2018 IEEE International Conference on Robotics and Automation (ICRA) 2018
DOI: 10.1109/icra.2018.8460838
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Differential Flatness Transformations for Aggressive Quadrotor Flight

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Cited by 22 publications
(18 citation statements)
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“…Dr. Scaramuzza received an SNSF-ERC Starting Grant, the IEEE Robotics and Automation Early Career Award, and a Google Research Award for his research contributions. 16 Fig. 16: Visualization of network attention using the Grad-CAM technique [55].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Dr. Scaramuzza received an SNSF-ERC Starting Grant, the IEEE Robotics and Automation Early Career Award, and a Google Research Award for his research contributions. 16 Fig. 16: Visualization of network attention using the Grad-CAM technique [55].…”
Section: Discussionmentioning
confidence: 99%
“…From the control perspective, plenty of work has been done to enable high-speed navigation, both in the context of autonomous drones [7], [15], [16] and autonomous cars [17]- [20]. However, the inherent difficulties of state estimation make these methods difficult to adapt for small, agile quadrotors that must rely solely on onboard sensing and computing.…”
Section: Related Workmentioning
confidence: 99%
“…The differential flatness property of multirotors has been widely exploited for accurate trajectory tracking [11,17,28,12,34,30]. Differential flatness of the multirotor subject to linear drag was shown in Faessler et al [11].…”
Section: B Related Workmentioning
confidence: 99%
“…NASA's JPL lab report in their research results that their drone can finish their race track in a similar amount of time as a professional pilot. In their research, a visual‐inertial localization and mapping system is used for navigation and an aggressive trajectory connecting waypoints is generated to finish the track (Morrell et al, 2018). Gao et al (2019) come up with a teach‐and‐repeat solution for drone racing.…”
Section: Introductionmentioning
confidence: 99%