activity
20192026
most citedTowards Generation and Evaluation of Comprehensive Mapping Robot Datasets

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CY2026

Large language models create an uneven informational layer over cities

Lin Chen, Guangyuan Weng, Esteban Moro

Large language models (LLMs) are emerging as a new informational layer over cities, shaping which places people discover, consider, and ultimately visit. Yet little is known about…

cs.CY2025

Beyond Distance: Mobility Neural Embeddings Reveal Visible and Invisible Barriers in Urban Space

Guangyuan Weng, Minsuk Kim, Yong-Yeol Ahn +1

Human mobility in cities is shaped not only by visible structures such as highways, rivers, and parks but also by invisible barriers rooted in socioeconomic segregation, uneven acc…

cs.CV2022

Action Recognition based on Cross-Situational Action-object Statistics

Satoshi Tsutsui, Xizi Wang, Guangyuan Weng +3

Machine learning models of visual action recognition are typically trained and tested on data from specific situations where actions are associated with certain objects. It is an o…

cs.RO2020

Advanced Mapping Robot and High-Resolution Dataset

Hongyu Chen, Zhijie Yang, Xiting Zhao +8

This paper presents a fully hardware synchronized mapping robot with support for a hardware synchronized external tracking system, for super-precise timing and localization. Nine h…

cs.RO2019★ 3 cited

Towards Generation and Evaluation of Comprehensive Mapping Robot Datasets

Hongyu Chen, Xiting Zhao, Jianwen Luo +8

This paper presents a fully hardware synchronized mapping robot with support for a hardware synchronized external tracking system, for super-precise timing and localization. We als…