A constant-time SLAM back-end in the continuum between global mapping and submapping: application to visual stereo SLAM
By Francisco Angel Moreno, José-Luis Blanco, Javier González Jiménez. 2016
18 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition
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In Aerospace Engineering
In Computer Vision and Pattern Recognition
Citations in the corpus
- Deep-learning in Mobile Robotics - from Perception to Control Systems: A Survey on Why and Why not (2016, methodology): “Classical methods extract information from the raw sensor readings based on artificially designed complex features ( e.g. , SIFT (Lowe, 1999, 2004; Liu et al., 2014), SURF (Bay et al., 2006, 2008), ORB (Rublee et al., 2011; Moreno et al., 2015; Mur-Artal et al., 2015)).”