A system includes a personal protective equipment (PPE) configured to be worn by an agent. The PPE includes a sensor assembly comprising a radar device configured to generate radar data, a microphone configured to capture speech input from the agent, and an inertial measurement device configured to generate inertial data. The system includes a computing device configured to: process sensor data from the sensor assembly, the sensor data including at least the radar data and the inertial data, to generate pose data of the agent based on the processed sensor data, the pose data including a location and an orientation of the agent as a function of time, to process the speech input to identify an item of interest in an environment in which the PPE is deployed, and to form mapping information for the environment with the item of interest being marked, based on the processed speech input.

An information processing apparatus includes: a map expression data storage unit in which two or more pieces of map expression data expressing a map are stored, the data being associated with one or more attribute values containing region specifying information for specifying a region that is being expressed; a receiving unit that receives position specifying information for specifying a position from a terminal apparatus; a data acquiring unit that acquires one or more pieces of map expression data associated with region specifying information corresponding to a position specified with the position specifying information, from the map expression data storage unit; and a transmitting unit that transmits the one or more pieces of map expression data acquired by the data acquiring unit, to the terminal apparatus.

A map information system includes: at least one vehicle; and a map server configured to communicate with the vehicle and store a high-precision map, wherein the vehicle includes: a turn signal lever sensor configured to detect a turn signal operation by a driver; an external environment sensor configured to acquire information on surroundings of the vehicle; an own vehicle position identifying device configured to identify a position of the vehicle; and a controller configured to transmit, to the map server, the turn signal operation, the position of the vehicle, and the information on the surroundings, and the map server updates the high-precision map based on the information acquired by the external environment sensor when comparing the high-precision map stored in the map server with the turn signal operation and determining that a branching route is present.

In some implementations, a route between a starting point and a destination point may be encoded in a map-independent way. A route is an ordered list of segments that connect the starting point to the destination point. By being map-independent, the route can be encoded on one map version, such as at a server device, and later decoded on a different map version, such as on a user device. In an embodiment, the user device may decode the route using the same codec library that was used by the server to encode the route. Moreover, in an approach, the user device may select a subset of support points along the route to provide to the server which are sufficient to describe the route in order to conserve resources. Using these techniques, a route can be encoded in a very space efficient way with a decoding error rate close to 0%.

An information processing device includes an acquisition unit acquires a data set in which each data includes information regarding a position, an estimation unit estimates a position value indicating a value related to a position of target data that is data to be a target of value estimation based on evaluation in a predetermined task of data sets including mutually different data, a decision unit decides whether to transmit the target data to an external device based on a non-transmission index that is set based on an instruction of a user, and transmission unit transmits the target data to the external device in accordance with the decision made by the decision unit.

In one aspect, a computerized method for automatically implementing geocoding corrections in a routing system includes the step of providing a user-side mobile device, wherein the user-side mobile device comprises a routing application and display a web map. The method includes the step of geocoding a correction to the latitude and longitude of a point of interest. The method includes the step of enabling an end-user of the user-side mobile device to enters an address string into the routing application. The method includes the step of geocoding the address string to a best possible location. The method includes the step of generating a confidence score for the geocoded location. The method includes the step of providing the display of the web map with a set of draggable location markers on the web map with a confidence-sorted list on the side of the display. The method includes the step of posting a correctly geocoded location with a routing service using the routing application.

Techniques are disclosed for updating map data. The techniques may include detecting a traffic light in a first image, determining, based at least in part on the traffic light detected in the first image, a proposed three-dimensional position of the traffic light in a three-dimensional coordinate system associated with map data. The proposed three-dimensional position may then be projected into a second image to determine a two-dimensional position of the traffic light in the second image and the second image may be annotated, as an annotated image, with a proposed traffic light location indicator associated with the traffic light. The techniques further include causing a display to display the annotated image to a user, receiving user input associated with the annotated images, and updating, as updated map data, the map data to include a position of the traffic light in the map data based at least in part on the user input.

Embodiments of the present disclosure provides a high-precision map-based human-machine interaction method and apparatus. A specific embodiment of the method includes: acquiring a pre-generated high-precision map; analyzing, in response to receiving an information addition request, the information addition request; and adding additional information indicated by the information addition request to the pre-generated high-precision map to generate an updated high-precision map.

In one aspect, a computerized method for automatically implementing geocoding corrections in a routing system includes the step of providing a user-side mobile device, wherein the user-side mobile device comprises a routing application and display a web map. The method includes the step of geocoding a correction to the latitude and longitude of a point of interest. The method includes the step of enabling an end-user of the user-side mobile device to enters an address string into the routing application. The method includes the step of geocoding the address string to a best possible location. The method includes the step of generating a confidence score for the geocoded location. The method includes the step of providing the display of the web map with a set of draggable location markers on the web map with a confidence-sorted list on the side of the display. The method includes the step of posting a correctly geocoded location with a routing service using the routing application.

A navigation apparatus and method which uses personal contact-based route guidance. A route guidance generator receives information about personal contacts including a location, a description and a rating value for route guidance and generates route guidance suitable for navigation applications. The personal contacts based guidance can be combined with normal street and maneuver based guidance.