In this video, an Aeryon Scout, mounted with a Hokuyo URG lidar, builds a 3D occupancy grid map of our lab environment using the Octomap library (http://octomap.sourceforge.net/ ). Vehicle localization in x, y, z, and yaw are performed though an Optitrack system, while roll and pitch are obtained through on-board IMU estimates. The generated maps look promising, and we are looking forward to incorporating them with other algorithms.
Are you considering probabilities for each grid element? and if your answers is affirmative... How do you assign them?
jetapiero 1 year ago