Visual-Inertial Navigation for a Camera-Equipped 25g Nano-Quadrotor
By O. Dunkley, Jakob J. Engel, Jürgen Sturm, Daniel Cremers. 2014
57 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Daniele Palossi
- Antonio Loquercio
- Davide Scaramuzza
- Rui Wang
- Daniel Cremers
- Francesco Conti
- Luca Benini
- Eric Flamand
Citations in the corpus
- A 64-mW DNN-Based Visual Navigation Engine for Autonomous Nano-Drones (2018, background): “[21] developed a visual-inertial simultaneous localization and mapping (SLAM) algorithm, for a 25 g nano quadrotor.”
- Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras (2017, background): “An example of a reconstructed scene is shown at bottom. far more versatile – the smaller size and weight, for example, enable applications such as visual-inertial autonomous navigation of nanocopters [6].”
- Local histogram matching for efficient optical flow computation applied to velocity estimation on pocket drones (2016, methodology): “have flown a 25 gram helicopter with visual-inertial SLAM for stabilization, for which they use an external laptop to calculate its position by visual odometry [10].”
- Efficient Optical Flow and Stereo Vision for Velocity Estimation and Obstacle Avoidance on an Autonomous Pocket Drone (2016, background): “1), are ideal for maneuvering through very narrow spaces, as often occurs in indoor environments.”
- Target following on nano-scale Unmanned Aerial Vehicles (2017, background): “In nano-size UAV, the state-of-the-art is represented by solutions that either perform very basic functionality like hovering [2], [6] or offload computation to some external base-station [5], [14].”