Abstract: The present invention relates to systems and methods that allocate, arrange, and distribute certain types of functions and intelligence, for connected automated vehicle highway (CAVH) systems, to facilitate vehicle operations and controls, to improve the general safety of the whole transportation system, and to ensure the efficiency, intelligence, reliability, and resilience of CAVH systems. The present invention also provides methods to define CAVH system intelligence and its levels, which are based on two dimensions: the vehicle intelligence and infrastructure intelligence.

Abstract: According to a moving body, position and direction of a user are calculated from distance measurement data, and on the basis thereof, the position and direction of the moving body are calculated. If the moving body is located in the first or fourth quadrant of the user coordinate system, a right-side moving target is set as the moving target. If the moving body is in the second or the third quadrant of the user coordinate system, a left-side moving target is set as the moving target. Accordingly, the moving target is set on the basis of the position of the moving body with respect to the user, so the moving body is prevented from cutting across in front of the user while its travelling.

Abstract: A method for determining a route of a robot is provided such that a moving apparatus can move smoothly to a destination point while avoiding interference with a plurality of moving objects such as traffic participants. In an environment in which a plurality of second pedestrians moves along predetermined movement patterns, a plurality of movement routes when a first pedestrian moves toward a destination point is recognized. Data, in which a compound environmental image constituted of time series of environmental images indicating a visual environment around a virtual robot when the virtual robot moves along each of the plurality of movement routes and a moving direction command indicating a moving direction of the virtual robot are combined, is generated as learning data. Model parameters of a CNN (action model) is learned using the learning data, and a moving velocity command for a robot is determined using a learned CNN.

Abstract: A method and device for extracting key frames in simultaneous localization and mapping and a smart device. The method includes acquiring an image frame from an image library storing a plurality of image frames of an unknown environment, and performing feature extraction on the image frame to obtain information of feature points, wherein the information includes a quantity of feature points; acquiring relative motion information of the image frame relative to the previous key frame, and calculating an adaptive threshold currently used by using the relative motion information; and selecting a key frame according to the information of feature points and the adaptive threshold indicating space information of image frames.

Abstract: Computer program products, methods, systems, apparatus, and computing entities are provided for creating, modifying, and viewing geographic areas and their corresponding routes and items of work. For example, an interface can be provided with a map display area and a route display area. The map display area and the route display area can be synchronized to create new routes, modify existing routes, and/or view information about various routes and/or items of work.

Abstract: An image processing device includes an edge detector to detect a portion in which a luminance difference between neighboring pixels changes in a direction that increases equal to or more than a first predetermined value as a positive edge and a portion in which the luminance difference between neighboring pixels changes in a direction that decreases equal to or more than a second predetermined value as a negative edge, a grouping portion configured to group the positive edges that have been detected into a positive edge group and the negative edges that have been detected into a negative edge group, and a boundary line setting portion configured to set, as a boundary line: (i) a line connecting end points between the positive edges in the positive edge group; or (ii) a line connecting end points between the negative edges in the negative edge group.

Abstract: A method for creating a feature-based localization map for a vehicle, including the steps: ascertaining data of at least one object in the surroundings of the vehicle; identifying characteristic structures of the at least one object; combining the characteristic structures to form a simplification structure of the object; and incorporating the simplification structure into the feature-based localization map.

Abstract: Disclosed herein is a system and a method of guiding a plurality of agents 106 for complete coverage of the inspection area 102. The system and the method provide navigational instructions to navigate the plurality of agents 106 across the plurality of signalling unit 104 for traversing the inspection area 102. The plurality of signalling units 104 are communicatively coupled with the multi-agent visual navigation system for transmitting navigational instructions to the plurality of agents 106 based on pass-by information associated with the plurality of agents 106 obtained at the plurality of signalling units 104 and the pre-determined proximity associated with each pair of the plurality of signalling units. The navigational instructions are provided to the plurality of agents 106 at the plurality of signalling units 106 for subsequent navigation of the plurality of agents 106 across the plurality of signalling units 104 for complete coverage of the inspection area 102.

Abstract: An approach is provided for comparing and assimilating road lane representations. The approach, for example, receiving two cartographic feature representations (e.g., digital road lane representations). The approach also involves computing a geometric similarity between the cartographic representations. The approach further involves processing attribute data associated with the cartographic feature representations to determine a semantic relationship between the representations. The approach further involves generating a recommendation with respect to assimilating the representations based on the geometric similarity and the semantic relationship, and providing the recommendation as an output.

Abstract: The present disclosure provides methods and system for controlling the operation of a fly-by-wire aircraft. One or more yaw commands are received from an operator control, and one or more actual induced rolls rates are determined based on the yaw commands. A yaw signal and a roll-countering command are sent to flight control components of the aircraft, the yaw signal to cause a yaw motion in the aircraft, and the roll-countering command to counter the actual induced rolls. A standardized roll rate command is determined based on the yaw command, and the standardized roll rate command is sent to the flight control components to cause a roll motion in the aircraft.

Abstract: An apparatus onboard a vehicle and in communication with sensors onboard the vehicle is configured to receive a maplet request identifying a request region; determine that the apparatus has entered the request region; process and fuse sensor data captured by two or more sensors of the sensors to generate a multi-sensor data stream comprising a plurality of observations corresponding to a portion of a road network; generate a maplet based on the multi-sensor data stream and the maplet request, wherein generating the maplet comprises using a predetermined data model to encode road data, from the multi-sensor data stream, corresponding to at least one environment element of the road network; and provide the maplet such that a network apparatus receives the maplet. The network apparatus is configured to (a) validate or (b) update map data of a digital map representing the road network based at least in part on the maplet.

Abstract: A vehicle control device mounted to a vehicle and configured to control a traveling state of the vehicle is provided. The vehicle control device sets control contents for functions for automated driving of the vehicle, respectively, and to control the vehicle according to the control contents. The functions are each associated with one or more items of vehicle vicinity information in advance. The vehicle control device determines, for each of the functions, whether it is possible to recognize the associated one or more items of the vehicle vicinity information. The vehicle control device maintains the automated driving that uses a function associated with one or more items of the vehicle vicinity information recognized by the recognition determination unit, and switches over, into manual driving, the automated driving that uses a function associated with one or more items of the vehicle vicinity information not recognized by the recognition determination unit.

Abstract: A parking assistance apparatus includes at least one camera sensor installed in a vehicle, a control unit configured to analyze an image obtained through the camera sensor to recognize a space and object in a parking lot by matching a detailed parking lot map to an object, search for an available parking space by calculating a parking region on the basis of recognized space and object information, and generate a path to the available parking space searched for, or perform autonomous parking until reaching the available parking space, and a storage unit configured to store the detailed parking lot map for recognizing the space and object.

Abstract: A signpost-based navigation method, a computer readable storage medium, and an electronic device that implements the method. The method comprises: capturing a visible light signal emitted by a road sign, the visible light signal comprising multiple pieces of different signpost information; selecting, according to indication information corresponding to a current position of a vehicle on a navigation path, at least one piece of signpost information from the multiple pieces of different signpost information as signpost information of a current signpost; and controlling a shutter of shutter glasses so as to display the current signpost through the shutter glasses.

Abstract: Controlling autonomous vehicles requires accurate information about how entities behave in an environment with respect to one another. In an example, a data structure is used to associate entities in an environment of the vehicle with the vehicle and/or with each other. For example, associations between entities can be based on locations of the entities relative to each other and/or relative to segments of a drivable surface. Information about associations between the vehicle and/or entities in the environment may be used to identify entities that may influence travel of the vehicle and/or other entities and, in some implementations, vehicle controls can be generated based on these relevant entities.

Abstract: The present invention relates to the field of navigation. Disclosed is a route planning method for a mobile vehicle, comprising: partitioning an operation area of a mobile vehicle into blocks using a grid cell as a minimum unit to obtain operation blocks, and performing a reciprocating operation in each operation block in a traversing manner; after the mobile vehicle completes the operation in one operation block, moving to another operation block to perform the reciprocating operation therein in the same traversing manner. The present invention can cause a mobile vehicle to obtain a plurality of operation blocks on the basis of an electronic grid map of known information by means of a block partitioning algorithm, and plan an operation route in each operation block by means of a reciprocating and traversing route planning algorithm in each operation block.

Abstract: The present disclosure relates to a method of selecting representative measurements from among measurements related to an environment around a movable object and determining whether the representative measurements are associated with landmarks to realize SLAM and an electronic apparatus for the same. One or more of an electronic apparatus, a vehicle, and an autonomous vehicle of the present disclosure may be connected to, for example, an artificial intelligence module, an unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, or a 5G service device.

Abstract: Described herein is a method and system for assisting a driver of a vehicle (1) to drive with precaution. Vehicle environment monitoring sensors (3a, 3b) determines other road users and particular features associated with a traffic situation of the vehicle (1) and hypotheses are applied related to hypothetical threats that may arise based thereupon. A driver level of attention, required to handle the hypothetical threats, and a time until that level will be required is estimated. A current driver level of attention is derived, from driver-monitoring sensors (4). If determined that the estimated required driver level of attention exceeds the current and the time until the estimated driver level of attention will be required is less than a threshold-time (tthres), there is produced at least one of visual (5), acoustic (6) and haptic (7) information to a vehicle driver environment, and/or triggered at least one of automated braking (8) and steering (9) of the vehicle (1).

Abstract: The invention relates to a method for improved data fusion during environment detection in a motor vehicle (50), comprising the following steps: detecting (101) an environment (40) of the motor vehicle (50) using at least one sensor (2); recognising (102) objects (81) in measurement data (20) detected by the at least one sensor (2); fusioning (115) of the recognised objects (81) and the object positions thereof in an environment map (80), wherein a probability of existence is/will be assigned to objects (81) recorded in the environment map (80), and wherein the probability of existence of a recorded object (81) is reduced, when a free region (86, 86.1) is measured during the detection of the position of the recorded object, wherein a respective orientation attribute (60) is assigned to the objects (81) recorded in the environment map (80) and recorded in the environment map (80), and for a region in the sensor region (83.1, 83.2, 83.3) of the at least one sensor (2), in which a free region (86, 86.

Abstract: A control device includes a getting-into/out facility selection unit configured to select one or more getting-into/out facilities where a vehicle to be parked in a parking lot will stop from among a plurality of getting-into/out facilities on the basis of at least information indicating a driving assistance level at which driving assistance can be executed by the vehicle and information associated with the parking lot having the plurality of getting-into/out facilities and a guidance unit configured to guide the vehicle to the selected getting-into/out facility.