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Autonomous Aerial Robot for High-Speed Search and Intercept Applications
Our first contribution is the design of the aerial robot at an actuation and sensory level consisting of a novel gripper design with additional sensors enabling the robot to grasp objects at high speeds.
Survey of Bayesian Networks Applications to Intelligent Autonomous Vehicles
This article reviews the applications of Bayesian Networks to Intelligent Autonomous Vehicles (IAV) from the decision making point of view, which represents the final step for fully Autonomous Vehicles (currently under discussion).
Towards Multi-Object Detection and Tracking in Urban Scenario under Uncertainties
Urban-oriented autonomous vehicles require a reliable perception technology to tackle the high amount of uncertainties.
Standard methods for inexpensive pollen loads authentication by means of computer vision and machine learning
We present a complete methodology for authenticating local bee pollen against fraudulent samples using image processing and machine learning techniques.
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