A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Object modelling by registration of multiple range images
Image and Vision Computing - Special issue: range image understanding
Simultaneous registration of multiple corresponding point sets
Computer Vision and Image Understanding
Outdoor Visual Position Estimation for Planetary Rovers
Autonomous Robots
Estimation with Applications to Tracking and Navigation
Estimation with Applications to Tracking and Navigation
3DIM '05 Proceedings of the Fifth International Conference on 3-D Digital Imaging and Modeling
The Graph SLAM Algorithm with Applications to Large-Scale Mapping of Urban Structures
International Journal of Robotics Research
3D Terrain Modeling for Rover Localization and Navigation
CRV '06 Proceedings of the The 3rd Canadian Conference on Computer and Robot Vision
Rock modeling and matching for autonomous long-range Mars rover localization: Research Articles
Journal of Field Robotics - Special Issue on Space Robotics
Scan registration for autonomous mining vehicles using 3D-NDT: Research Articles
Journal of Field Robotics - Special Issue on Mining Robotics
Globally consistent 3D mapping with scan matching
Robotics and Autonomous Systems
Active matching for visual tracking
Robotics and Autonomous Systems
Segmented SLAM in three-dimensional environments
Journal of Field Robotics - Three-Dimensional Mapping, Part 3
Journal of Field Robotics - Three-Dimensional Mapping, Part 3
Journal of Field Robotics - Three-Dimensional Mapping, Part 3
Long-range rover localization by matching LIDAR scans to orbital elevation maps
Journal of Field Robotics
Vast-scale Outdoor Navigation Using Adaptive Relative Bundle Adjustment
International Journal of Robotics Research
Visual teach and repeat for long-range rover autonomy
Journal of Field Robotics - Visual Mapping and Navigation Outdoors
Sliding window filter with application to planetary landing
Journal of Field Robotics - Visual Mapping and Navigation Outdoors
Multiview registration for large data sets
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
FrameSLAM: From Bundle Adjustment to Real-Time Visual Mapping
IEEE Transactions on Robotics
Point fingerprint: a new 3-D object representation scheme
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Comparing ICP variants on real-world data sets
Autonomous Robots
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In this paper, we present a robust framework suitable for conducting three-dimensional simultaneous localization and mapping (3D SLAM) in a planetary work site environment. Operation in a planetary environment imposes sensing restrictions, as well as challenges due to the rugged terrain. Utilizing a laser rangefinder mounted on a rover platform, we have demonstrated an approach that is able to create globally consistent maps of natural, unstructured 3D terrain. The framework presented in this paper utilizes a sparse-feature-based approach and conducts data association using a combination of feature constellations and dense data. Because of feature scarcity, odometry measurements are also incorporated to provide additional information in feature-poor regions. To maintain global consistency, these measurements are resolved using a batch alignment algorithm, which is reinforced with heterogeneous outlier rejection to improve its robustness to outliers in either measurement type (i.e., laser or odometry). Finally, a map is created from the alignment estimates and the dense data. Extensive validation of the framework is provided using data gathered at two different planetary analogue facilities, which consist of 50 and 102 3D scans, respectively. At these sites, root-mean-squared mapping errors of 4.3 and 8.9 cm were achieved. Relative metrics are utilized for localization accuracy and map quality, which facilitate detailed analysis of the performance, including failure modes and possible future improvements. © 2012 Wiley Periodicals, Inc. © 2012 Wiley Periodicals, Inc.