Abstract: Provided is a driving apparatus including a body, a surroundings detection unit detecting surroundings of the body, the surrounding detection unit including a light detection and ranging (LIDAR) device and a camera, and at least one processor configured to control the driving of the body based on a detection result from the surroundings detection unit, wherein the at least one processor is further configured to detect a ramp and flat ground that are present on a driving path based on an image obtained by the camera, and determine the detected ramp or the detected flat ground from a detection result from the LIDAR device as a non-obstacle.

Abstract: A mobile surveillance apparatus includes: a communication interface configured to receive map data of a preset area; and a processor configured to process the map data by reflecting at least one of unevenness and obstruction on a driving surface of a mobile module, and set a path for the mobile module, based on the processed map data.

Abstract: A remote weapon control device for controlling a weapon having a photographing device is provided. The remote weapon control device includes: a communication interface configured to receive an image captured by the photographing device; an object extractor configured to extract objects from the image; a target extractor configured to extract targets from the objects; a shooting order determinator configured to determine an order of the targets for shooting; and a control signal generator configured to generate a shooting control signal for controlling the weapon to shoot the targets in the determined order.

Abstract: According to a non-limiting example embodiment, a remote control device includes a display configured to display a risk map; an input interface configured to input a travel route for an object to move along; a computing device, including at least one processor, the computing device configured to: receive obstacle information detected as the object moves along an actual travel route based on the travel route, and receive route information of the actual travel route of the object; and reset the travel route inputted by the input interface to a reset travel route in real time based on a mission given to the object or a risk level in each of a safe area and a dangerous area displayed on the risk map.

Abstract: Provided is a driving apparatus including a body, a surroundings detection unit detecting surroundings of the body, the surrounding detection unit including a light detection and ranging (LIDAR) device and a camera, and at least one processor configured to control the driving of the body based on a detection result from the surroundings detection unit, wherein the at least one processor is further configured to detect a ramp and flat ground that are present on a driving path based on an image obtained by the camera, and determine the detected ramp or the detected flat ground from a detection result from the LIDAR device as a non-obstacle.

Abstract: Disclosed herein is an operating system for operating a plurality of mobile platforms. The operating system includes: an operating terminal configured to allocate a bandwidth to a channel of each of the mobile platforms according to a mission of each of the mobile platforms to perform, the channel being used for the operating terminal to perform communications with each of the mobile platforms; and the plurality of mobile platforms each of which is configured to receive the mission from the operating terminal, and send a request to adjust and reallocate the bandwidth to the channel based on performance information about the mobile platforms. It is possible to operate the plurality of mobile platforms efficiently by using a limited frequency band.

Abstract: A remote control device includes: a display configured to receive a driving image and a monitoring image from each of N mobile robots, such that N driving images and M monitoring images are received, and to display the received N driving images and M monitoring images; a sensor configured to track a gaze of a user; and a controller configured to provide a control right to the user for a first robot of the N mobile robots as a master mobile robot based on the gaze of the user being tracked by the sensor as staying on the driving image or the monitoring image of the first robot displayed on the display.

Abstract: A mobile surveillance apparatus includes: a communication interface configured to receive map data of a preset area; and a processor configured to process the map data by reflecting at least one of unevenness and obstruction on a driving surface of a mobile module, and set a path for the mobile module, based on the processed map data.

Abstract: A remote control device includes: a display configured to receive a driving image and a monitoring image from each of N mobile robots, such that N driving images and M monitoring images are received, and to display the received N driving images and M monitoring images; a sensor configured to track a gaze of a user; and a controller configured to provide a control right to the user for a first robot of the N mobile robots as a master mobile robot based on the gaze of the user being tracked by the sensor as staying on the driving image or the monitoring image of the first robot displayed on the display.

Abstract: According to a non-limiting example embodiment, a remote control device includes a display configured to display a risk map; an input interface configured to input a travel route for an object to move along; a computing device, including at least one processor, the computing device configured to: receive obstacle information detected as the object moves along an actual travel route based on the travel route, and receive route information of the actual travel route of the object; and reset the travel route inputted by the input interface to a reset travel route in real time based on a mission given to the object or a risk level in each of a safe area and a dangerous area displayed on the risk map.

Abstract: In an electric vehicle, a power supplier includes a software type condenser charging circuit and a hardware type condenser charging circuit. The software capacitor charging circuit operates when a controller controls the software type condenser charging circuit while monitoring a voltage between opposite ends at an initial charging stage. The hardware type condenser charging circuit is operated when the controller controls the hardware type condenser charging circuit without monitoring the voltage between the opposite ends of the DC-link condenser or by direct switching manipulation of a user.

Abstract: Provided is a map generation system including a vehicle such as a robot and a remote control apparatus, wherein the vehicle includes a distance sensor configured to output object-distance data; and a processor configured to transmit to the remote control apparatus the object-distance data excluding a portion of data about object-distances which are shorter than a predetermined object-distance, and the remote control apparatus is configured to generate a map based on the object-distance data received from the processor.

Abstract: Disclosed herein is an operating system for operating a plurality of mobile platforms. The operating system includes: an operating terminal configured to allocate a bandwidth to a channel of each of the mobile platforms according to a mission of each of the mobile platforms to perform, the channel being used for the operating terminal to perform communications with each of the mobile platforms; and the plurality of mobile platforms each of which is configured to receive the mission from the operating terminal, and send a request to adjust and reallocate the bandwidth to the channel based on performance information about the mobile platforms. It is possible to operate the plurality of mobile platforms efficiently by using a limited frequency band.

Abstract: Provided is a map generation system including a vehicle such as a robot and a remote control apparatus, wherein the vehicle includes a distance sensor configured to output object-distance data; and a processor configured to transmit to the remote control apparatus the object-distance data excluding a portion of data about object-distances which are shorter than a predetermined object-distance, and the remote control apparatus is configured to generate a map based on the object-distance data received from the processor.

Abstract: A following cruise control method is provided for controlling a control vehicle to follow a target vehicle, the following cruise control method including: determining one of a plurality of vehicles cruising in a group as the target vehicle based on preset priorities of the plurality of vehicles; receiving following-target information comprising at least one of driving information, position information, and state information from the target vehicle; controlling follow-cruising of the control vehicle to follow the target vehicle with a preset following distance from the target vehicle by generating a driving command based on the following-target information; determining whether the target vehicle is abnormal based on the following-target information; and in response to the target vehicle being determined to be abnormal, stopping the follow-cruising of the control vehicle.

Abstract: Provided are a cruise control system and method for an autonomous apparatus having a Light Detection and Ranging (LIDAR) device. The cruise control system is implemented by at least one hardware processor and includes an input unit configured to receive scanning information from the LIDAR device, the scanning information related to peripheral environment of the autonomous apparatus; and a main controller configured to determine a scannable region of the peripheral environment and an unscannable region of the peripheral environment based on the scanning information, and to generate obstacle information by detecting a first sunken region in the scannable region and a second sunken region in the unscannable region.

Abstract: A following apparatus which follows a target object while photographing the target object includes a driving apparatus configured to move a main body, a photographing portion configured to continuously photograph the target object, and a controller configured to obtain an area value of the target object in a live-view motion picture from the photographing portion, obtain a distance value according to the obtained area value, and control the driving apparatus to maintain a distance between the photographing portion and the target object at a reference distance value according to the obtained distance value.

Abstract: A remote weapon control device for controlling a weapon having a photographing device is provided. The remote weapon control device includes: a communication interface configured to receive an image captured by the photographing device; an object extractor configured to extract objects from the image; a target extractor configured to extract targets from the objects; a shooting order determinator configured to determine an order of the targets for shooting; and a control signal generator configured to generate a shooting control signal for controlling the weapon to shoot the targets in the determined order.

Abstract: Provided are a cruise control system and method for an autonomous apparatus having a Light Detection and Ranging (LIDAR) device. The cruise control system is implemented by at least one hardware processor and includes an input unit configured to receive scanning information from the LIDAR device, the scanning information related to peripheral environment of the autonomous apparatus; and a main controller configured to determine a scannable region of the peripheral environment and an unscannable region of the peripheral environment based on the scanning information, and to generate obstacle information by detecting a first sunken region in the scannable region and a second sunken region in the unscannable region.

Abstract: A following cruise control method is provided for controlling a control vehicle to follow a target vehicle, the following cruise control method including: determining one of a plurality of vehicles cruising in a group as the target vehicle based on preset priorities of the plurality of vehicles; receiving following-target information comprising at least one of driving information, position information, and state information from the target vehicle; controlling follow-cruising of the control vehicle to follow the target vehicle with a preset following distance from the target vehicle by generating a driving command based on the following-target information; determining whether the target vehicle is abnormal based on the following-target information; and in response to the target vehicle being determined to be abnormal, stopping the follow-cruising of the control vehicle.