Node and Edge Embedding Learning for Static Obstacle Segmentation
Jan 1, 2023·,,,,,,·
1 min read
Prathmesh Bele*
Apurva Kulkarni*
Hitul Desai
Amey Kavde
Dashrath Mali
Laxmikant Sahoo
et al.
Proposed a novel GNN architecture formulating free-space mapping as a scalable edge-prediction problem. Architected a dual-path Graph Attention Network to independently process node and edge features. Implemented class-aware edge retention via feature fusion, achieving parity with inflexible rule-based legacy systems.