2018 26th Mediterranean Conference on Control and Automation (MED) 2018
DOI: 10.1109/med.2018.8442759
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CrazyS: A Software-In-The-Loop Platform for the Crazyflie 2.0 Nano-Quadcopter

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Cited by 34 publications
(10 citation statements)
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“…There are also platforms from ASL (created by R. Siegwart's group at ETH) [75] and FLA (a joint platform from GRASP and U-Zurich) [52] that have relatively high weights and low agility. On the other hand, the relatively small Crazyflie [32,78,81] platform does not allow for sufficient onboard computation or sensing. Finally, the platforms from S. Karaman's group from MIT [5] and GRASP (created by V. Kumar's group from UPenn) [47] do not provide open-source software and hardware.…”
Section: Contributions Beyond the State-of-the-artmentioning
confidence: 99%
“…There are also platforms from ASL (created by R. Siegwart's group at ETH) [75] and FLA (a joint platform from GRASP and U-Zurich) [52] that have relatively high weights and low agility. On the other hand, the relatively small Crazyflie [32,78,81] platform does not allow for sufficient onboard computation or sensing. Finally, the platforms from S. Karaman's group from MIT [5] and GRASP (created by V. Kumar's group from UPenn) [47] do not provide open-source software and hardware.…”
Section: Contributions Beyond the State-of-the-artmentioning
confidence: 99%
“…La señal de control que recibe el dron es un pulso PWM transmitido en una señal de 16 bits, por lo que el rango de la señal de control está comprendido entre [0, 65536]. Los parámetros empleados son una combinación extraída de [14,22]. Para atenuar el ruido de alta frecuencia se ha implementado un filtro paso bajo en el término derivativo del PID.…”
Section: Arquitectura De Controlunclassified
“…Moreover the flight control system architecture is presented together with the on-board sensors model. Contents of this section are inspired by our previous work [42] but are here reviewed and explored in detail.…”
Section: Crazyflie 20 Nano-quadcoptermentioning
confidence: 99%
“…With the boom of motion sensing devices, such as the Microsoft Kinect or the Asus Xtion, RGBD cameras became easily available for roboticists worldwide, and several approaches for 3D mapping using these cameras were presented [42,43]. These works provide full 3D mapping systems, estimating the camera's motion through spacial features and pose optimization, thus generating occupancy voxel grid models that are globally consistent.…”
Section: Introductionmentioning
confidence: 99%