SK
S.J.F. Knoops
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1
Event based vision has recently attracted a lot of attention. High data rates and robustness to lighting variations make it a valid option for indoor navigation. The previously developed FAITH algorithm calculates a possible Focus of Expansion
area based on negative half-planes generated by optic flow and by employing a RANSAC search, a fast and reliable Focus of Expansion estimation can be performed. This paper builds upon this algorithm by verifying and validating the
algorithm, improving the derotation capabilities and optimising for computational efficiency. Compared to earlier work, a higher accuracy and an increased robustness are realised by improving the data handling. Simulator results show accuracies in the range of 2 to 5 degrees. Online testing on a drone shows accuracies of up to 5 degrees while obtaining calculation times of only
2 · 10−3s and rates of 140Hz. Comparing the method to an alternative shows higher accuracy and better suitability to normal flow. Further research may contribute to more stable results and explore different hardware solutions. ...
area based on negative half-planes generated by optic flow and by employing a RANSAC search, a fast and reliable Focus of Expansion estimation can be performed. This paper builds upon this algorithm by verifying and validating the
algorithm, improving the derotation capabilities and optimising for computational efficiency. Compared to earlier work, a higher accuracy and an increased robustness are realised by improving the data handling. Simulator results show accuracies in the range of 2 to 5 degrees. Online testing on a drone shows accuracies of up to 5 degrees while obtaining calculation times of only
2 · 10−3s and rates of 140Hz. Comparing the method to an alternative shows higher accuracy and better suitability to normal flow. Further research may contribute to more stable results and explore different hardware solutions. ...
Event based vision has recently attracted a lot of attention. High data rates and robustness to lighting variations make it a valid option for indoor navigation. The previously developed FAITH algorithm calculates a possible Focus of Expansion
area based on negative half-planes generated by optic flow and by employing a RANSAC search, a fast and reliable Focus of Expansion estimation can be performed. This paper builds upon this algorithm by verifying and validating the
algorithm, improving the derotation capabilities and optimising for computational efficiency. Compared to earlier work, a higher accuracy and an increased robustness are realised by improving the data handling. Simulator results show accuracies in the range of 2 to 5 degrees. Online testing on a drone shows accuracies of up to 5 degrees while obtaining calculation times of only
2 · 10−3s and rates of 140Hz. Comparing the method to an alternative shows higher accuracy and better suitability to normal flow. Further research may contribute to more stable results and explore different hardware solutions.
area based on negative half-planes generated by optic flow and by employing a RANSAC search, a fast and reliable Focus of Expansion estimation can be performed. This paper builds upon this algorithm by verifying and validating the
algorithm, improving the derotation capabilities and optimising for computational efficiency. Compared to earlier work, a higher accuracy and an increased robustness are realised by improving the data handling. Simulator results show accuracies in the range of 2 to 5 degrees. Online testing on a drone shows accuracies of up to 5 degrees while obtaining calculation times of only
2 · 10−3s and rates of 140Hz. Comparing the method to an alternative shows higher accuracy and better suitability to normal flow. Further research may contribute to more stable results and explore different hardware solutions.
Bachelor thesis
(2018)
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Z.T. Angyal, K. den Hertog, A. Kasteel, S.J.F. Knoops, L. Losch, V.A. Lucas, B.K.W. Martens, A.B. de Roos, B.H.L. van den Abbeele, V. Pallichadath, H. Lan, E.J.O. Schrama
Piazzi is a mission to the 1989 UQ asteroid, with the goal of collecting a sample and returning it to Earth. This will be accomplished by sending a spacecraft to the asteroid, which will consist of three separate spacecraft. Firstly the orbiter, which houses the instruments needed to observe and map the asteroid, and the primary propulsion and communications systems. Then two spacecraft will detach from the orbiter, and each collect a sample in a distinct manner. One, ACSAL, will land on the asteroid, and collect a core sample using a drill. The other, SASH, will hover above the surface, and collect a regolith sample. Both ACSAL and SASH will return to Earth individually, shoot off a reentry capsule with the sample and burn up in the atmosphere themselves.
...
Piazzi is a mission to the 1989 UQ asteroid, with the goal of collecting a sample and returning it to Earth. This will be accomplished by sending a spacecraft to the asteroid, which will consist of three separate spacecraft. Firstly the orbiter, which houses the instruments needed to observe and map the asteroid, and the primary propulsion and communications systems. Then two spacecraft will detach from the orbiter, and each collect a sample in a distinct manner. One, ACSAL, will land on the asteroid, and collect a core sample using a drill. The other, SASH, will hover above the surface, and collect a regolith sample. Both ACSAL and SASH will return to Earth individually, shoot off a reentry capsule with the sample and burn up in the atmosphere themselves.