Li, Qingquan

A Comparative Analysis of LiDAR SLAM-Based Indoor Navigation for Autonomous Vehicles

Zou, Q., Sun, Q., Chen, L., Nie, B., & Li, Q. (2022) · IEEE Transactions on Intelligent Transportation Systems

Robotics and Sensor-Based Localization3D Surveying and Cultural Heritage

Cited by 321

Deep Learning-Based Gait Recognition Using Smartphones in the Wild

Zou, Q., Wang, Y., Wang, Q., Zhao, Y., & Li, Q. (2020) · IEEE Transactions on Information Forensics and Security

Gait Recognition and AnalysisUser Authentication and Security Systems

Cited by 305

Deep Learning-Based Gait Recognition Using Smartphones in the Wild

Zou, Q., Wang, Y., Wang, Q., Zhao, Y., & Li, Q. (2018) · arXiv

Gait Recognition and AnalysisUser Authentication and Security Systems

Cited by 305

Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns

Tu, W., Cao, J., Yue, Y., Shaw, S.-L., Zhou, M., Wang, Z., Chang, X., Xu, Y., & Li, Q. (2017) · International Journal of Geographical Information Science

Human Mobility and Location-Based AnalysisUrban Design and Spatial Analysis

Cited by 298

Urban Traffic Density Estimation Based on Ultrahigh-Resolution UAV Video and Deep Neural Network

Zhu, J., Sun, K., Jia, S., Li, Q., Hou, X., Lin, W., Liu, B., & Qiu, G. (2018) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 127