2018 International Conference on Robots &Amp; Intelligent System (ICRIS) 2018
DOI: 10.1109/icris.2018.00052
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Vision Odometer Based on RGB-D Camera

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Cited by 4 publications
(1 citation statement)
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“…The simplest such approach, dubbed Iterative Closest Point (ICP), simply matches each individual point between two scans [5]. Early ICP algorithms are quite computationally intensive because of the large number of possible correspondences, so ICP variants have been developed that accelerate processing by limiting correspondence to a local neighborhood [6], by down-sampling the number of points used in each scan [7,8], or by improving initialization [9,10]. Other feature-based methods identify and correspond edges [11,12], planes [13], or regions of similar LIDAR reflectivity [14] between scans.…”
Section: Introductionmentioning
confidence: 99%
“…The simplest such approach, dubbed Iterative Closest Point (ICP), simply matches each individual point between two scans [5]. Early ICP algorithms are quite computationally intensive because of the large number of possible correspondences, so ICP variants have been developed that accelerate processing by limiting correspondence to a local neighborhood [6], by down-sampling the number of points used in each scan [7,8], or by improving initialization [9,10]. Other feature-based methods identify and correspond edges [11,12], planes [13], or regions of similar LIDAR reflectivity [14] between scans.…”
Section: Introductionmentioning
confidence: 99%