This week, my focus was on improving LiDAR data processing and starting the furniture classification component. I managed to combine LiDAR data from different room locations into a single point cloud, a crucial step for creating accurate 3D models of the entire room. Additionally, I began working on furniture classification by downloading a dataset with labeled images and writing preliminary code for data preprocessing and setup for model training.
We’re on schedule with the project’s timeline. The integration of LiDAR data from various positions and the start of furniture classification aligns with our planned milestones.
For the next week, my goals are to advance the furniture classification by training the model on a subset of the data and starting to test its accuracy. Alongside this, I’ll work on improving the 3D mesh quality, specifically developing methods to fill in gaps where LiDAR scanning is insufficient.