Challenging data sets for point cloud registration algorithms

Article English OPEN
Pomerleau, François; Liu, Ming; Colas, Francis; Siegwart, Roland Y.;
(2012)
  • Publisher: Sage
  • Journal: issn: 0278-3649
  • Related identifiers: doi: 10.1177/0278364912458814, doi: 10.3929/ethz-a-010148020
  • Subject: Field and service robotics | Range sensing | Data processing, computer science | Field robots | Search and rescue robots; Computer vision; Range sensing; Sensing and perception; Field robots; Field and service robotics | Computer Vision | Sensing and Perception | [ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO] | [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO] | Search and rescue robots
    • ddc: ddc:004

International audience; The number of registration solutions in the literature has bloomed recently. The iterative closest point, for example, could be considered as the backbone of many laser-based localization and mapping systems. Although they are widely used, it is ... View more
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