Light Beyond Drones Co. Robot self-driving
Robot self-driving
Robot self-drivingUWBUVAI
Robot self-driving
Mapping technology
  • ¡¤ Simultaneous localization and mapping (SLAM)-based mapping technology using LIDAR and camera information
  • ¡¤ Occupancy grid map (OGM) creation technology through LIDAR information and post-correction process
  • ¡¤ OGM modification technology using machine learning
  • ¡¤ Technology to convert OGM into user-friendly maps
Sensor calibration technology
  • ¡¤ Odometric correction technology that detects the rotation of the robot wheel and provides movement distance and posture information
  • ¡¤ Real-time correction technology using UWB technology, etc.
Precision with Landmark Matching
  • ¡¤ Singular point detection through image processing and robot pose and position estimation technology
  • ¡¤ Pose and location estimation technology using wired/wireless tags and visual indicators
Recognition of surrounding obstacles using multiple sensors
  • ¡¤ Obstacle identification technology using IR, Laser, and ultrasonic TOF sensors
  • ¡¤ Obstacle recognition technology using stereo camera
Precision with Landmark Matching
  • ¡¤ Obstacle identification technology using a dynamic obstacle identification model created through machine learning technology and an occupied space clustering model
  • ¡¤ Obstacle avoidance path search technology using optimized DWA algorithm
DWA ±â¹Ý Àå¾Ö¹° ȸÇÇ °æ·Î¼³Á¤ ±â¼ú
Mission routing skills
  • ¡¤ Multi-destination setting and destination prioritization technology for mission execution
  • ¡¤ Route-finding and planning techniques that pass both destinations and waypoints for optimal operation
Route planning
  • ¡¤ Technology to create a cost map based on potential field method calculated based on map data and obstacle sensor values
  • ¡¤ Mission-oriented coast map creation technology considering the location of obstacles by fixed structures, frequency of dynamic obstacles, mission purpose, etc.
  • ¡¤ Global route setting technology using the A* algorithm to search for the shortest path between the starting point and the destination point