paper-with-me

Semantic SLAM

2개 벤치마크 · 논문 53편 · 이 태스크의 논문 보기 →

Benchmarks

Bonn RGB-D Dynamic

결과 2개

TUM RGB-D

결과 2개

Most implemented

Papers

BPDA-GMM: Bayesian Probabilistic Data Association via Gaussian Mixture Models for Semantic SLAM

2026-06-03 · Thanh Nguyen Canh, Haolan Zhang, Xiem HoangVan, Antonio Sgorbissa 외 arxiv

Probabilistic data association (PDA) improves semantic SLAM in perceptually aliased scenes, but existing methods often assume a fixed landmark set, recompute association weights as the map grows, or rely on hand-tuned nu…

Semantic SLAM

RADIO-ViPE: Online Tightly Coupled Multi-Modal Fusion for Open-Vocabulary Semantic SLAM in Dynamic Environments

2026-04-28 · Zaid Nasser, Mikhail Iumanov, Tianhao Li, Maxim Popov 외 arxiv

We present RADIO-ViPE (Reduce All Domains Into One -- Video Pose Engine), an online semantic SLAM system that enables geometry-aware open-vocabulary grounding, associating arbitrary natural language queries with localize…

Natural Language QueriesSemantic SLAM

GS3LAM: Gaussian Semantic Splatting SLAM

2026-03-29 · Linfei Li, Lin Zhang, Zhong Wang, Ying Shen arxiv

Recently, the multi-modal fusion of RGB, depth, and semantics has shown great potential in dense Simultaneous Localization and Mapping (SLAM). However, a prerequisite for generating consistent semantic maps is the availa…

Semantic SLAM

PathSpace: Rapid continuous map approximation for efficient SLAM using B-Splines in constrained environments

2026-03-03 · Aduen Benjumea, Andrew Bradley, Alexander Rast, Matthias Rolf arxiv

Simultaneous Localization and Mapping (SLAM) plays a crucial role in enabling autonomous vehicles to navigate previously unknown environments. Semantic SLAM mostly extends visual SLAM, leveraging the higher density infor…

Autonomous VehiclesDecision MakingSemantic SLAM

IRIS-SLAM: Unified Geo-Instance Representations for Robust Semantic Localization and Mapping

2026-02-21 · Tingyang Xiao, Liu Liu, Wei Feng, Zhengyu Zou 외 arxiv

Geometry foundation models have significantly advanced dense geometric SLAM, yet existing systems often lack deep semantic understanding and robust loop closure capabilities. Meanwhile, contemporary semantic mapping appr…

Semantic SLAM

SceneVGGT: VGGT-based online 3D semantic SLAM for indoor scene understanding and navigation

2026-02-12 · Anna Gelencsér-Horváth, Gergely Dinya, Dorka Boglárka Erős, Péter Halász 외 arxiv

We present SceneVGGT, a spatio-temporal 3D scene understanding framework that combines SLAM with semantic mapping for autonomous and assistive navigation. Built on VGGT, our method scales to long video streams via a slid…

Scene UnderstandingChange DetectionSemantic SLAM

전체 53편 보기 →