Raffaele Brilli
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View article: Comparison of DSO and ORB‐SLAM3 in Low‐Light Environments With Auxiliary Lighting and Deep Learning Based Image Enhancing
Comparison of DSO and ORB‐SLAM3 in Low‐Light Environments With Auxiliary Lighting and Deep Learning Based Image Enhancing Open
In the evolving landscape of robotic navigation, the demand for solutions capable of operating in challenging scenarios, such as low‐light environments, is increasing. This study investigates the performance of two state‐of‐the‐art (SOTA) …
View article: Active Illumination for Visual Ego-Motion Estimation in the Dark
Active Illumination for Visual Ego-Motion Estimation in the Dark Open
Visual Odometry (VO) and Visual SLAM (V-SLAM) systems often struggle in low-light and dark environments due to the lack of robust visual features. In this paper, we propose a novel active illumination framework to enhance the performance o…
View article: Reactive collision avoidance for the teleoperation of a micro aerial vehicle
Reactive collision avoidance for the teleoperation of a micro aerial vehicle Open
Teleoperating an aerial vehicle might not be easy for naive users. A common approach to facilitate this task is to endow the robot with the autonomous capability of avoiding obstacles, while following the user command as much as possible. …
View article: Reactive collision avoidance for the teleoperation of a micro aerial vehicle
Reactive collision avoidance for the teleoperation of a micro aerial vehicle Open
Teleoperating an aerial vehicle might not be easy for naive users. A common approach to facilitate this task is to endow the robot with the autonomous capability of avoiding obstacles, while following the user command as much as possible. …