The three-dimensional normal-distributions transform : an efficient representation for registration, surface analysis, and loop detection
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Summary
This dissertation extends the original two-dimensional NDT registration algorithm of Biber and Straser to 3D and introduces a number of improvements and proposes to use a combination of local visual features and Colour-NDT for robust registration of coloured 3D scans.
- Type
- article
- Published
- 2009-01-01
- Cited by
- 480
- References
- 107
- Access
- Open access
- OpenAlex
- https://openalex.org/W1650975994
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:14692452
Keywords
Nondestructive testing, Artificial intelligence, Representation (politics), Computer vision, Computer science
References
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- 计量经济分析 = Econometric analysis
- Vision Aided 3D Laser Based Registration
- SIFT, SURF and Seasons: Long-term Outdoor Localization Using Local Features
- Pattern classification, 2nd Edition
- The Measurement, Instrumentation and Sensors Handbook
- Sensors for Mobile Robots: Theory and Application
- The normal distributions transform: a new approach to laser scan matching
- Fast and accurate shape-based registration
- Rotations, Quaternions, and Double Groups
- Robotic mapping: a survey
- Efficient memory-based learning for robot control
- Robot Pose Estimation in Unknown Environments by Matching 2D Range Scans
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- Compliance Control of Robot Manipulator for Safe Physical Human Robot Interaction
- Comparative Evaluation of Range Sensor Accuracy in Indoor Environments
- A Generalized 2D and 3D Multi-Sensor Data Integration Approach based on Signed Distance Functions for Multi-Modal Robotic Mapping
- Modeling time-series with deep networks
- A combat survivability model for evaluating air mission routes in future decision support systems
- Statistical gas distribution modelling for mobile robot applications
- Fast LIDAR localization using multiresolution Gaussian mixture maps
- Capturing semi-automated decision making: the methodology of CASADEMA
- Evaluating the performance of TEWA systems
- Evaluating credal set theory as a belief framework in high-level information fusion for automated decision-making
- Robust and accurate localization system for mobile manipulators in cluttered environments
- Planar Segments Based Three-dimensional Robotic Mapping in Outdoor Environments
- Beyond points: Evaluating recent 3D scan-matching algorithms
- Enhancing genetic programming for predictive modeling
- Point cloud registration algorithm based on NDT with variable size voxel
- A domain-specific language for protocol stack implementation in embedded systems
- A Small and Lightweight Autonomous Laser Mapping System without GPS
- 3D Multi-Layered Normal Distribution Transform for Fast and Long Range Scan Matching
- Improving point-cloud accuracy from a moving platform in field operations
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