3 papers
cs.LG2024
Machine Learning-Based Malicious Vehicle Detection for Security Threats and Attacks in Vehicle Ad-hoc Network (VANET) Communications
Thanh Nguyen Canh, Xiem HoangVan
With the rapid growth of Vehicle Ad-hoc Network (VANET) as a promising technology for efficient and reliable communication among vehicles and infrastructure, the security and integ…
cs.RO2024
S3M: Semantic Segmentation Sparse Mapping for UAVs with RGB-D Camera
Thanh Nguyen Canh, Van-Truong Nguyen, Xiem HoangVan +2
Unmanned Aerial Vehicles (UAVs) hold immense potential for critical applications, such as search and rescue operations, where accurate perception of indoor environments is paramoun…
cs.RO2024
Object-Oriented Semantic Mapping for Reliable UAVs Navigation
Thanh Nguyen Canh, Armagan Elibol, Nak Young Chong +1
To autonomously navigate in real-world environments, special in search and rescue operations, Unmanned Aerial Vehicles (UAVs) necessitate comprehensive maps to ensure safety. Howev…