activity
20222026
most citedSemantic Visual Simultaneous Localization and Mapping: A Survey

9 citations · 9 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Graph-Based Recognition of Simulated Train-Driver States From Facial and Upper-Body Keypoints

Olivia Nocentini, Marta Lagomarsino, Gokhan Solak +6

Driver fatigue poses a significant challenge to railway safety, with traditional systems like the dead-man switch offering limited and basic alertness checks. This study presents a…

cs.CV2026

IMPACT: A Dataset for Multi-Granularity Human Procedural Action Understanding in Industrial Assembly

Di Wen, Zeyun Zhong, David Schneider +18

We introduce IMPACT, a synchronized five-view RGB-D dataset for deployment-oriented industrial procedural understanding, built around real assembly and disassembly of a commercial…

cs.RO2026

CompliantVLA-adaptor: VLM-Guided Variable Impedance Action for Safe Contact-Rich Manipulation

Heng Zhang, Wei-Hsing Huang, Qiyi Tong +7

We propose a CompliantVLA-adaptor that augments the state-of-the-art Vision-Language-Action (VLA) models with vision-language model (VLM)-informed context-aware variable impedance…

cs.CV2025

Graph-based Online Monitoring of Train Driver States via Facial and Skeletal Features

Olivia Nocentini, Marta Lagomarsino, Gokhan Solak +4

Driver fatigue poses a significant challenge to railway safety, with traditional systems like the dead-man switch offering limited and basic alertness checks. This study presents a…

cs.CV2022★ 9 cited

Semantic Visual Simultaneous Localization and Mapping: A Survey

Kaiqi Chen, Junhao Xiao, Jialing Liu +6

Visual Simultaneous Localization and Mapping (vSLAM) has achieved great progress in the computer vision and robotics communities, and has been successfully used in many fields such…