Abstract: One example method includes identifying features for operational actions that are to be performed at an edge node of an edge computing system. The features include information used by the edge node to execute the operational actions. A first set of the features is received during an input processing stage. The first set of the features are used in the execution of the operational actions. In response to the execution of the operational actions, a second set of the one or more features are obtained, In response to retrieving the first set of the features or in response to obtaining the second set of the features, a local map is updated to include the features. The local map includes a subset of a global map, where the local map and the global map represent a shared representation of a map structure.

Abstract: Localization systems, including road surface-based localization systems, are disclosed that may work in conjunction with less precise systems, such as GPS, to accurately locate a vehicle on a road segment. Methods and apparatus are disclosed for the identification and selection of landmarks, including road surface-based landmarks.

Abstract: Provided are a road network extraction method, a device, and a storage medium, which relate to the technical field of artificial intelligence and, in particular, to the fields of image processing, computer vision, and the like and are specifically applicable to scenarios such as intelligent transportation and a smart city. A specific implementation scheme includes: extracting a first road network of a target region according to user trajectories of the target region; extracting a second road network of the target region according to a satellite aerial image of the target region; and extract a target road network of the target region according to the first road network, the second road network, and the user trajectories. Efficient and accurate road network extraction can be achieved through techniques in embodiments of the present disclosure.

Abstract: A system and a method include a control unit configured to monitor one or more values of one or more aircraft at one or more airports, and compare the one or more values with one or more attributes of one or more airport maps associated with the one or more airports to determine accuracy of the one or more airport maps.

Abstract: Various embodiments include a backend for an object updating system for removing objects present in a digital road map comprising: a memory storing a set of instructions; and a processor in communication with the memory. The digital road map is stored in the memory. The set of instructions, when loaded and executed by the processor, cause the processor to: receive a path and environmental data captured along this path from a vehicle; recognize objects in the environmental data; and remove an object from the digital road map if the object is not recognized in the environmental data.

Abstract: A confidence score (or other measure) that is related to the reliability of map data (MAP) messages is received at a vehicle. Vehicle-to-everything (V2X) messages are received from other vehicles and compared to the MAP-compliant messages. For example, behavior and position of the other vehicles in view of the content of the MAP messages is evaluated for consistency and a numeric score or measure assigned to V2X messages associated with the other vehicles. The score is compared to a threshold and based upon the comparison, a determination can be made as to whether to use the V2X-compliant messages from the other vehicles to perform an action at the vehicle (e.g., control a component of the vehicle).

Abstract: A rail area extraction method based on laser point cloud data is provided, including: preprocessing collected laser point cloud data; screening and clustering the laser point cloud data based on a fixed distance segmentation method, and representing laser point cloud data of reference objects by a main laser point cloud data cluster; projecting laser point cloud data of reference objects to a horizontal plane, fitting reference curves based on an improved differential evolution algorithm with a train left side reference curve as an upper boundary and a train right side reference curve as a lower boundary; selecting a target boundary line from upper and lower boundaries based on a laser point cloud data amount-density two-step decision method; calculating a rail area center line based on the target boundary line; and selecting a rail area boundary line extension method or rail area center line extension method to calculate the rail area.

Abstract: A computing device is provided comprising a processor and a memory storing instructions executable by the processor. The instructions are executable by the processor to monitor location information for a plurality of aircraft in a geographic region. Geospatial data is received for the geographic region. The geospatial data comprises, for each of one or more physical objects in the geographic region, a virtual representation of the physical object. The instructions are further executable to determine that the location information meets a threshold difference compared to expected location information for a selected virtual representation of a physical object. An indication of an anomaly is output based at least on the determination that the location information meets the threshold difference.

Abstract: In some examples, a system may determine a plurality of candidate routes between a source location and a destination location for a vehicle, and may segment each candidate route into multiple road segments. Further, the system may receive vehicle computing resource information and sensor configuration information for the vehicle. The system may determine that at least one of the sensor configuration or the computing resources on board the vehicle fails to satisfy a threshold associated with autonomous navigation of a road segment of a first candidate route of the plurality of candidate routes. The system may select, for the vehicle, the first candidate route based at least on determining that a computing device external to the vehicle is scheduled to perform at least one computational task for the vehicle to enable the vehicle to meet the threshold associated with autonomously navigating the road segment of the first candidate route.

Abstract: An advanced map matching algorithm is disclosed, which embeds the road topology inherently in a set of path candidates. Road connectivity is maintained even in special situations such as U-turns, reverse driving, and tunnels. Careful path candidate management is designed to reduce the candidate count while preserving well-matching candidates. Paths are treated and evaluated independently using multiple criteria, which makes the algorithm reliable and robust in different scenarios.

Abstract: A data correction device includes a data acquiring part for acquiring map data including point sequence data showing a position of a first dividing line in a first section and point sequence data showing a position of a second dividing line corresponding to the first dividing line in a second section adjoining the first section; a position revising part for revising point data showing a position near a boundary of at least one of the first dividing line and the second dividing line so that the first dividing line and the second dividing line expressed by the point sequence data are smoothly connected at the boundary; and a position data output part for outputting point sequence data including point data showing revised positions of the dividing lines near the boundary.

Abstract: A vehicle controller detects a travel lane on which a vehicle is traveling, and determines whether the position of the detected travel lane relative to an edge of a road may differ from an actual position. The vehicle controller further identifies first control of the vehicle required on the travel lane and second control of the vehicle required on an adjoining lane. The vehicle controller transfers control of the vehicle to a driver in the case where the position of the detected travel lane may differ from the actual position and where both the first control and the second control may compromise safety of the vehicle or prevent completion of a predetermined action to be completed before reaching a predetermined distance.

Abstract: A system for routing a vehicle based on roadway characteristics includes a global navigation satellite system (GNSS) for determining a geographical location of the vehicle, a vehicle communication system for communicating with at least one external system, and a vehicle controller in electrical communication with the GNSS and the vehicle communication system. The vehicle controller is programmed to determine a vehicle length and a vehicle width, receive a navigation request from an occupant of the vehicle, and determine a navigation route using at least the GNSS and the vehicle communication system in response to receiving the navigation request, where the navigation route is based at least in part on the vehicle length and the vehicle width.

Abstract: A high-precision map construction method, apparatus, and electronic device are provided. The method can include: displaying a first color image corresponding to a first track point; according to a first color sub-image and a depth image corresponding to the first track point, obtaining point cloud data corresponding to the first sub-color image, wherein the first sub-color image is a sub-image corresponding to an element to be added in the first color image, and the element to be added is an element to be added in a high-precision map for display; extracting a bounding box corresponding to the point cloud data; and generating a newly-added three-dimensional element according to the bounding box in the high-precision map.

Abstract: A control device includes: a control unit that performs control to make a pedestrian crossing appear in an area from a first side to a second side of a road when a pedestrian crosses the road, and that detects at least one vehicle passing through the road; and a communication unit that transmits instruction data instructing the at least one vehicle detected by the control unit to avoid a position that hinders crossing of the pedestrian.

Abstract: Generation of an autonomy map for assisting an autonomous vehicle includes extracting the historical autonomy information associated one or more route segments of one or more routes. An autonomy level for each route segment is determined based on the extracted historical autonomy information. A digital autonomy map is generated including each route segment of at least one route such that each route segment is tagged with the determined autonomy level. The autonomy level of each route segment is dynamically updated in real-time for providing real-time driving assistance to the autonomous vehicle.

Abstract: In an act-of-looking-aside determination device, when a route change detector detects a route change of an own vehicle, an act-of-looking-aside determiner refrains from determining that a driver is in an act-of-looking-aside state even when a line-of-sight direction of the driver deviates from a determination reference range after the line-of-sight direction of the driver detected by a line-of-sight direction detector is detected as a line-of-sight direction toward at least one of a rearview mirror R and a side mirror determined based on a relative position between the own vehicle and another vehicle, the rearview mirror and the side mirror being provided in the own vehicle. Thus, even when the line of sight of the driver is turned to the rearview mirror or the side mirror during a route change of the own vehicle, an erroneous determination on an act-of-looking-aside state can be prevented.

Abstract: Aspects and implementations of the present disclosure relate to performance and safety improvements for autonomous trucking systems, such as reactive suspensions for maximizing aerodynamic performance and minimizing mechanical impact from road imperfections, automated placement of emergency signaling devices, and techniques of enhanced illumination of stopped and stranded vehicles.

Abstract: Provided is a method, performed by a first vehicle, of providing detailed map data, the method including collecting first traveling data about a first path using at least one first sensor while the first vehicle is traveling the first path; obtaining first detailed map data corresponding to the first path based on the first traveling data about the first path; and providing the first detailed map data to at least one external device.

Abstract: The data representing the floor plan is processed to classify the different elements in the floor plan. This step may be carried out by processing, using at least one image classification model, different images representing different layers of the floor plan data to identify the type of elements belonging to each layer. A group of elements belonging to a subset of the classifications are then selected and used to segment the floor plan into different spaces. For example, certain boundary elements (e.g. the walls and doors) between different spaces (i.e. rooms) in the floor plan may be identified and selected. Once identified, the boundary elements may be used to segment the floor plan into different spaces, which can then be analysed to determine the characteristics of those spaces, in particular the classification of the space into a type (e.g. an intended use for the space or a type of space, such as an, office, meeting room, kitchen, etc).

Abstract: An illustrative example embodiment of a location determining device includes a processor that is configured to determine an indicated distance between a first detector and a source based on a signal originating at the source and detected by the detector, determine a second distance between the source and a second detector that does not have a direct signal path to the source based on a signal originating at the source and detected by the second detector, and determine a reliability of the indicated distance for determining the location by determining whether the indicated distance corresponds to a direct signal path between the first detector and the source based on a difference between the indicated distance and the second distance.

Abstract: A method of controlling flight of an unmanned aerial vehicle (UAV) includes collecting, while the UAV traverses a flight path, a set of images corresponding to different fields of view of an environment around the UAV using multiple image capture devices, extracting one or more image features from the set of images, constructing a map of the environment using one or more selected image features from the one or more image features, and generating a return path for the UAV using the map of the environment. Each of the multiple image capture devices includes one of the different fields of view.

Abstract: An illustrative example embodiment of a location determining device includes a processor that is configured to determine an indicated distance between a first detector and a source based on a signal originating at the source and detected by the detector, determine a second distance between the source and a second detector that does not have a direct signal path to the source based on a signal originating at the source and detected by the second detector, and determine a reliability of the indicated distance for determining the location by determining whether the indicated distance corresponds to a direct signal path between the first detector and the source based on a difference between the indicated distance and the second distance.

Abstract: The present application discloses a method and an apparatus for processing map data, which relate to autonomous driving technologies in the field of data processing. The specific implementation is that: a controlling unit inputs initial positioning data collected by a data collecting unit to a data fusing unit to obtain fused positioning data, where the initial positioning data and the fused positioning data are data in a first coordinate system; the controlling unit obtains target positioning data according to the fused positioning data, where the target positioning data is data in a second coordinate system, and the second coordinate system is a coordinate system obtained by offsetting the first coordinate system; and the controlling unit performs a positioning operation on the target positioning data through at least one positioning unit, to determine a position of a vehicle corresponding to an autonomous driving system.

Abstract: A system of highly detailed mapping data for correcting the data format and detail level of the map data adaptively to a specification of a distribution destination. The system includes a data supplementing unit for supplementing medium-/low-detail map data to make the map data highly detailed, an authoring unit for editing the map data adapted to the multiple specifications which differ at least in one of the data format and the detail level, and a database for accumulating the edited map data to allow distribution of the map data as versatile data. The system includes a reliability evaluation unit communicating with the distribution destination via information, and allowing evaluation of reliability indicating a degree to which the versatile data are adapted to the specification, and a reliability registration unit for registering the reliability in the database by associating the evaluation of the reliability evaluation unit with the versatile data.

Abstract: Road information of surroundings of an own vehicle is kept as latest version as possible, and road information of distant areas are updated efficiently. A map providing device according to the present invention searches for an update target portion included in a planned travel route, and also searches for an update target portion with an end point of the planned travel route being a starting point.

Abstract: A method for: obtaining route request information characterizing a route to be provided to a terminal; determining, at least partially based on the route request information, an intermediate route comprising a plurality of link identifiers respectively identifying links in respective current versions of map regions; determining a final route by replacing, in the intermediate route, link identifiers by respective indications, wherein each indication of the indications respectively indicates whether or not a link or considered-to-be-suited link corresponding to a link, which is identified by the link identifier replaced by the indication and which is contained in a current version of a map region, is considered to be contained in a non-current-version of the map region available to the terminal, wherein the considered-to-be-suited-link is a link that is considered to be suited to be used for a route guiding process at the terminal; and outputting the final route.

Abstract: A method for specifying a cleaning area to a cleaning robot without an in-built map provides a hand-held mobile device capturing a two-dimensional code label arranged on a top of a cleaning robot parked on a charging base, and obtaining a positional relationship between the mobile device and the cleaning robot through the captured image. The cleaning robot is controlled to enter a cleaning mode under the guidance of the mobile device. With captured images, a user can specify an area within the environment for cleaning, and through a touch display screen can control the cleaning robot to go to the specified cleaning area for cleaning. The mobile device and the cleaning robot employing the method are also disclosed.

Abstract: Various methods are provided for facilitating map update to an environment map using gradient thresholding. One example method may include detecting an observed feature associated with a first feature decay and generating an interpolated feature that approximates the observed feature associated with a second decay. The method also includes determining a gradient difference between the interpolated feature and a stored map feature. The stored map feature represents an encoding of the observed feature associated with a third decay associated with an environment map. The method also includes determining a relationship between the gradient difference and a feature gradient update threshold, and, based upon the relationship, updating the environment map by at least replacing the map feature representation associated with the environment map with the approximated feature representation.

Abstract: The present disclosure provides a method, an apparatus, a computing device and a computer readable storage medium for detecting an environmental change, and relates to the field of autonomous driving. The method obtains a global map for an area and a first local map built in real time for a sub-area in the area; and determines an environmental change in the first sub-area by comparing the first local map and the global map and determining a first probability of the environmental change. Techniques of the present disclosure can automatically detect environmental changes that affect the positioning of autonomous driving, thereby facilitating the updating of positioning maps.

Abstract: A traffic signal analysis system for an autonomous vehicle (AV) can receive image data from one or more cameras, the image data including an upcoming traffic signaling system located at an intersection. The system can determine an action for the AV through the intersection and access a matching signal map specific to the upcoming traffic signaling system. Using the matching signal map, the system can generate a signal template for the upcoming traffic signaling system and determine a first subset and a second subset of the plurality of traffic signal faces that apply to the action. The system can dynamically analyze the first subset and the second subset to determine a state of the upcoming traffic signaling system for the action, and generate an output for the AV indicating the state of the upcoming traffic signaling system for the action.

Abstract: A method, apparatus and computer program product are provided to disambiguate probe points within an ambiguous probe regions to permit more reliable association with a road segment. In regards to a method, probe trajectory identifiers (IDs) of probe points along at least a portion of the first and second branches that lead away from an ambiguous probe region are separately identified and form first and second sets of probe trajectory IDs, respectively. For the ambiguous probe region, the probe trajectory IDs of probe points along a third branch that leads toward the ambiguous probe region are identified and form a third set of probe trajectory IDs. The method also includes classifying probe trajectory IDs from the third set as being associated with the first branch or the second branch in an instance in which the probe trajectory IDs are additionally included in the first set or the second set, respectively.

Abstract: The determination device acquires a first distance information measured by a measurement unit and indicating a distance from a movable body to an object, and a second distance information estimated by an estimation unit and indicating the distance from the movable body to the object. Also, the determination device acquires own position accuracy information of the movable body. Then, the determination device determines presence or absence of deviation larger than a predetermined value between a position of the object in map information and the position of the object in real environment, based on a difference value of the distances indicated by the first distance information and the second distance information and the own position accuracy information.

Abstract: Systems and methods for generating efficient planning routes for vehicles, including autonomous and semi-autonomous vehicles are presented. A route planner may generate dynamic maps and routes that reduces the uncertainty of road-agent environmental and behavioral data in an efficient manner. Route planning may be accomplished using a statistical approach in which known data from one geographic or behavioral feature set may be used and relied upon by a vehicle in another geographical and behavioral context to estimate the environmental and behavioral data relevant to the vehicles current operation.

Abstract: A history information storage apparatus includes: a storage unit that stores history information about a travel history of a vehicle and map data divided into a plurality of sections; a change detection unit that detects a change of the map data; an influence range determination unit that determines a section influenced by the change as an influenced section from among the plurality of sections; a history information control unit that temporarily invalidates the history information about the influenced section; and a navigation unit that calculates a route from a departure place to a destination in consideration of the history information and records, in the history information, a history of a travel of the vehicle which has strayed from the route.

Abstract: Disclosed are an apparatus for selecting a radar installation site for configuring a radar observation network and a method thereof. That is, according to the present invention, an optimal radar observation site is selected through a digital elevation model, GIS information, a beam shield simulation, a propagation environment survey, etc., to collect higher accurate radar data and shorten a time required for a radar installation preliminary survey, etc.

Abstract: The present disclosure relates to a driving control apparatus, a driving control method, and a program that can safety update a personalization function that has been learned to match habits and customs of each driver on the basis of a driving operation of a driver and detection results of various sensors. A personalization function for each driver is found by learning on the basis of driving operation conducted by a driver through manual driving and detection results of various sensors provided on a vehicle body. Verification simulation is carried out by using the found personalization function, and when safety thereof is confirmed, the personalization function is updated as a new personalization function. Autonomous driving reflecting habits and customs of the driver can be realized by correcting an action command found during autonomous driving on the basis of the detection results with the personalization function, thereby realizing safe and comfortable autonomous driving.

Abstract: A surrounding information obtaining unit determines whether a first vehicle has traveled on a different road than a road on which a host vehicle travels, on the basis of information indicating roads and a facility present around the host vehicle and a travel state of the first vehicle. A difference checking unit checks whether a target road determined to have been traveled by the first vehicle is included in host vehicle map information. A wireless communication unit inquires whether an unknown target road confirmed not to be included in the host vehicle map information is included in master map information in a server device. When the unknown target road is included in the master map information, the wireless communication unit receives updating map information including the unknown target road from the server device. A map updating unit updates the host vehicle map information using the updating map information.

Abstract: Example embodiments are directed to generating an optimized network of flight paths and an operations volume around each of these flight paths. A network system creates a source network of paths, whereby the source network comprises a set of possible paths between two locations. The network system assigns a cost for traversing each edge of each path of the source network and aggregates the cost for traversing each edge of each path to obtain a cost for each path of the source network. Based on the cost for each path, the network system identifies a path having the lowest cost, whereby the path having the lowest cost is the optimized route between the two locations. The network system then generates an operations volume for the optimized route. The operations volume represents airspace surrounding the optimized route. The operations volume is transmitted to a further system for use.

Abstract: Systems, methods, and devices are disclosed for synchronizing map updates for a navigating autonomous vehicle. A management service on a managing node can receive an update to a portion of a first map, where a limited visibility map, which is a subset of the first map, can be determined based on a geographical area around an autonomous vehicle navigating a route. The limited visibility map can be synchronized among all the nodes while the autonomous vehicle is using the limited visibility map by the management service delivering, to a plurality of downstream nodes, the update to the limited visibility map when the update does not modify a portion of the limited visibility map, and by bypassing, to the plurality of downstream nodes, the update to the limited visibility map when the update modifies a portion of the limited visibility map.

Abstract: Techniques for operating a navigation system are provided. An example method according to these techniques includes determining a first localization solution associated with a location of the vehicle in a navigable environment using a radar transceiver of the navigation system, determining a second localization solution associated with the location of the vehicle in the navigable environment using a LiDAR transceiver, a camera, or both of the navigation system, selecting a localization solution from the first and second localization solutions based on whether an accuracy of the first localization exceeds an accuracy of the second localization solution, and utilizing the selected vehicle localization solution for navigation of the vehicle through the navigable environment.

Abstract: An information processing apparatus includes a controller configured to control notification of a function executable with contents of plural files when the plural files are acquired. In a further modification of the invention, when a first file included in the plural files is stored in a storage unit and a second file included in the plural files is acquired, the controller may control notification of a function that is executable with contents of the first and second files.

Abstract: The present technology provides a system that can update aspects of an authoritative map portion stored on an autonomous vehicle using low-resolution data from the at least one sensor of the autonomous vehicle, and therefore avoids the need for dispatching the special purpose mapping vehicle for these updates. The captured low-resolution data can be compared with the high-resolution map portion to determine that the sensor data reflects a feature in a way that is inconsistent with how that feature is represented in the authoritative map portion. The sensor data can then be used to relabel the authoritative map portion.

Abstract: Provided are a method and a device for assisting with driving of a vehicle, the method including sensing an ambient environment of location of a vehicle by using one or more sensors mounted on or in the vehicle; obtaining sensing information about the ambient environment based on the sensing of the ambient environment; comparing map information stored in the vehicle with the obtained sensing information; determining a map reliability of the map information based on a result of the comparing; and controlling the driving of the vehicle based on the determined map reliability.

Abstract: The disclosure relate to determining a realism metric for testing software for operating a vehicle in an autonomous driving mode. For instance, a plurality of versions of a simulation may be run using log data collected by a vehicle operating in an autonomous driving mode. The plurality of versions may be run using the software to control a simulated vehicle, and each of the plurality of versions may have a set of timing requirements different from the set of timing requirements of other of the plurality of versions. Results of the plurality of versions may be compared to the log data. A realism metric defining timing requirements for one or more future simulations may be generated based on the comparison.

Abstract: An apparatus, system and method to ensure accurate and complete video representation of a property. A mobile device receives information from a trusted source of various physical attributes of a property. The mobile device then evaluates digital video captured by the mobile device to determine a particular room or area of the property is being recorded. Once all rooms and areas of the property have been recorded, as determined by the mobile device, the digital videos may be shared with others.

Abstract: A position measurement system includes: an image data acquisition unit that acquires first image data photographed by a first camera of a first stereo camera provided at a work machine and second image data photographed by a second camera of the first stereo camera; a stereo measurement unit that executes stereo measurement on the basis of the first image data, the second image data, and parameters related to the first camera and the second camera; a first adjustment unit that changes at least a part of the parameters to adjust a stereo ratio of first disparity image data subjected to stereo measurement; and a second adjustment unit that changes at least a part of the parameters to adjust a scale of first three-dimensional data obtained from the first disparity image data.

Abstract: To localize a vehicle in the given map precisely for autonomous driving, the vehicle needs to compare the sensor perceived environment with the map information accurately. To achieve this, the vehicle may use information received from multiple on-board sensors in combination of GPS and map data. Example implementations described herein are directed to maintaining accuracy of sensor measurements for autonomous vehicles even during sensor failure through a raw data fusion technique and a repopulation of data through a prediction technique based on historical information and statistical method if any of the sensors fail.

Abstract: A method of operation of a navigation system includes: receiving a navigation external data including a vendor data, a delta data, or a combination thereof; generating a normalization data with a control unit based on transforming the navigation external data according to universal format; generating an aggregation changeset data by splitting the normalization data into each instance of a dimension type; and updating a navigation local data by applying the aggregation changeset data according to a layer prioritization for presenting the navigation local data on a device.

Abstract: Provided are a method and a device for assisting with driving of a vehicle, the method including sensing an ambient environment of location of a vehicle by using one or more sensors mounted on or in the vehicle; obtaining sensing information about the ambient environment based on the sensing of the ambient environment; comparing map information stored in the vehicle with the obtained sensing information; determining a map reliability of the map information based on a result of the comparing; and controlling the driving of the vehicle based on the determined map reliability.