Path planning of a four-rotor aircraft based on shortest path algorithm and statistical analysis. - Tianwei Shi; Hong Wang 010; Fuwang Wang (FSKD, 2013)

Indoor path planning for hex-rotor aircraft with landmark-based visual navigation. - Tianwei Shi; Hong Wang 010; Wenhua Cui; Ling Ren 002 (FSKD, 2015)

Brain Computer Interface system based on indoor semi-autonomous navigation and motor imagery for Unmanned Aerial Vehicle control. - Tianwei Shi; Hong Wang 010; Chi Zhang 002 (Expert Syst. Appl., 2015)

Real-Time EEG-Based Detection of Fatigue Driving Danger for Accident Prediction. - Hong Wang 010; Chi Zhang 002; Tianwei Shi; Fuwang Wang; Shujun Ma (Int. J. Neural Syst., 2015)

基于Kinect手势识别的应用与研究 (Application and Research on Gesture Recognition by Kinect Sensors). - Zesheng Yu; Wenhua Cui; Tianwei Shi (计算机科学, 2016)

UAV control in 2D space based on brain computer interface. - Ying An; Tianwei Shi; Ling Ren 002; Wanbo Liu; Xiaoyu Jiang (ICSAI, 2017)

3D face recognition based on kinect depth data. - Zijun Cheng; Tianwei Shi; Wenhua Cui; Yunqi Dong; Xuehan Fang (ICSAI, 2017)

Feature recognition of motor imaging EEG signals based on deep learning. - Tianwei Shi; Ling Ren 002; Wenhua Cui (Pers. Ubiquitous Comput., 2019)

Irregular terrain boundary and area estimation with UAV. - Tianwei Shi; Wenhua Cui; Ling Ren 002; Chi Zhang 002 (Soft Comput., 2019)

Indoor space target searching based on EEG and EOG for UAV. - Tianwei Shi; Hong Wang 010; Wenhua Cui; Ling Ren 002 (Soft Comput., 2019)

LaM-2SRN: A Method Which Can Enhance Local Features and Detect Moving Objects for Action Recognition. - Yangyang Qiao; Whenhua Cui; Tianwei Shi (IEEE Access, 2020)

Brain computer interface system based on monocular vision and motor imagery for UAV indoor space target searching. - Tianwei Shi; Guang-Ming Chang; Jiao-Feng Qiang; Ling Ren 002; Wen-Hua Cui (Biomed. Signal Process. Control., 2023)

Brain Computer Interface Based on Motor Imagery for Mechanical Arm Grasp Control. - Tianwei Shi; Ke-Jin Chen; Ling Ren 002; Wen-Hua Cui (Inf. Technol. Control., 2023)