles are added. A path program to control the nonholonomic robot to process the field is generated based upon the step list.