ABotN-Bench is a benchmark suite built on a high-fidelity 3D Gaussian Splatting (3DGS) reconstruction stack to advance the evaluation of closed-loop, social-rule-aware visual navigation in real-world indoor and outdoor environments. This benchmark was introduced in the paper ABot-N1: Toward a General Visual Language Navigation Foundation Model.
Dataset Summary
The benchmark consists of three complementary datasets:
