Abstract: A method for driving in a blind spot of a sensor mounted on an autonomous vehicle is provided. The method includes steps of: a computing device of the autonomous vehicle running on a specific road locating the autonomous vehicle from precision map information, sensor information and GPS information, and in response to determining that the autonomous vehicle is expected to encounter a specific event, transmitting vehicle location data, travelling direction data, vehicle structure data and sensor location data and sensor's viewing angle data to the server, to determine whether a region of interest corresponding to the specific event is included in blind spot candidates; receiving blind spot stereoscopic data, computed from the data received from the autonomous vehicle and 3D occlusion environmental data corresponding to occluding static objects in the blind spot candidates, from the server; and controlling movement of the autonomous vehicle based on the blind spot stereoscopic data.

Abstract: There is provided a method for providing information on rainy environment by referring to a plurality of point data acquired from a LiDAR sensor. The method includes steps of: on condition that a detection area is determined as an area of within a specific distance from the LiDAR sensor mounted on an autonomous vehicle, and laser transmission pulses are emitted through a 1-st layer to an N-th Layer of the LiDAR sensor, a computing device acquiring all the point data from laser reflected pulses, each of which is detected in response to each of the laser transmission pulses, within the detection area; and the computing device accumulating specific point data, among all the point data, which satisfy a specific criterion related to the rainy environment over a period of time, and detecting the rainy environment by referring to the accumulated specific point data.

Abstract: A method for locating a specific autonomous vehicle is provided. The method includes steps of: (a) receiving, by a computing device of the specific autonomous vehicle, map data related to a position of the specific autonomous vehicle and its adjacent regions, from a server; (b) obtaining, by the computing device, a specific object-based sector and a specific vehicle-based sector; and (c) determining, by the computing device, a validity of the specific sensed data by referring to the specific object-based sector, the specific vehicle-based sector and the map object data, and in case the specific sensed data is determined as valid, locating the specific autonomous vehicle by referring to a specific matched result data generated from a matching process between the map object data and the specific sensed data.

Abstract: A method for driving in a blind spot of a sensor mounted on an autonomous vehicle is provided. The method includes steps of: a computing device of the autonomous vehicle running on a specific road locating the autonomous vehicle from precision map information, sensor information and GPS information, and in response to determining that the autonomous vehicle is expected to encounter a specific event, transmitting vehicle location data, travelling direction data, vehicle structure data and sensor location data and sensor's viewing angle data to the server, to determine whether a region of interest corresponding to the specific event is included in blind spot candidates; receiving blind spot stereoscopic data, computed from the data received from the autonomous vehicle and 3D occlusion environmental data corresponding to occluding static objects in the blind spot candidates, from the server; and controlling movement of the autonomous vehicle based on the blind spot stereoscopic data.

Abstract: A braking robot for a braking test of a vehicle is provided. The braking robot includes: a plurality of motors, having same individual output powers, combined with a robot body installed in the vehicle; a motion shaft combined with a pedal presser for applying pedal effort to a brake pedal of the vehicle; a driving force converter which converts rotational forces of the motors, corresponding to the individual output powers of the motors, into a translational force and thus transmits the translational force to the motion shaft; a load sensor, installed on the motion shaft, for detecting the pedal effort applied to the brake pedal by the motion shaft; and a controller for controlling operations of the motors by referring to (1) a scenario for the braking test and (2) information on the pedal effort detected from the load sensor.

Abstract: A braking robot for a braking test of a vehicle is provided. The braking robot includes: a plurality of motors, having same individual output powers, combined with a robot body installed in the vehicle; a motion shaft combined with a pedal presser for applying pedal effort to a brake pedal of the vehicle; a driving force converter which converts rotational forces of the motors, corresponding to the individual output powers of the motors, into a translational force and thus transmits the translational force to the motion shaft; a load sensor, installed on the motion shaft, for detecting the pedal effort applied to the brake pedal by the motion shaft; and a controller for controlling operations of the motors by referring to (1) a scenario for the braking test and (2) information on the pedal effort detected from the load sensor.