A server device 200 is a map generation device which assigns, to voxel data in the map DB 20 which is divided into multiple voxels, a first weight value for each voxel, wherein the first weight value is associated with the presence of a stationary object and a moving object. Then, the server device 200 acquires upload information Iu which includes position information relating to a travelling route of a measurement vehicle during measurement of point cloud data needed for generation or update of the voxel data. Then, the server device 200 determines the first weight value for each voxel based on the travelling route of the measurement vehicle identified by the position information included in the upload information Iu.

Techniques relating to monitoring map consistency are described. In an example, a monitoring component associated with a vehicle can receive sensor data associated with an environment in which the vehicle is positioned. The monitoring component can generate, based at least in part on the sensor data, an estimated map of the environment, wherein the estimated map is encoded with policy information for driving within the environment. The monitoring component can then compare first information associated with a stored map of the environment with second information associated with the estimated map to determine whether the estimated map and the stored map are consistent. Component(s) associated with the vehicle can then control the object based at least in part on results of the comparing.

Another computer implemented method for estimating lanes for a vehicle may include the following steps carried out by computer hardware components: determining measurement data at a location of the vehicle using a sensor mounted at the vehicle; transforming the measurement data of the sensor into a global coordinate system to obtain transformed measurement data; and estimating lanes at the location for the vehicle based on the transformed measurement data.

A map merging method for an electronic apparatus which includes: obtaining information about a first local map of a first apparatus, a pose of the first apparatus in the first local map, a second local map of a second apparatus, a pose of the second apparatus in the second local map, and an image of the second apparatus obtained by the first apparatus; identifying a relative pose of the second apparatus relative to the first apparatus from the image using a first trained artificial neural network; transforming the second local map to correspond to the first local map based on the relative pose, the pose of the first apparatus, and the pose of the second apparatus; and merging the first local map and a transformed second local map transformed in the transforming the second local map to output a merged map is provided.

Provided are a self-movement robot, a map invoking method and a combined robot. The self-movement robot includes a robot body and a control center disposed on the body, the robot body comprising a distance sensor, the distance sensor collects two-dimensional map information of a working surface on which the self-movement robot is located, and collects spatial height information above the working surface on which the self-movement robot is located; and while obtaining the two-dimensional map information of the working surface, the control center overlays the spatial height information to the two-dimensional map information and obtains three-dimensional map information of a working region.

Systems, devices, methods, and computer-readable media for horizon-based navigation. A method can include receiving image data corresponding to a geographical region in a field of view of an imaging unit and in which the device is situated, based on the received image data, generating, by the processing unit, an image horizon corresponding to a horizon of the geographical region and from a perspective of the imaging unit, projecting three-dimensional (3D) points of a 3D point set of the geographical region to an image space of the received image data resulting in a synthetic image, generating, by the processing unit, a synthetic image horizon of the synthetic image, and responsive to determining the image horizon sufficiently correlates with the synthetic image horizon, providing a location corresponding to a perspective of the synthetic image as a location of the processing unit.

An information processing device or the like capable of notifying of appropriateness of map information is provided.

In the information processing device, sensor information is acquired from one or more sensors, map information around the sensor is generated based on the sensor information, appropriateness of the map information is estimated based on at least one piece of information between the sensor information and the map information generated by the map information generation unit, and the appropriateness is notified of.

In accordance with an embodiment, a mobile infant care device includes a carrier having an inner space configured to hold an infant positioned therein, and driving wheels provided at a lower part of the carrier; a monitoring system affixed to the carrier and configured to monitor a state of the infant positioned in the inner space of the carrier; a driving system coupled to the driving wheels, the driving system configured to move a position of the carrier by driving the driving wheels; a communication system configured to wirelessly transmit a monitoring result of the monitoring system to a user terminal device or to wirelessly receive an operation input from the user terminal device; and a controller configured to cause the driving system to move the carrier based on the monitoring result of the monitoring system or the operation input received through the communication system.

A vehicle control method according to an embodiment includes selecting a target vehicle to share low-level sensor information with based on the low-level sensor information obtained by a host vehicle and information on a structure included in high-definition map information, and receiving low-level sensor information of the structure from the target vehicle to update a sensor data map of the host vehicle, and performing map matching with the high-definition map information through feature points of a road extracted based on the updated sensor data map.

A hybrid mapping and localization system using continuous localization algorithms is disclosed. When a localization quality is sufficiently high, based on a validated points localization monitor metric, then the map updates are allowed to be made on the localization map. This helps localizing in dynamic environments because these environment changes are actually integrated into the underlying map, so that the particle filter does not snap to incorrect object locations.