Semantically-Aware Strategies for Stereo-Visual Robotic Obstacle Avoidance
Published in International Conference on Robotics and Automation, 2021
Using semantic information about obstacles for more effective navigation.
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Publications
Towards Robust Visual Diver Detection Onboard Autonomous Underwater Robots: Assessing the Effects of Models and Data
Published in Under Review, 2021
In this paper, we present our approach for addressing robustness and correctness challenges in applying deep models to our particular vision problem: diver detection onboard autonomous underwater vehicles (AUVs).
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Realtime Multi-Diver Tracking and Re-identification for Underwater Human-Robot Collaboration
Published in International Conference on Robotics and Automation, 2020
Using tracking by detection to uniquely identify divers in real time.
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