Abstract: A vehicle is provided that includes an imaging device located on the vehicle and oriented to capture images, memory storing one or more pet profiles, and a controller processing the captured images to detect a pet and determining at least one of an estimated pose of the pet and a gait of the pet, wherein the processor determines a bone structure of the pet from the at least one estimated pose and gait and compares the bone structure to the one or more pet profiles to detect an authorized pet, the controller controlling one or more vehicle related features based on the detected authorized pet.

Abstract: An indication of an intention of making a lane change to an adjacent lane that is issued from a preceding vehicle that travels in the same lane as an own vehicle is sensed while causing the own vehicle to travel while following the preceding vehicle. When the indication of the intention of making the lane change is sensed, deviation of the preceding vehicle toward the adjacent lane from an occupied region that is occupied by the own vehicle in traveling in the lane is sensed. Then, when deviation of the preceding vehicle from the occupied region is sensed, acceleration suppression for causing the own vehicle to travel while following the preceding vehicle is canceled.

Abstract: An agricultural machine includes a vehicle body, a travel switch operable to issue a command to start autonomous travel of the vehicle body, and an autonomous travel controller to perform autonomous travel of the vehicle body based on a planned travel line when the command is issued. When the command is issued by operating the travel switch, if at least one of a positional deviation between the planned travel line that is selected and the vehicle body and an orientational deviation between the planned travel line and an orientation of the vehicle body is greater than or equal to a corresponding one of respective first thresholds, the autonomous travel controller is configured or programmed to perform line alignment to make the positional deviation and the orientational deviation less than the respective first thresholds.

Abstract: A vehicle and a control method thereof may increase a shooting angle of a camera mounted on the vehicle to photograph without limitation of the shooting angle. The method of controlling a vehicle including at least one camera, the control method including: adjusting a direction of a vehicle body to adjust a shooting direction of the at least one camera to a target direction thereof; and controlling the at least one camera to photograph in the adjusted shooting direction.

Abstract: Embodiments of the present disclosure provide a system and a method of controlling a robot for autonomous navigation. The method includes receiving a set of point values defining LIDAR data from a LIDAR sensor scanning a 2D omnidirectional plane, receiving a sensor value from an ultrasonic sensor having a 3D field of view excluding the plane, and resolving an observable field of view for the LIDAR sensor, where the observable field of view includes a blind spot of the LIDAR sensor, and modifying the LIDAR data using the sensor value based on the object being located in the blind spot indicated by the sensor value less than one or more point values corresponding to a portion of the plane extending along the observable field of view, where the modified LIDAR data indicates the object being detected by the LIDAR sensor despite the object located outside the 2D field of view.

Abstract: System, methods, and computer-readable media for an object path prediction model, and an associated training technique, to output a path that is considered an object collision path. The object path prediction model outputs a set of predicted paths for the object that are outputted to a trained planning algorithm, which includes paths that are most likely to occur and a path that is considered an object collision path. The predicted paths are sent to the trained planning algorithm and used for planning a trajectory for the autonomous vehicle that is associated with a low probability of colliding with or taking a sudden evasive action to avoid the object.

Abstract: A cruise control method and system, and a vehicle, the method being applied to a first vehicle. When the first vehicle is driving in a first lane, before the first vehicle enters from the first lane into a preset recognition region to thereby complete vehicle identity recognition in the preset recognition region, the cut-in probability of a second vehicle cutting into the first lane can be predicted according to a movement parameter of the second vehicle that is in an adjacent second lane, and it is determined, according to the cut-in probability and the stopping time of the first vehicle, whether to brake to stop the first vehicle; therefore, during the process of controlling the first vehicle to pass through the preset recognition region, the driver is not required to temporarily take over control of the first vehicle.

Abstract: A system and method for alerting when a trend vector associated with a traffic aircraft is predicted to intercept a travel route of an ownship aircraft. A control module receives real-time aircraft state data, flight plan data, and traffic data associated with the traffic aircraft. The control module processes these data and constructs the travel route of the ownship aircraft from the current location to the intended destination The control module generates the trend vector associated with the traffic aircraft, predicts a location of an intersection of the trend vector and the travel route, determines an amount of time it will take for the ownship aircraft to reach the location of the intersection, and generates display commands that cause the display device to generate an alert that visually distinguishes the location on the image based at least in part on the amount of time.

Abstract: A marine propulsion system includes a controller configured or programmed to perform a rudder angle change control to change a rudder angle of an auxiliary propulsion device by a predetermined angle to one side in a right-left direction of a hull with respect to a forward-rearward direction of the hull so as to move the hull along the forward-rearward direction without rotating the hull when motorized forward-rearward movement is performed to move the hull along the forward-rearward direction by driving the auxiliary propulsion device that is provided to one side of the hull in the right-left direction without generating a thrust from a main propulsion device.

Abstract: An information processing method, an information processing system, an information processing device, and an information terminal of the present invention, accepts a destination for the vehicle, then searches for the travel route to the destination and sets as a first travel route, and sets a travel start time to start traveling on the first travel route. Then, vehicle information is acquired for the vehicle in advance of the travel start time by a prescribed time after the setting of the first travel route; and a travel route to the destination is searched again and a second travel route is set based on the vehicle information.

Abstract: Disclosed are systems and methods for dynamically routing pickers and autonomous vehicles to avoid areas closed to travel by the autonomous vehicles within a warehouse. A processor in communication with an autonomous vehicle and an electronic device operated by a user (e.g., handheld device) may, in response to detecting that the electronic device diverges from a path of the autonomous vehicle, provide, for display on the electronic device, information about the product. The processor may then determine a rendezvous location for the autonomous vehicle based on a location of the product. The processor may then instruct the autonomous vehicle to navigate to the rendezvous location and transmit the rendezvous location to the electronic device.

Abstract: The present technology relates to a signal processing device, a signal processing method, a program, and a mobile device enabling to obtain an occupancy grid map in which an appropriate path can be set. The signal processing device includes: a map creation unit configured to create an occupancy grid map indicating a presence or absence of an object in a unit of a grid on the basis of first sensor data from a first sensor used to detect the object in surroundings of a mobile device; an attribute setting unit configured to set an attribute of the grid of the occupancy grid map on the basis of an attribute of the object; and a correction unit configured to correct the occupancy grid map on the basis of an attribute of the grid. The present technology can be applied to, for example, a system that controls automatic driving.

Abstract: An approach is provided for aggregating an incident route based on high-resolution sampling. The approach involves receiving location data points representing a path traveled. The approach also involves generating an initial link set comprising a first predetermined number of traveled link options based on an initial location data point. The approach further involves determining a second predetermined number of probable matching road links of the geographic database for a next location data point. The approach further involves computing probabilities for respective pairs of the traveled link options and the probable matching road links. Each probability indicates a pair of a likelihood that a traveled route option and a probable matching road link are connected. The approach further involves aggregating the respective pairs to reduce a number of the respective pairs into the first or another predetermined number of traveled link options of a new link set based on the probabilities.

Abstract: A method for stabilizing drones performing a mid-air package transfer. One or more processors detecting the proximity of a second drone to a first drone. Interference of air pressure between rotors of the first drone and rotors of the second drone is detected by data from sensors included on the first and second drone. Positions of the rotors of the first drone are adjusted by moving rotor arms in a first direction and the rotors of the second drone are adjusted by moving rotor arms of the second drone in a second direction that increases separation between the rotors of the first drone and the second drone, and the amount of separation is based on reduced interference of air pressure between rotors of the first and second drone. Responsive to determining completion of a package transfer, the positions of the rotors are adjusted to original positions.

Abstract: A method for controlling an approach of a driving vehicle to at least one preceding reference vehicle using an automated distance setting as a function of a setpoint distance between the vehicle and the reference vehicle. The setpoint distance is calculated as a function of an operating position of an operating element of the vehicle, which is actuatable by the driver of the vehicle and controls a drive of the vehicle. The setpoint distance being reduced directly or indirectly by actuating an actuating element of the vehicle, which has an actuating position, is actuatable by the driver of the vehicle, and controls a braking deceleration of the vehicle. A distance control system, a computer program, and a memory unit, as also described.

Abstract: An autonomous mobile robot checking system comprises a transmission line, an unmanned aerial vehicle and an autonomous mobile device. The unmanned aerial vehicle is used for sensing stacked goods to generate sensing information. The autonomous mobile device is used for receiving the sensing information through the transmission line, and supplying power to the unmanned aerial vehicle through the transmission line to enable the unmanned aerial vehicle to sense the stacked goods. The autonomous mobile device provides a checking result for the stacked goods based on the sensing information.

Abstract: A remote operation terminal of a crane provided with a GNSS receiver for calculating the current position of the tip of a boom: acquires attitude information of the crane and the current position of the tip of the boom from a control device of the crane; generates a three-dimensional image of the crane at the current time and planimetric features on the basis of the information acquired from the control device and three-dimensional information acquired by a three-dimensional information acquisition unit; displays, on a display device, the generated three-dimensional image at the position of and in the direction of a viewpoint input to a viewpoint changing operation tool; and generates a control signal for the crane so that the tip of the boom of the three-dimensional image moves in a moving direction input to a suspended load moving operation tool in the three-dimensional image of the crane displayed on the display device.

Abstract: A method of performing autonomous driving based on platooning by a moving object includes setting a moving path, determining whether platooning is allowed, transmitting moving path information to a first intelligent transportation system infrastructure when the moving object of a plurality of moving objects approaches a preset range of the first intelligent transportation system infrastructure, receiving platooning information from the first intelligent transportation system infrastructure, and performing platooning based on the platooning information, wherein the first intelligent transportation system infrastructure groups ones of the moving objects capable of platooning from among the plurality of moving objects based on the moving path information received from each of the plurality of moving objects.

Abstract: Transportation systems have artificial intelligence including neural networks for recognition and classification of objects and behavior including natural language processing and computer vision systems. The transportation systems involve sets of complex chemical processes, mechanical systems, and interactions with behaviors of operators. System-level interactions and behaviors are classified, predicted and optimized using neural networks and other artificial intelligence systems through selective deployment, as well as hybrids and combinations of the artificial intelligence systems, neural networks, expert systems, cognitive systems, genetic algorithms and deep learning.

Abstract: A system for managing operation of a plurality of vehicles includes a user interface including a display. A control unit is in communication with the user interface and the plurality of vehicles. The control unit is configured to receive data from the plurality of vehicles and generate a task plan including tasks to be performed by an operator of the plurality of vehicles. The control unit is further configured to show the task plan on the display.