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Field Robotics & Perception Intelligence Laboratory @ KAU
WELCOME!
WELCOME!
🛥️ 🚜 🚗 ✈️
🛥️ 🚜 🚗 ✈️
Research Focus
Research Focus
How can we build trustworthy unmanned vehicle systems?
How can we enable reliable operation in adverse weather such as snow, rain, and fog?
How can we handle challenging environments including rough terrain, maritime domains, and underwater settings?
How can we quantify system reliability?
These questions drive our research on uncertainty-aware perception for field robots.
We develop perception methods that explicitly model uncertainty, enabling robotic systems to operate more robustly, safely, and reliably in complex real-world environments.
Research topics (before KAU)
Research topics (before KAU)
< Development of autonomous surface vehicle and dataset acquisition >
< Development of autonomous surface vehicle and dataset acquisition >
< Navigable region detection and GPS-free perception-guided navigation >
< Navigable region detection and GPS-free perception-guided navigation >
< Vehicle localization using a LiDAR and an aerial image >
< Vehicle localization using a LiDAR and an aerial image >
< Radar semantic segmentation considering temporal context >
< Radar semantic segmentation considering temporal context >
< Data association of camera and radar detection >
< Data association of camera and radar detection >
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