Multisensor Data Fusion for Reliable Obstacle Avoidance. - Thanh Nguyen Canh; Truong Son Nguyen; Cong Hoang Quach; Xiem HoangVan; Manh Duong Phung (ICCAIS, 2022)

Object-Oriented Semantic Mapping for Reliable UAVs Navigation. - Thanh Nguyen Canh; Armagan Elibol; Nak Young Chong; Xiem HoangVan (ICCAIS, 2023)

Machine Learning-Based Malicious Vehicle Detection for Security Threats and Attacks in Vehicle Ad-Hoc Network (VANET) Communications. - Thanh Nguyen Canh; Xiem HoangVan (RIVF, 2023)

Underwater Image Enhancement for Depth Estimation via Various Image Processing Techniques. - Thanh Nguyen Canh; Minh DoNgoc; Truong Nguyen Quang; Huong Bui Thanh; Xiem HoangVan (ICSSE, 2024)

S3M: Semantic Segmentation Sparse Mapping for UAVs with RGB-D Camera. - Thanh Nguyen Canh; Van-Truong Nguyen; Xiem HoangVan; Armagan Elibol; Nak Young Chong (SII, 2024)

Fusion LiDAR-Inertial-Encoder data for High-Accuracy SLAM. - Manh Do Duc; Thanh Nguyen Canh; Minh DoNgoc; Xiem HoangVan (CoRR, 2024)

Enhancing Social Robot Navigation with Integrated Motion Prediction and Trajectory Planning in Dynamic Human Environments. - Thanh Nguyen Canh; Xiem HoangVan; Nak Young Chong (CoRR, 2024)

Toward Integrating Semantic-aware Path Planning and Reliable Localization for UAV Operations. - Thanh Nguyen Canh; Huy-Hoang Ngo; Xiem HoangVan; Nak Young Chong (CoRR, 2024)

Development of an indoor localization and navigation system based on monocular SLAM for mobile robots. - Thanh Nguyen Canh; Manh Do Duc; Xiem HoangVan (CoRR, 2024)

Development of a Human-Robot Interaction Platform for Dual-Arm Robots Based on ROS and Multimodal Artificial Intelligence. - Thanh Nguyen Canh; Ba Phuong Nguyen; Hong Quan Tran; Xiem HoangVan (CoRR, 2024)

Enhancing Depth Image Estimation for Underwater Robots by Combining Image Processing and Machine Learning. - Truong Nguyen Quang; Thanh Nguyen Canh; Xiem HoangVan (CoRR, 2024)

Quadrotor Trajectory Tracking Using Linear and Nonlinear Model Predictive Control. - Thanh Nguyen Canh; Huy-Hoang Ngo; Anh Viet Dang; Xiem HoangVan (CoRR, 2024)

Flight Time Improvement Using Adaptive Model Predictive Control for Unmanned Aerial Vehicles. - Huy-Hoang Ngo; Thanh Nguyen Canh; Xiem HoangVan (CoRR, 2024)

ESRPCB: An edge guided super-Resolution model and ensemble learning for tiny Printed Circuit Board defect detection. - Xiem HoangVan; Dang Bui Dinh; Thanh Nguyen Canh; Van-Truong Nguyen (Eng. Appl. Artif. Intell., 2025)

IRAF-SLAM: An Illumination-Robust and Adaptive Feature-Culling Front-End for Visual SLAM in Challenging Environments. - Thanh Nguyen Canh; Bao Nguyen Quoc; Haolan Zhang 003; Bupesh Rethinam Veeraiah; Xiem HoangVan; Nak Young Chong (CoRR, 2025)

Adaptive Prior Scene-Object SLAM for Dynamic Environments. - Haolan Zhang 003; Thanh Nguyen Canh; Chenghao Li; Nak Young Chong (CoRR, 2025)