Chao Gao

Geomorphology-constrained bathymetric inversion of turbid tidal channels using centerline-network priors and machine learning

Jianchun Chen, Chao Gao, Yan Gu, Xiangyu Ou, Xiaoyi Cheng, Shibing Zhu, et al.

PPO-GAT-Follow: Graph-Attention Reinforcement Learning for Robust Robot Person Following in Dense Crowds

Xinyu Zhou, Ye Shi, Songhao Piao, Chao Gao

Robot person following (RPF) in dense crowds requires a mobile robot to maintain an appropriate relative position with respect to a moving target while avoiding surrounding pedestrians and satisfying rear-following and social constraints. This paper proposes PPO-GAT-Follow, an in…Read more

The associations between emotional neglect and positive mental health: the mediating role of stress-is-enhancing mindset and the moderating role of stress-is-debilitating mindset

H Wang, Mengxuan Li, Gao Y, Min Zou, Haizhou Leng, Chao Gao

Objective This study aimed to investigate the associations among emotional neglect (EN), stress-is-enhancing mindset (SIEM), stress-is-debilitating mindset (SIDM), and positive mental health (PMH). Methods The cross-sectional survey was employed in this study. A sample of 2150 co…Read more

PL-LIT: A LiDAR-Inertial-Thermal SLAM Using Point-Line Features and Thermographic Mapping

Jiawei Xia, Yixiao Feng, Yongliang Shi, Chao Gao, Renjing Xu, Weining Lu, et al.

Thermal imaging is resilient to adverse conditions, such as intense illumination, low-light operation, and fog, and can therefore mitigate odometry degradation when visible-spectrum imagery becomes unreliable. Nevertheless, most thermal cameras employ automatic gain control (AGC)…Read more

The Green Effect of Digital Intelligence in Chinese Cities: An Empirical Investigation Based on Big Data and Machine Learning Methods

Chao Gao, Jiayu Fang

In the digital economy era, digitalization and intelligent technologies have profoundly influenced regional green development. This study uses data from 277 prefecture-level and above cities in China spanning the years 2011 to 2022 and employs a two-way fixed effects model along…Read more

Satellite Image Fusion Airborne LiDAR Point-Clouds-Driven Machine Learning Modeling to Predict the Carbon Stock of Typical Subtropical Plantation in China

Guangpeng Fan, Binghong Zhang, Jialing Zhou, Ruoyoulan Wang, Qingtao Xu, Xiangquan Zeng, et al.

In the current context of carbon neutrality, afforestation is an effective means of absorbing carbon dioxide. Stock can be used not only as an economic value index of forest wood resources but also as an important index of biomass and carbon storage estimation in forest emission…Read more