Coverage of Known Spaces: The Boustrophedon Cellular Decomposition
By Howie Choset. Auton. Robots, 2000
509 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/c33d040fd1c595e2442876db2c5dd28003beefbd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- S.X. Yang
- Nicholas A. Roy
- Guilherme A. S. Pereira
- M. Carreras
- Chaomin Luo
- Enric Galceran
- Luciano C. A. Pimenta
- Thomas Kollar
In Biomedical Engineering
- S.X. Yang
- Nicholas A. Roy
- Guilherme A. S. Pereira
- M. Carreras
- Chaomin Luo
- Enric Galceran
- Luciano C. A. Pimenta
- Thomas Kollar
In Computer Vision and Pattern Recognition
- Thomas Kollar
- Nicholas A. Roy
- S.X. Yang
- Guilherme A. S. Pereira
- M. Carreras
- Chaomin Luo
- Enric Galceran
- Luciano C. A. Pimenta
Citations in the corpus
- Multi-UAV Routing for Area Coverage and Remote Sensing with Minimum Time (2015, methodology): “Xu et al. [12] presented an area coverage strategy that combines the ideas of the exact cell decomposition of Choset [6] with the direction of coverage optimization suitable for single fixed-wing UAV operation.”
- A survey on coverage path planning for robotics (2013, methodology): “For simplicity, we will describe the Morse-based boustrophedon decomposition [Choset, 2000], which happens in the plane.”
- A neural network approach to complete coverage path planning (2004, background): “Choset [14] proposed a novel boustrophedon cellular decomposition approach by breaking down the workspace, which allows the robot to cover each cell like “the way of the ox.”
- Trajectory Optimization using Reinforcement Learning for Map Exploration (2008, background): “Some attention has already been paid to the problem of completeness during automatic data collection, or coverage ( Choset 2000; Acar et al. 2003), especially in the sensor network and computational geometry communities.”