LiDAR Systems
xtan explores LiDAR-related workflows where stereo vision, spatial tracking, and geometry-aware sensing may complement spatial perception systems used in robotics, mapping, and autonomous environments.
Spatial sensing and environment perception
LiDAR systems are widely used for spatial sensing, environment mapping, and distance measurement. Stereo vision pipelines may be explored as complementary perception systems where visual geometry and spatial sensing contribute to environment understanding.
Potential for robotics and mapping systems
Many robotics and autonomous systems combine multiple sensors such as cameras, LiDAR, and inertial sensors. Geometry-aware vision systems may support experimental environments where visual perception contributes to spatial mapping and motion analysis.
Why xtan can be relevant
xtan focuses on stereo vision, geometry-first interaction, and practical spatial systems. Within LiDAR-related environments this may support research workflows exploring complementary perception systems, spatial sensing, and experimental multi-sensor setups.