Abstract: A method of controlling a driving speed, which controls a working vehicle at a remote location to be driven on a route at an optical driving speed, is provided. The method includes: calculating terrain data based on a terrain scan image of the route acquired by a terrain scanner of the working vehicle; calculating the optimal driving speed according to the calculated terrain data; generating a driving control signal controlling the working vehicle to be driven on the route at the calculated optimal driving speed; calculating a vibration value of the working vehicle being driven on the route at the calculated optimal driving speed based on a sensing value acquired by a sensor of the working vehicle; adjusting the calculated optimal driving speed according to the calculated vibration value; and regenerating a driving control signal controlling the working vehicle to be driven on the route at the adjusted optimal driving speed.

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: 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: 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 method of controlling a driving speed, which controls a working vehicle at a remote location to be driven on a route at an optical driving speed, is provided. The method includes: calculating terrain data based on a terrain scan image of the route acquired by a terrain scanner of the working vehicle; calculating the optimal driving speed according to the calculated terrain data; generating a driving control signal controlling the working vehicle to be driven on the route at the calculated optimal driving speed; calculating a vibration value of the working vehicle being driven on the route at the calculated optimal driving speed based on a sensing value acquired by a sensor of the working vehicle; adjusting the calculated optimal driving speed according to the calculated vibration value; and regenerating a driving control signal controlling the working vehicle to be driven on the route at the adjusted optimal driving speed.

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: 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: Provided are equipment operation safety monitoring system and method and computer-readable medium having a program recorded thereon, the program allowing a computer to execute the method. The equipment operation safety monitoring system includes an image input unit, an integrated image generation unit, a guideline generation unit, and an image output unit. The image input unit is mounted on heavy equipment and inputs a plurality of images acquired by photographing partitioned areas in all the directions around the heavy equipment. The integrated image generation unit generates an integrated image including the areas in all the directions around the heavy equipment by using the plurality of the images. The guideline generation unit generates a guideline indicating a position separated by a predetermined distance from the heavy equipment. The image output unit illustrates the guideline on the integrated image and outputs the integrated image.