Vision-based navigation and environmental representations with an omnidirectional camera
By J. Gaspar, N. Winters, José Santos-Victor. IEEE Trans. Robotics Autom., 2000
347 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/593092ed9e7419c014424adb0259383966b8519d
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
- Frank Hoffmann
- Luis-Felipe Posada
- Torsten Bertram
- Yuncheng Lu
- Krishna Kumar Narayanan
- Michael Kaess
- Gui-Song Xia
- Zhucun Xue
In Computer Vision and Pattern Recognition
- Liangpei Zhang
- Gui-Song Xia
- Francisco Bonin-Font
- Frank Hoffmann
- Gabriel Oliver
- Alberto Ortiz
- Luis-Felipe Posada
- Torsten Bertram
Citations in the corpus
- A survey on vision-based UAV navigation (2018, background): “Fisheye cameras are a variant of monocular cameras which provide wide viewing angle and are attractive for obstacle avoidance in complex environments, such as narrow and crowded space (Matsumoto et al. 1999; Gaspar, Winters, and Santos-Victor 2000).”
- Visual Navigation for Mobile Robots: A Survey (2008, background): “use [147] to map indoor structured environments and emulate insect vision-based navigation capabilities [42].”
- Robot Programming by Demonstration (2010, background): “The decreasing cost of computer vision systems in conjunction with an increase in performance render them more attractive as the primary sensor in mobile robot navigation [5, 8 ,12].”
- Incremental smoothing and mapping (2008, background): “More advanced systems were based on monocular [104], stereo [135, 103], and omnidirectional vision [55].”