Thai-Viet Dang

About me

My research focuses are Computer Vision, Machine learning, Autonomous Mobile Robot, Controller based Observer Design and STEM/STEAM Education. Currently, I am leading a research team at Lab 506: CVMR, SME, HUST. 

I am looking for motivated the third and fourth year-students, and Master Students working on the following topics: 

• Controller and Observer Design. 

• Path and Motion Planning. 

• Computer Vision/Machine Learning for Robotics (Semantic SLAM, UAV/AMR navigation, depth estimation, etc.)

News

• 2024/11/03: Van-Truong Nguyen, Nhu-Nghia Bui, Dinh-Manh-Cuong Tran, Thai-Viet Dang and Tan Phan Xuan, "FDE-Net: Lightweight Depth Estimation for Monocular Cameras" has been accepted in SoICT 2024. 

• 2024/09/24: Thai-Viet Dang, Phan Xuan Tan, "Hybrid Mobile Robot Path Planning using Safe JBS-A*B algorithm and improved DWA based on Monocular Camera" has been accepted in Journal of Intelligent and Robotic Systems.

• 2024/08/06: Thai-Viet Dang, "Optimization Hybrid Path Planning based on A-star Algorithm combining with DWA"  has been accepted in MM Science Journal.

• 2024/08/06: Chi-Hung Nguyen, Quang-Anh Vu, Kim-Khoi Phung Cong, Thai-Viet Dang, "Optimal obstacle avoidance strategy using deep reinforment learning based on stereo camera"  has been accepted in MM Science Journal.

• 2024/05/14:  Thai-Viet Dang, Nhu-Nghia Bui, Ngoc-Tam Bui "Binary-SegNet: Efficient Convolutional Architecture for Semantic Segmentation based on Monocular Camera" has been accepted in The international conference SCFF24 “From Smart City to Smart Factory for Sustainable Future”.