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Attentive systems: A survey
Visual saliency analysis detects salient regions/objects that attract human attention in
natural scenes. It has attracted intensive research in different fields such as computer vision …
natural scenes. It has attracted intensive research in different fields such as computer vision …
Learning monocular reactive uav control in cluttered natural environments
S Ross, N Melik-Barkhudarov… - … on robotics and …, 2013 - ieeexplore.ieee.org
Autonomous navigation for large Unmanned Aerial Vehicles (UAVs) is fairly straight-forward,
as expensive sensors and monitoring devices can be employed. In contrast, obstacle …
as expensive sensors and monitoring devices can be employed. In contrast, obstacle …
Clio: Real-Time Task-Driven Open-Set 3D Scene Graphs
Modern tools for class-agnostic image segmentation (eg, SegmentAnything) and open-set
semantic understanding (eg, CLIP) provide unprecedented opportunities for robot …
semantic understanding (eg, CLIP) provide unprecedented opportunities for robot …
First results in detecting and avoiding frontal obstacles from a monocular camera for micro unmanned aerial vehicles
Obstacle avoidance is desirable for lightweight micro aerial vehicles and is a challenging
problem since the payload constraints only permit monocular cameras and obstacles cannot …
problem since the payload constraints only permit monocular cameras and obstacles cannot …
3D tree dimensionality assessment using photogrammetry and small unmanned aerial vehicles
Detailed, precise, three-dimensional (3D) representations of individual trees are a
prerequisite for an accurate assessment of tree competition, growth, and morphological …
prerequisite for an accurate assessment of tree competition, growth, and morphological …
Embedded, real-time UAV control for improved, image-based 3D scene reconstruction
Abstract Unmanned Aerial Vehicles (UAVs) are already broadly employed for 3D modeling
of large objects such as trees and monuments via photogrammetry. The usual workflow …
of large objects such as trees and monuments via photogrammetry. The usual workflow …
Reclaiming saliency: Rhythmic precision-modulated action and perception
Computational models of visual attention in artificial intelligence and robotics have been
inspired by the concept of a saliency map. These models account for the mutual information …
inspired by the concept of a saliency map. These models account for the mutual information …
Attention-based active visual search for mobile robots
We present an active visual search model for finding objects in unknown environments. The
proposed algorithm guides the robot towards the sought object using the relevant stimuli …
proposed algorithm guides the robot towards the sought object using the relevant stimuli …
Vision-based obstacle avoidance for small drone using monocular camera
This paper proposes an obstacle avoidance technique for small size drones by using a
monocular camera. This method can assist the drone for doing their mission and avoid …
monocular camera. This method can assist the drone for doing their mission and avoid …
Smiler: Saliency model implementation library for experimental research
The Saliency Model Implementation Library for Experimental Research (SMILER) is a new
software package which provides an open, standardized, and extensible framework for …
software package which provides an open, standardized, and extensible framework for …