{"paper":{"title":"Dynamic Body VSLAM with Semantic Constraints","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"K. Madhava Krishna, N. Dinesh Reddy, Prateek Singhal, Visesh Chari","submitted_at":"2015-04-27T20:30:04Z","abstract_excerpt":"Image based reconstruction of urban environments is a challenging problem that deals with   optimization of large number of variables, and has several sources of errors like the presence of   dynamic objects. Since most large scale approaches  make the assumption of observing static scenes, dynamic objects are relegated to the noise   modeling section of such systems. This is an approach of convenience since the RANSAC based framework used to compute most   multiview geometric quantities for static scenes naturally confine dynamic objects to the class of outlier   measurements. However, recons"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1504.07269","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}