A navigation method includes receiving additional information satisfying a condition based on a current position of the user terminal, and indicating a position corresponding to the additional information on a navigation map.

Methods and apparatus for identifying one or more territories are provided. An example method includes receiving, from a data source, a territory file. The territory file can include data describing territory details such as a geographic territory name, territory geometry information, territory data attributes, and a territory color. Territory data is retrieved from a server, based on data in the territory file. A spatial fabric layer including polygonal regions is loaded from the territory data. A visual representation of one or more polygonal regions is displayed with a video display. User data indicating a selection of one or more polygonal regions can be received to create or update one or more selected territory polygonal regions. Changes made to a territory allocation can be displayed on a video display. The territory file can be updated with data identifying the one or more selected polygonal regions, and stored.

A system and method for associating videos with geographic locations is disclosed. The system comprises a communication module, a location module, a tagging module and a database association module. The communication module receives a video uploaded by a content provider and a set of video data describing the video. The location module determines that the video describes a geographic location included in a geographic map based at least in part on the video data. The tagging module determines one or more travelling tags for the video based at least in part on the video data. The database association module associates the video and the one or more travelling tags with the geographic location so that the video with the one or more travelling tags is included in the geographic map.

A system having a resource-availability module configured to cause the processing unit to determine whether a resource scarcity condition exists in connection with providing map data to a mobile navigation unit. The system also includes a tuning-parameter module configured to cause the processing unit to, in response to determining that the resource scarcity condition exists, determine a tuning parameter to use in preparing map data to provide to the mobile navigation unit. The system further includes an encoding module configured to cause the processing unit to encode map data based on the tuning parameter, and a map-data-delivery module configured to cause the processing unit to provide or make available the encoded map data to the mobile navigation unit.

Embodiments relate to methods for efficiently encoding sensor data captured by an autonomous vehicle and building a high definition map using the encoded sensor data. The sensor data can be LiDAR data which is expressed as multiple image representations. Image representations that include important LiDAR data undergo a lossless compression while image representations that include LiDAR data that is more error-tolerant undergo a lossy compression. Therefore, the compressed sensor data can be transmitted to an online system for building a high definition map. When building a high definition map, entities, such as road signs and road lines, are constructed such that when encoded and compressed, the high definition map consumes less storage space. The positions of entities are expressed in relation to a reference centerline in the high definition map. Therefore, each position of an entity can be expressed in fewer numerical digits in comparison to conventional methods.

In one embodiment, a method includes collecting, by a magnetic navigation device, magnetic measurements of a particular geographical region in accordance with a position and trajectory of the magnetic navigation device; accessing a global navigation satellite system (GNSS) signal status and a network connection status on the magnetic navigation device; determining an operational mode for the magnetic navigation device based on the GNSS signal status and the network connection status; determining whether to transmit the magnetic measurements to a server or store the magnetic measurements locally on the magnetic navigation device based on the operational mode; and performing navigation or localization operations using the operational mode.

A method for detecting changes in road information includes converting a captured road image and a projected road-layout map into first intermediate data and second intermediate data of a same feature space, respectively, and calculating the similarity between the captured road image and the projected road-layout map based on the first intermediate data and the second intermediate data Thereafter, the presence or the absence of changes in road information on the projected road-layout map is detected based on the calculated similarity.

The present disclosure provides methods and apparatuses of a highly sensitive and reliable IoT location tracking device in a form factor of a vehicle taillight. The tracking device replaces the existing taillight and comprises custom-designed GPS and Cellular antennae that are specially integrated with a novel dual-PCBA structure and an anti-theft tactile switch detection mechanism. The purposes of the new methods and apparatuses are to achieve the following: (1) improved reliability of signal reception and transmission with taillight integration; (2) improved electronic shielding of the processor board and PCB (printed circuit board) assembly; (3) high sensitivity of the new GPS and cellular antennae geometry and dimension design; (4) novel anti-theft security and better vehicle tracking management.

The present invention relates to an apparatus and method for determining an error of a precise map that allows autonomous driving to be maintained reliably, by correcting driving control information for autonomous driving when an error is in a driving route for autonomous driving, as well as determining whether the map has an error, based on the obtained reference information to be corrected, after reference information for comparison with the map for guiding an autonomous driving route is obtained by an LiDAR sensor or a V2X module in autonomous driving.

Journey information is mapped by first identifying an acceptable trigger condition type, such as a photo trigger condition type, of a plurality of trigger condition types. Once a journey has begun, a trigger condition of the acceptable trigger condition type may be detected at a mobile computing device, for example when the mobile computing device captures a photo. A location of the mobile computing device is then identified in response to the detection of the trigger condition, and a marker is placed on a map identifying the location. The marker is also associated with data associated with the trigger condition, for example by allowing the photo captured by the mobile computing device to be viewable at the marker.