This week, I focused on improving how we combine LiDAR scan data from different parts of a room to make a single 3D model. I used the Open3D library, which is known for its 3D data processing capabilities, including point cloud registration. I’ve made some progress, but aligning the scans from different locations is still a problem. The scans don’t match up perfectly, which has put us behind schedule. Because of these alignment issues, this part of the project is behind schedule. Getting the point clouds to line up correctly is crucial for moving forward and affects the quality of the 3D models we’re creating. Next week, I plan to look for new ways to combine point clouds, beyond what Open3D offers. This might include trying out different registration algorithms for better accuracy. Work on algorithms to fill in gaps in the data. The misalignment means there are areas without enough information. I’ll focus on finding ways to fill these gaps effectively.