Autonomous machine navigation and training using vision system

The autonomous machine navigation technique may generate a three-dimensional point cloud representing the at least one work area based on the feature data and the matching data. Attitude data associated with the points of the three-dimensional point cloud may be generated, the attitude data representing the attitude of the autonomous machine. Boundaries may be determined using attitude data for subsequent navigation of the autonomous machine in the work area. Non-visual sensor data may be used to determine a pose. The pose may be updated based on visual pose data. The autonomous machine may be navigated within a boundary of a work area based on the updated attitude. The three-dimensional point cloud may be generated based on data captured during a patrol phase. A boundary may be generated based on data captured during the rendering phase. 自主机器导航技术可基于特征数据和匹配数据生成表示至少一个作业区域的三维点云。可生成与三维点云的点相关联的姿态数据，该姿态数据表示自主机器的姿态。可使用姿态数据确定边界，以用于所述自主机器在所述作业区域中的后续导航。非视觉传感器数据可用于确定姿态。可基于视觉姿态数据更新所述姿态。可基于更新的姿态在作业区域的边界内导航所述自主机器。可基于在巡视阶段