The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Flying Fast and Low Among Obstacles: Methodology and Experiments
Open accessAbstract
Safe autonomous flight is essential for widespread acceptance of aircraft that must fly close to the ground. We have developed a method of collision avoidance that can be used in three dimensions in much the same way as autonomous ground vehicles that navigate over unexplored terrain. Safe navigation is accomplished by a combination of online environmental sensing, path planning and collision avoidance. Here we outline our methodology and report results with an autonomous helicopter that operates at low elevations in uncharted environments, some of which are densely populated with obstacles such as buildings, trees and wires. We have recently completed over 700 successful runs in which the helicopter traveled between coarsely specified waypoints separated by hundreds of meters, at speeds of up to 10 m s—1 at elevations of 5—11 m above ground level. The helicopter safely avoids large objects such as buildings and trees but also wires as thin as 6 mm. We believe this represents the first time an air vehicle has traveled this fast so close to obstacles. The collision avoidance method learns to avoid obstacles by observing the performance of a human operator.
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Cites
Multiple View Geometry in Computer Vision
Hartley, R., & Zisserman, A. (2004) · doi:10.1017/cbo9780511811685 · Cited by 21,070
Real-Time Obstacle Avoidance for Manipulators and Mobile Robots
Khatib, O. (1986) · The International Journal of Robotics Research · doi:10.1177/027836498600500106 · Cited by 7,894
Cited by
Survey of advances in guidance, navigation, and control of unmanned rotorcraft systems
Kendoul, F. (2012) · Journal of Field Robotics · doi:10.1002/rob.20414 · Cited by 663
A Fully Autonomous Indoor Quadrotor
Grzonka, S., Grisetti, G., & Burgard, W. (2012) · IEEE Transactions on Robotics · doi:10.1109/tro.2011.2162999 · Cited by 386
BADGR: An Autonomous Self-Supervised Learning-Based Navigation System
Kahn, G., Abbeel, P., & Levine, S. (2021) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2021.3057023 · Cited by 284
Obstacle Detection and Collision Avoidance for a UAV With Complementary Low-Cost Sensors
Gageik, N., Benz, P., & Montenegro, S. (2015) · IEEE Access · doi:10.1109/access.2015.2432455 · Cited by 265
Metadata
- Authors
- Scherer, S., Singh, S., Chamberlain, L., & Elgersma, M.
- Venue
- The International Journal of Robotics Research
- Publisher
- SAGE Publications
- Published
- 2008-05
- Volume
- 27
- Issue
- 5
- Pages
- 549-574
- ISSN
- 0278-3649 (ISSN-L)
- 1741-3176
- OpenAlex
- W2019586060
- Cited by
- 189
- References
- 2
- FWCI
- 21.48
- Type
- journal article
- Language
- en
- Open access
- green
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