A vehicle navigation system includes an electronic control unit. The electronic control unit receives image data regarding a source of a traffic jam on a roadway from a plurality of sensors of a plurality of vehicles in a mesh network. Moreover, the electronic control unit generates a bird's eye view of the traffic jam based on the image data, wherein the bird's eye view includes a graphical representation of the source of the traffic jam and a graphical representation of vehicles on the roadway within the traffic jam. A display device displays the bird's eye view.

A road surface information providing apparatus includes an information acquisition unit, a road surface condition estimation unit, a risk map generation unit, and a transmission unit. The information acquisition unit acquires vehicle information from at least one vehicle with a wheel detected as being idling among vehicles that are traveling in a predetermined region, and acquire weather information about a surrounding area around the at least one vehicle. The predetermined region includes the surrounding area around the at least one vehicle. The road surface condition estimation unit generates road surface information about an estimated condition of a road surface in the predetermined region on the basis of the vehicle information and the weather information. The risk map generation unit generates a risk map in which the road surface information is correlated with map information. The transmission unit transmits the risk map to the vehicles traveling in the predetermined region.

Systems and methods for selecting a navigation map for utilization in a region are provided. For example, a method includes determining, for one or more areas, a plurality of scores corresponding respectively to a plurality of digital maps. The method further includes selecting a digital map of the plurality of digital maps based on a value of a score of the plurality of scores. The method further includes providing the selected digital map to a device to utilize one or more navigation functions in a location within the one or more areas.

Embodiments described herein relate to anonymizing of trajectories of mobile devices. Methods may include: receiving an input chunk of probe data points, where the input chunk includes probe data points spanning an input duration, where the input chunk represents at least a first input portion of a trajectory; generating, based at least in part on the input chunk, an output chunk of one or more probe data points, where the output chunk includes one or more probe data points spanning an output duration, where the output duration is different from the input duration, where the output chunk represents at least an output portion of the trajectory, where the first input portion of the trajectory and the output portion of the trajectory share at least a common portion of the trajectory; and providing the output chunk of one or more probe data points to a location-based service provider.

A system for acquiring data from vehicle in real time for mapping infrastructure using blockchain technology.

An information processing device (100) includes a map information generation unit (11) and a usage amount calculation unit (12). The map information generation unit (11) generates map information by using measurement information including a plurality of types of information measured by a measurement device (300) which measures information on features and is mounted on a measurement vehicle (310). The usage amount calculation unit (12) calculates a usage amount of the map information generation unit (11) used for generating the map information by using at least one of the plurality of types of information included in measurement information.

Embodiments of the present disclosure provide a method and apparatus for generating information. A method may include: determining, according to received positioning request information, visiting information for a target area of interest, the visiting information including location information of at least one visiting point; determining, according to the location information of the at least one visiting point, a visiting point distribution map including the at least one visiting point; performing grid division on the visiting point distribution map, to obtain a first grid map including at least one grid; and generating, based on the first grid map, outline information for the target area of interest.

According to an aspect of an embodiment, operations may comprise obtaining a pose graph that comprises a plurality of nodes. The operations may also comprise dividing the pose graph into a plurality of pose subgraphs, each pose subgraph comprising one or more respective pose subgraph interior nodes and one or more respective pose subgraph boundary nodes. The operations may also comprise generating one or more boundary subgraphs based on the plurality of pose subgraphs, each of the one or more boundary subgraphs comprising one or more respective boundary subgraph boundary nodes and comprising one or more respective boundary subgraph interior nodes. The operations may also comprise obtaining an optimized pose graph by performing a pose graph optimization. The pose graph optimization may comprise performing a pose subgraph optimization of the plurality of pose subgraphs and performing a boundary subgraph optimization of the plurality of boundary subgraphs.

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.

Provided is a system for generation of a customized digital map. The system includes an application server that collects one or more reference transportation routes and regulations associated with a geographical area and one or more current transportation routes and activities being implemented in the geographical area. The application server detects one or more conflicts among a digital map of the geographical area, the one or more reference transportation routes and regulations, and the one or more current transportation routes and activities and executes a conflict resolution routine that resolves the one or more conflicts. The application server further generates conflict resolved data based on an output of the conflict resolution routine and updates the digital map of the geographical area to reflect the conflict resolved data based on presence of at least one difference between the digital map and the conflict resolved data.