arXiv (OAI Expanded)
open access
Stereo4DWalker: Learning 4D-aware Embodied Urban Navigation from Internet Stereo Videos
Despite rapid progress, embodied navigation in dynamic and unstructured urban environments remains brittle. Most existing approaches directly map monocular visual inputs to actions through end-to-end pixel-to-action training, assuming that accurate spatiotemporal (4D) scene understanding will emerge
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