1 citations · 1 across the 5 of their papers we have counts for
5 papers
DAVIO: Dense Monocular-Inertial SLAM with Feed-Forward Initialization and Pose-Conditioned Mapping
Jaafar Mahmoud, Arthur Movsesyan, Mikhail Iumanov +1
A camera and an IMU are the minimal sensor setup for metric localization and dense mapping, yet classical visual--inertial filters must wait for parallax before they start and then…
RADIO-ViPE: Online Tightly Coupled Multi-Modal Fusion for Open-Vocabulary Semantic SLAM in Dynamic Environments
Zaid Nasser, Mikhail Iumanov, Tianhao Li +3
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 arbitrar…
KM-ViPE: Online Tightly Coupled Vision-Language-Geometry Fusion for Open-Vocabulary Semantic SLAM
Zaid Nasser, Mikhail Iumanov, Tianhao Li +7
We present KM-ViPE (Knowledge Mapping Video Pose Engine), a real-time open-vocabulary SLAM framework for uncalibrated monocular cameras in dynamic environments. Unlike systems requ…
LEG-SLAM: Real-Time Language-Enhanced Gaussian Splatting for SLAM
Roman Titkov, Egor Zubkov, Dmitry Yudin +3
Modern Gaussian Splatting methods have proven highly effective for real-time photorealistic rendering of 3D scenes. However, integrating semantic information into this representati…
OSMa-Bench: Evaluating Open Semantic Mapping Under Varying Lighting Conditions
Maxim Popov, Regina Kurkova, Mikhail Iumanov +2
Open Semantic Mapping (OSM) is a key technology in robotic perception, combining semantic segmentation and SLAM techniques. This paper introduces a dynamically configurable and hig…