Abstract: A display control device includes a display that is configured to display information, a detector that is configured to detect a partition line for partitioning a lane on a road on which a vehicle is present, and a display controller that is configured to cause the display to display the partition line detected by the detector variably, and the display controller is configured to change a length of the partition line which is displayed by the display on the basis of a detection distance of the detector.

Abstract: A machine is disclosed. The machine may include at least one of a propulsion system or a steering system configured to operate under automatic control in an autonomous mode of the machine; and a controller configured to obtain one or more parameters associated with a task that is to be performed in the autonomous mode, determine an estimated completion time for the task based on the one or more parameters associated with the task, and perform one or more actions based on the estimated completion time for the task.

Abstract: Disclosed is an elevator inspection system, the system having: a robotic platform configured to inspect a hoistway; a platform propulsor operationally connected to the robotic platform; and a controller operationally connected to the platform propulsor, wherein the controller is configured to control the platform propulsor to propel the robotic platform vertically within the hoistway.

Abstract: An autonomous driving system includes: at least one sensor (1) configured to collect environment information around a vehicle; a primary decision unit (21) configured to calculate decision information based on the environment information collected by the at least one sensor (1), and transmit the decision information to a controller (3); an alternative decision unit (22) configured to calculate decision information based on the environment information collected by the at least one sensor (1) in response to detecting that the primary decision unit (21) is abnormal, and transmit the decision information to the controller (3); and the controller (3) configured to calculate vehicle control information based on the received decision information, and transmit the vehicle control information to a bottom vehicle controller. In this way, the stability and reliability of the autonomous driving system can be improved and safety of autonomous driving of the vehicle can be guaranteed.

Abstract: An apparatus includes a processor configured to be disposed with a vehicle and a memory coupled to the processor. The memory stores instructions to cause the processor to receive, at least two of: radar data, camera data, lidar data, or sonar data. The sensor data is associated with a predefined region of a vicinity of the vehicle while the vehicle is traveling during a first time period. At least a portion of the vehicle is positioned within the predefined region during the first time period. The method also includes detecting that no other vehicle is present within the predefined region. An environment of the vehicle during the first time period is classified as one state from a set of states that includes at least one of dry, light rain, heavy rain, light snow, or heavy snow, based on at least two of the sensor data to produce an environment classification. An operational parameter of the vehicle based on the environment classification is modified.

Abstract: A method for optical distance measurement involves transmitting measuring pulses by means of a transmission matrix having a plurality of transmission elements, reflecting transmitted measuring pulses to at least one object, and receiving reflected measuring pulses by a reception matrix. The reception matrix includes a plurality of reception elements each having a plurality of reception sub-elements. The method involves monitoring reception rates of reception sub-elements of the reception matrix for determining a misalignment between the transmission matrix and reception matrix, wherein the transmission matrix and reception matrix define a visual field, and wherein the method is used for the navigation of a vehicle. Monitoring takes place while a vehicle is traveling, wherein the method does not involve the conscious introduction of measuring objects into the visual field for determining a misalignment.

Abstract: A first method includes identifying an occlusion in the vehicle transportation network; identifying, for a first world object that is on a first side of the occlusion, a visibility grid on a second side of the occlusion; and altering a driving behavior of the first vehicle based on the visibility grid. The visibility grid is used in determining whether other world objects exist on the second side of the occlusion. A second includes identifying a first trajectory of a first world object in the vehicle transportation network; identifying a visibility grid of the first world object; identifying, using the visibility grid, a second world object that is invisible to the first world object; and, in response to determining that the first world object is predicted to collide with the second world object, alerting at least one of the first world object or the second world object.

Abstract: A method for activating a cleaning mode of a touch-operable button of a motor vehicle involves switching the button to at least partially inactive in the cleaning mode to avoid an unintentional actuation. A camera monitors the button and detection of an actuation activating the cleaning mode is carried out by recognizing a cleaning implement guided by a hand of a user on the button.

Abstract: A method of operation of a navigation system comprising: determining a geographic limitation with a control unit based on the geographic limitation associated with a traveler information included in a traveler restriction information; generating a provisional route based on a path between a start point and a destination point; determining a provisional POI based on a POI of the provisional route; determining a POI restriction based on the POI restriction associated with the provisional POI included in a rule information; determining a navigation restriction based on matching the geographic limitation and the POI restriction for presenting on a device.

Abstract: A method and a system for detecting and positioning an intruder within a specified volume are provided herein. The method may include the following steps: periodically scanning using a laser detection and ranging (LADAR) device directing a laser beam, within the specified volume; collecting reflections of the laser beam arriving from objects within the volume; converting the reflections to LADAR signal indicative of spatiotemporal presence of objects within the volume; applying signal processing algorithms to the LADAR signals, to determine a presence of an intruder and respective orientation parameters, based on predefined criteria; directing a camera based on the orientation parameters associated with the intruder for continuously capturing images of the intruder; and analyzing the images by a computer processor and instructing the camera to track the intruder based on the analysis, to yield real-time tracking parameters of the intruder.

Abstract: An apparatus includes a processor configured to be disposed with a vehicle and a memory coupled to the processor. The memory stores instructions to cause the processor to receive, at least two of: radar data, camera data, lidar data, or sonar data. The sensor data is associated with a predefined region of a vicinity of the vehicle while the vehicle is traveling during a first time period. At least a portion of the vehicle is positioned within the predefined region during the first time period. The method also includes detecting that no other vehicle is present within the predefined region. An environment of the vehicle during the first time period is classified as one state from a set of states that includes at least one of dry, light rain, heavy rain, light snow, or heavy snow, based on at least two of the sensor data to produce an environment classification. An operational parameter of the vehicle based on the environment classification is modified.

Abstract: A system for deterministic trajectory selection based on uncertainty estimation includes a set of one or more computing systems. A method for deterministic trajectory selection includes receiving a set of inputs; determining a set of outputs; determining uncertainty parameters associated with any or all of the set of inputs and/or any or all of the set of outputs; and evaluating the uncertainty parameters and optionally triggering a process and/or action in response.

Abstract: A work vehicle includes: a chassis; a first axle carried by the chassis; a pair of first wheels rotatably coupled to the first axle; a first weight sensor associated with the first axle and configured to output a first weight signal; a second axle carried by the chassis; a pair of second wheels rotatably coupled to the second axle; a second weight sensor associated with the second axle and configured to output a second weight signal; and a controller operatively coupled to the first and second weight sensors. The controller is configured to: receive the first and second weight signals; determine a weight distribution of the work vehicle based on the received first and second weight signals; analyze the determined weight distribution to determine at least one recommended operating parameter; and output a recommendation signal based on the at least one recommended operating parameter.

Abstract: Systems and methods for determining object location may include a memory and a processor. The processor may be configured to collect seismic data and geophysical data to determine object location. The processor may be configured to determine one or more seismic attributes associated with a plurality types of noises based on the seismic data and the geophysical data using one or more machine learning algorithms. The processor may be configured to eliminate unwanted noises from noise classifications based on the one or more seismic attributes. The processor may be configured to predict the object location by comparing time and velocity data of the object with recorded timing and velocity data. The processor may be configured to validate the object location by comparing the determined noise with image data. The systems and methods may be used in, for example, detecting missing planes such as Malaysian Airlines Flight 370.

Abstract: A vehicle can include various sensors to detect objects in an environment. In some cases, the object may be within a planned path of travel of the vehicle. In these cases, leaving the planned path may be dangerous to the passengers so the vehicle may, based on dimensions of the object, dimensions of the vehicle, and semantic information of the object, determine operational parameters associate with passing the object while maintaining a position within the planned path, if possible.

Abstract: A system including a processor and memory may provide for automatically activating or deactivating a feature of a fleet vehicle. For example, one or more fleet vehicles may include one or more of a global-positioning system, a speed governor, electronically-controlled brakes, an electronically-controlled accelerator, a speed limiter, or an on-board computer with a processor and memory. One or more features may be activated by a local or remote computing device or system. For example, a system may determine one or more recommended routes between two or more locations. The system may track a fleet vehicle's progress along a route, and activate a feature of the fleet vehicle based on the fleet vehicle following or not following the recommended route. For example, the system may cause activation of a speed limiter on the fleet vehicle, disable the fleet vehicle, and/or activate or deactivate autonomous features of the fleet vehicle.

Abstract: The electronic apparatus includes a sensing unit including at least one sensor, a memory storing one or more instructions, and a processor configured to execute the one or more instructions stored in the memory to identify an object located near the vehicle, by using the at least one sensor, generate risk information of the object, the risk information including a type of the identified object, adjust a size of a bounding box generated to include at least a part of the identified object, based on the risk information of the object, and control a driving operation of the vehicle, based on the adjusted bounding box.

Abstract: An information processing apparatus for providing aid to people in need of assistance outdoors. The information processing apparatus includes a controller. When a request for a search for a route is received, the controller generates, using a link and a node at which travel by a wheelchair is possible, a section to be included in the route between two locations and that is to be traveled by the wheelchair.

Abstract: A method for controlling movement of a drone is disclosed. A spatial vector between a flight-capable drone and a reference object is computed. The spatial vector defines a direction and a distance by which the drone is spaced from the reference object. Flightpath attributes based on the computed vector are determined. The flightpath attributes include one or more of a flight direction, a flight distance, and a flight speed. The flight direction is variable as a function of the direction of the spatial vector. The flight distance is variable as a function of the distance of the spatial vector. The flight speed is variable as a function of the distance of the spatial vector. In an automated operation, movement of the drone is controlled according to the determined flightpath attributes.

Abstract: A driving assistance apparatus is configured to perform an assistance control of assisting in driving a vehicle, when a first condition and a second condition are satisfied, in a situation in which a target is recognized. The driving assistance apparatus is provided with: a determinator configured to determine a state of the assistance control. The determinator is configured (i) to determine that the state of the assistance control is a standby state if a standby condition is satisfied, wherein the standby condition requires that the first condition is satisfied, but the second condition is not satisfied, in the situation in which the target is recognized, and (ii) to determine that the state of the assistance control is an interruption state if an interruption condition is satisfied, wherein the interruption condition requires that the first condition is no longer satisfied while the satisfaction of the standby condition is continued.