State Estimation for Autonomous Flight in Cluttered Environments

2007 ◽  
Vol 30 (5) ◽  
pp. 1414-1426 ◽  
Author(s):  
Jack W. Langelaan
Keyword(s):  
State Estimation ◽  
Cluttered Environments ◽  
Autonomous Flight

scholarly journals Fast, autonomous flight in GPS-denied and cluttered environments

2017 ◽  
Vol 35 (1) ◽  
pp. 101-120 ◽  
Author(s):  
Kartik Mohta ◽  
Michael Watterson ◽  
Yash Mulgaonkar ◽  
Sikang Liu ◽  
Chao Qu ◽  
...  
Keyword(s):  
Cluttered Environments ◽  
Autonomous Flight

Challenges for Safe Autonomous Flight

10.29007/qlsr ◽  
2018 ◽  
Author(s):  
Sebastian Scherer
Keyword(s):  
Motion Planning ◽  
Semantic Information ◽  
Steering System ◽  
Planning System ◽  
Great Promise ◽  
Cluttered Environments ◽  
Autonomous Flight ◽  
Cargo Delivery ◽  
Wide Range

Autonomy holds a great promise by improving the applications, safety, and efficiency of flight. If little operator input is necessary, unmanned rotorcraft have a wide range of applications ranging from cargo delivery to inspection. Currently unmanned rotorcraft are underutilized because they either have to fly on preplanned missions at high altitude or require careful teleoperation. A capable autonomous rotorcraft will have to react quickly to previously unknown obstacles, land at unprepared sites, and fly with semantic information to enable long-term autonomy in cluttered environments.In this talk we give an overview of how autonomy systems are currently designed and how pushing the performance and safety of these systems challenges current verification paradigms. In particular we will address how a supervisory layer in the motion planning system can improve safety, a sensor steering system enables us to optimize coverage for safe trajectories, and how semantic information can help us guide the rotorcraft.

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