Disclosed is an unmanned platform with bionic visual multi-source information and intelligent perception. The unmanned platform is equipped with a bionic polarization vision/inertia/laser radar combined navigation module, a deep learning object detection module and an autonomous obstacle avoidance module; the bionic polarization vision/inertia/laser radar combined navigation module is configured to position and orient the unmanned platform in real time; the deep learning object detection module is configured to sense an environment around the unmanned platform according to RGB images of a surrounding environment collected by the bionic polarization vision/inertia/laser radar combined navigation module; and the autonomous obstacle avoidance module determines whether there are any obstacles around the unmanned platform during running according to the objects identified by the target, and performs autonomous obstacle avoidance in combination with the carrier navigation and positioning information. Concealment, autonomous navigation, object detection and autonomous obstacle avoidance capabilities of the unmanned platform are thus improved.

An optimized coverage-path planning method for a single unmanned surface mapping vessel (USMV) is implemented with a system including a computer processor executing a computer program loaded in a storage device and implanting the method. The method includes rasterizing and initializing an environmental map, and an unmanned vessel outputting position data and obstacle data according to the environmental map so that path planning is started to provide a target point to the unmanned vessel. In case of tripping in a local optimum at a current-level map for the target point, the map level is updated in an ascending order until the highest level, in order to identify a map level in which the target point is found.

A method of operating a user terminal operating by at least one processor, wherein a bus information providing app executed according to a user input displays an information registration menu screen.

When an information registration signal is input, it is confirmed whether the information registration menu screen includes a bus stop surrounding image and additional information about the bus stop surrounding image, and bus stop surrounding information including the input bus stop surrounding image, the additional information, and location information of the user terminal is transmitted to a bus information system.

Systems and methods are provided for improved generation and selection of robot sensor data for manual annotation and/or use in training machine learning models used to operate robots. An on-robot controller can operate to determine a cross-modal inconsistency, that a temporally proximate target task was failed, and/or that a confidence in a model output indicate that particular sensor data should be transmitted to a remote system for human annotation and/or use in updating the machine learning model(s) of the robot. Embedding vector(s) representing such selected sensor data (e.g., representing common aspects across a population of sets of sensor data) could also be determined and transmitted to the robot. The robot could then determine embeddings for sensor data and, if the embeddings are similar enough to the transmitted embedding(s), the sensor data could be transmitted to the remote system for annotation and/or model updating.

GPR system and method for autonomously conducting a GPR survey of a subsurface bounded by a surface by a GPR device. The GPR device is mechanically connected to an autonomous robot. The method includes defining a survey path on the surface in a survey geometry; causing the robot to autonomously move along the survey path, thereby controlling a position of the GPR device; transmitting, via the GPR device, radar waves into the subsurface and recording their echoes as GPR data together with position data indicative of the position of the GPR device. The GPR system acquires GPR data of a subsurface bounded by a surface. The GPR system includes an autonomous robot, in particular with legs, and a GPR device, in particular which alternatively may be used as a stand-alone device.

The present disclosure provides a map optimization method, an apparatus, an electronic device and a storage medium. Here, the map optimization method includes: obtaining an original map, the original map including an explore zone, a covered zone, an obstacle zone; determining and deleting an error zone from the explore zone in view of the covered zone and the obstacle zone. According to the technical solution of the present disclosure, in view of points in zones of different properties in the original map, and the localization principle, an error zone is determined and deleted from the original map, thereby realizing the optimization of the original map, such that the optimized map is closer to the actual map. This enables the autonomous mobile device to execute tasks more efficiently based on the optimized map.

A buried person search device using a detachable module is disclosed. The device includes a ground drone 10 deployed at a site of a collapse disaster, the ground drone 10 having a communication device 80 and a first beacon, a camera device 40 mounted on the ground drone 10 to photograph surroundings of the ground drone 10, a storage 50 installed on the ground drone 10, a plurality of repeater modules 60 connected by a wireless communication network to relay wireless communications between the ground drone 10, a flying drone 32, and a command and control center 100, each of the repeater modules 60 having a second beacon, and a sensing device 70 installed on the ground drone 10 or the repeater modules 60 to collect a sound, wherein the storage 50 accommodates the repeater modules 60, and throws the repeater modules 60 in response to an operation signal.

An information processing device includes a position and orientation measurement unit to calculate a position and an orientation of a movable apparatus based on measurement information of a first sensor that measures an environment in surroundings of the movable apparatus. A first environment map is created in a vicinity of the movable apparatus based on the measurement information of the first sensor and the position and the orientation, and a second environment map to be merged with the first environment maps determined. Information regarding the second environment map is acquired and a traveling path of the movable apparatus is determined to merge the first environment map and the second environment map based on the information regarding the second environment map.

Embodiments include methods executed by a processor of a robotic device for selecting a frontier goal for autonomous map building within a space, including determining trajectory costs for the robotic device traversing from an occupied area to each of a plurality of available frontier goals, wherein the plurality of available frontier goals include positions within the space from which the robotic device is configured to collect information to autonomously build a map of the space, determining co-visibility costs for each of the plurality of available frontier goals, determining a frontier cost for each of the plurality of available frontier goals based on a difference between the trajectory cost and the co-visibility cost of the respective available frontier goal; and selecting one of the plurality of available frontier goals having a lowest determined frontier cost.

The present invention relates to a method for navigating an unmanned autonomous vehicle on a terrain, comprising moving the vehicle on the terrain, wherein the camera captures images of the terrain, wherein at least two images comprise identical points; creating a map based on the images; autonomous navigation of the vehicle based on the map created; wherein the vehicle is first moved along a perimeter in the terrain, wherein a first set of images is captured, after which a map of the perimeter is created based on the first set, followed by autonomous exploration of the terrain based on the created map of the perimeter, wherein a second set of images is created, after which the map of the terrain is created on the basis of the first and the second set. The invention also relates to an unmanned autonomous vehicle and a use.