Marco Carraro
Papers
6
Total Citations
67
H-Index
5
About
Marco Carraro’s research bridges the gap between cost-efficient sensing and robust autonomy, with a focus on human perception systems and autonomous underwater robotics. His early work pioneered real-time people detection and tracking using RGB-D cameras, notably developing a software library that enabled the Kinect v2 sensor to run efficiently on embedded systems like the NVidia Jetson TK1—a contribution that made smart camera networks more accessible and cost-effective. His 2017 paper on face recognition-based re-identification for camera networks (17 citations) demonstrated how online learning of faces could maintain identity across occlusions and field-of-view changes, a key challenge in multi-camera tracking. In a notable shift, Carraro’s 2024 work on opportunistic replanning for deep-ocean inspection (10 citations) addresses the extreme conditions of subsea environments, proposing an autonomous underwater architecture that balances long-term mission goals with real-time adaptability. His open-source robotic platform for ambient assisted living further showcases his commitment to practical, deployable solutions. With over 67 citations across his most-cited works, Carraro’s research consistently emphasizes real-time performance, cost efficiency, and robustness—making his contributions valuable for both camera networks and mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Cost-efficient RGB-D smart camera for people detection and tracking14 citations · 2016
- 3
- 4
- 5Robust multiple object tracking in RGB-D camera networks8 citations · 2017
- 6An Open Source Robotic Platform for Ambient Assisted Living.5 citations · 2015