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  • ...quisition and processing of electroencephalography (EEG) data to control a drone using a Brain-Machine Interface (BMI) with motor imagery (MI). * Potentially control a drone
    5 KB (669 words) - 15:27, 23 October 2023
  • <!-- On-Device Federated Continual Learning on Nano-Drone Swarms --> ...Perform in-field evaluation of the FCL algorithm considering a simple, two-drone system. Intermediate evaluation of CL could be beneficial for this task. <
    10 KB (1,377 words) - 00:49, 29 February 2024

Page text matches

  • [[File:ambulanceDrone.jpg|thumb|Prototype of an ambulance drone. Source: http://alecmomont.com/projects/dronesforgood/]]
    2 KB (286 words) - 18:15, 17 December 2015
  • ...al sources of information can be evaluated as well (e.g., videos shot by a drone, 3D terrain models, etc.).
    2 KB (352 words) - 11:51, 21 August 2018
  • ...MCU [5] on-board of the UAV, extending the computational capability of the drone, paving the way for the next-generation autonomous UAVs. * 1. HW design: starting from the drone's schematics, design and develop the PULP-shield with the two required SPI
    6 KB (875 words) - 11:06, 23 February 2018
  • ...ough the latter one still sounds like science fiction today, in fact first drone taxis are being planned to operate in Dubai later this year. The novelty of
    3 KB (462 words) - 13:54, 13 November 2020
  • [[File:Drone gps cellular.png|300px|thumb|A drone taxi combines the data from a satellite and a cellular basestation.]] ...these devices often include data connectivity and location information. A drone may, for instance, use both GPS and cellular positioning to increase the ac
    3 KB (421 words) - 09:38, 14 September 2018
  • ...PULP-Shield PCB developed at IIS by our student Hanna Müller. C) Our nano-drone prototype based on the ''CrazyFlie 2.0'' coupled with the PULP-Shield.]] ===a. Pico-size Quadrotor (Fünfliber drone)===
    14 KB (2,077 words) - 15:02, 13 June 2022
  • *WATCH OUR DEMO: EEG-HEADBAND CONTROLLING A DRONE: https://www.youtube.com/watch?v=3-DysFptdRI
    17 KB (2,419 words) - 20:09, 10 March 2024
  • ...quisition and processing of electroencephalography (EEG) data to control a drone using a Brain-Machine Interface (BMI) with motor imagery (MI). * Potentially control a drone
    5 KB (669 words) - 15:27, 23 October 2023
  • 2.0 nano-drone[1][2][3]. ...e results of the on-board sensors to compute the position and attitude the drone is in. We want to use an extended Kalman filter (eKF), a non-linear estimat
    8 KB (1,117 words) - 22:17, 26 January 2022
  • ...yment of all sensors and computational modules aboard a Crazyflie 2.1 nano-drone [4], equipped with a powerful AI-deck [5] companion board that enables the
    4 KB (571 words) - 12:11, 27 January 2022
  • ...ntral place in surveillance tasks. The surveillance of air space to detect drone activity, the surveillance of streets to detect pedestrian or vehicular act
    2 KB (349 words) - 15:53, 11 October 2021
  • ...t integrated solution that represents a negligible payload even for a nano-drone. Indeed, the nature ...drives the drone to a target point based on a local occupancy map that the drone can construct using the depth information.
    4 KB (604 words) - 14:07, 10 March 2022
  • [1] Y. Dan et al., “LTE-Based Passive Radar for Drone Detection and its Experimental Results,” Journal of Engineering, Nov. 201
    5 KB (564 words) - 16:12, 9 February 2022
  • ...t integrated solution that represents a negligible payload even for a nano-drone. Indeed, the nature ...algorithm as this is the very first time we attempt mapping onboard a nano-drone. Last semester, a student designed the hardware for this task - an extensio
    3 KB (507 words) - 15:09, 11 February 2022
  • ...2]. This shallow convolutional neural network (CNN) runs aboard a 27-grams drone being fed with images and outputting a steering angle (regression problem) More in the details, the nano-drone platform is the Bitcraze Crazyflie 2.1 [4] extended by a powerful multicore
    4 KB (550 words) - 21:25, 15 February 2022
  • ...es. This shallow convolutional neural network (CNN) runs aboard a 27-grams drone being fed with images and outputting a steering angle (regression problem) ...-level PyTorch models into the final C implementation deployed on the nano-drone.
    4 KB (489 words) - 14:33, 17 May 2022
  • ...l information to be processed directly onboard a resource-constrained nano-drone. ...hardware design of a companion board to host this SoC aboard a 10-cm nano-drone [5].
    4 KB (505 words) - 18:25, 26 July 2022
  • [[File:Dvs_drones.png|200px|thumb|right|Example of Drone Detection, comparing DVS and RGB images]]
    4 KB (523 words) - 10:55, 5 December 2023
  • <!-- On-Device Federated Continual Learning on Nano-Drone Swarms --> ...Perform in-field evaluation of the FCL algorithm considering a simple, two-drone system. Intermediate evaluation of CL could be beneficial for this task. <
    10 KB (1,377 words) - 00:49, 29 February 2024
  • <!-- On-Device Federated Continual Learning on Nano-Drone Swarms -->
    11 KB (1,500 words) - 01:10, 29 February 2024

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