VSLAM Technology – Visual Simultaneous Localization and Mapping
Monocular VSLAM software with sparse 3D output map
Jointly reconstructing a 3D map of the environment and identifying the camera path within that map, relying on visual (camera) information
Outputs: -Visualization of a 3D map as a point cloud and 6 DoF camera trajectory in a graphical environment -A file that contains the camera relative 3-axis translation and relative pose in unit quaternion representation
Typical applications:
Autonomous navigation
Large-scale area reconstruction (cities, archaeological sites etc.)
Robotic mapping
3D point-cloud reconstruction using μ-precision accuracy
Synthesizing the data in a 3D geometry using an optical camera system and projected light patterns for surface quality inspection
Fully automatic point cloud generation with no user interaction
Reconstruction of different poses in ~5secs
The final 3D point cloud is generated by an iterative error minimization procedure between all single view reconstructions
Point spacing in the order of
70um for 1 pose captured at ~25cm
<30um, for a PCL merging of >4 different poses
Typical applications:
3D modeling of small and medium scale objects (< 1sq. m)
Additive Manufacturing
Quality Inspection
Cookies
Our site uses cookies and other technologies to serve your experience and understand how visitors use our site. By staying at Irida Labs you're consenting to the use of cookies. Privacy and Cookie Policy