2020 International Conference on Unmanned Aircraft Systems (ICUAS) 2020
DOI: 10.1109/icuas48674.2020.9213883
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Cited by 9 publications
(8 citation statements)
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“…There are also robotics competitions that are important tools to push the state of the art in a specific field, for example in the area of drones like MBZIRC and IARC [ 1 , 56 ]. HRATC contributes in the area of humanitarian demining and DARPA in autonomous vehicles [ 35 ].…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…There are also robotics competitions that are important tools to push the state of the art in a specific field, for example in the area of drones like MBZIRC and IARC [ 1 , 56 ]. HRATC contributes in the area of humanitarian demining and DARPA in autonomous vehicles [ 35 ].…”
Section: Discussionmentioning
confidence: 99%
“…The main technologies used by the robotics competitions found in the papers were methods like AI solutions, machine learning, computer vision, simultaneous localization and mapping (SLAM), image processing, speech recognition, object recognition, gesture recognition, extended Kalman filters (EKF), real-time control and 3D printing. It was also found that there were a lot of software and robot simulators like ROS, HIL, SimTwo, Gazebo, TeamBots, USARSim, OpenCV, TensorFlow, LabView and also components like sensors, actuators, cameras, microcontrollers and LEGO Mindstorms kits [ 1 , 6 , 8 , 19 , 22 , 24 , 35 , 40 , 63 , 70 , 77 , 79 ].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In search for a target across large spaces, the University of Bonn's MBZIRC 2020 Challenge 1 (Beul et al, 2020) balloon search strategy composed of a coarse arena-length (100m) lawnmower path repeated multiple times if necessary (similar to (Garcia et al, 2020), (Castaño et al, 2019), (Bähnemann et al, 2019), and (Spurný et al, 2019) which use this scheme but apply various Dubins path and multi-robot optimizations). However, they calculate and store all visible balloons' 3-D locations based on pixel size and their known physical size.…”
Section: Related Workmentioning
confidence: 99%
“…Deep learning inference onboard these platforms is restricted to smaller architectures or optimized methods, such as single-shot detection using MobileNet (Howard et al, 2017) or TinyYOLOv3 (Redmon and Farhadi, 2018). (Beul et al, 2020) is interested in long-range balloon localization accuracy and used tensor processing unit (TPU) accelerated inference paired with a custom circle fitter to estimate the target contour, whereas (Garcia et al, 2020) used hue, saturation, value (HSV) filtering and detected contours in a depth image. For colored plate detection in MBZIRC 2017 Challenge 3, (Bähnemann et al, 2019) used a hand-tunable blob detector with a feature classifier which they tuned day-of, (Castaño et al, 2019) used HSV-space segmentation and clustering, and (Spurný et al, 2019) used an ellipse detection algorithm with an auto-calibrated Gaussian mixture model (GMM) for color segmentation.…”
Section: Related Workmentioning
confidence: 99%