Incremental-map-based-semantic-segmentation

Semester project for the course Perception and Learning for Robotics. We propose an algorithm that incrementally constructs a 3D dense map and semantically segmentsthe dense map directly. The advantage of our approach is that our classifier canleverage accumulated information of a scene captured in a dense map to make itspredictions. We demonstrate the effectiveness of our proposed methods on twobenchmark data-sets.

Media and Documents

• Project Video

Untitled.mp4

• Project Paper PDF