Marco Pertile
Papers
12
Total Citations
167
H-Index
7
About
Marco Pertile is a leading researcher in autonomous mobile robotics, with a primary focus on visual and LiDAR-based SLAM (Simultaneous Localization and Mapping) for planetary exploration and assistive technologies. His work centers on developing robust ego-motion estimation and environmental mapping methods for computationally constrained systems, particularly for planetary rovers operating in challenging, unknown terrains. Pertile’s major contributions include comprehensive evaluations of ROS-compatible stereo visual SLAM methods, demonstrating their feasibility on embedded platforms like the nVidia Jetson TX2—a study that has garnered 63 citations and serves as a key reference for the field. He has also pioneered 3D radiometric mapping by fusing LiDAR SLAM with thermal camera data, enabling large-scale thermal mapping for applications ranging from rover navigation to industrial monitoring. Beyond planetary robotics, Pertile has advanced assistive mobility through the RoboEYE project, a semi-autonomous gaze-driven wheelchair for users with severe motor disabilities. His work on object localization and reaching methods for wheeled mobile robots, as well as viewpoint selection for minimal uncertainty pose estimation, further underscores his impact, with multiple papers achieving over a dozen citations each.
Research Focus
Key Achievements
Top Papers
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- 33D Radiometric Mapping by Means of LiDAR SLAM and Thermal Camera Data Fusion13 citations · 2022
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- 6A comparison of monocular and stereo visual FastSLAM implementations12 citations · 2016
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- 8Camera Rig Extrinsic Calibration Using a Motion Capture System7 citations · 2018
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