Mobile Robot Localisation and Mapping in Extensive Outdoor Environments
By Tim Bailey. 2002
337 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/b9fc38a6ce41c8709377f6a5974a66b59de9487c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Sebastian Thrun
- Tim Bailey
- Wolfram Burgard
- Dieter Fox
- Sergey Levine
- Yoshua Bengio
- Niko Sünderhauf
- H. F. Durrant-Whyte
Citations in the corpus
- Visual Place Recognition: A Survey (2016, background): “Andrade-Cetto and Sanfeliu [222] required that features be trustworthy and reliable as well as up-to-date in order to be retained , while Bailey [221] considered a usefulness criteria based on visibility—a feature that can be blocked by other elements of the environment is liable to suffer from occl”
- Simultaneous localization and mapping (SLAM): part II (2006, methodology): “The two existing forms of batch gating are the joint compatibility branch and bound (JCBB) [37] method, which is a tree-search, and combined constraint data association (CCDA) [2], which is a graph search (see Figure 4).”
- Simultaneous Localization and Mapping: A Survey of Current Trends in Autonomous Driving (2017, unknown): “The constant-time SLAM [28] and the Network Coupled Features Maps [29] work in a similar fashion except that landmarks common between submaps are kept to ease the change from one to another but these methods ignore correlated data.”
- Consistency of the EKF-SLAM Algorithm (2006, methodology): “For very large-scale maps, submap methods, such as network coupled feature maps (NCFM) [1] and ATLAS [3], are currently the only solutions that avoid data-fusion with large heading variance.”
- Simultaneous Localization and Mapping with Sparse Extended Information Filters (2004, background): “Recently, several researchers have developed hierarchical techniques that decompose maps into collections of smaller, more manageable submaps (Leonard and Feder 1999; Guivant and Nebot 2001; Bailey 2002; Bosse et al. 2002; Tardós et al. 2002; Williams and Dissanayake 2002).”
- An Overview to Visual Odometry and Visual SLAM: Applications to Mobile Robotics (2015, methodology): “One of the main weaknesses of topological maps is the difficulty in ensuring reliable navigation between different places without the aid of some form of a metric location measure [9].”
- FastSLAM: a factored solution to the simultaneous localization and mapping problem (2002, methodology): “Considering the data associations jointly does address these problems [1, 42], but these techniques are computationally expensive for large numbers of simultaneous observations.”
- A system for volumetric robotic mapping of abandoned mines (2003, background): “Similarly, Baily [1] reports 2-”
- Hierarchical SLAM: real-time accurate mapping of large environments (2005, methodology): “Bailey [12] proposes a similar approach called the network coupled feature maps (NCFM).”
- The Graph SLAM Algorithm with Applications to Large-Scale Mapping of Urban Structures (2006, background): “Authors such as Guivant and Nebot (2001), Williams (2001), Bailey (2002) and Tardós et al. (2002) report data structures for minuting the relative displacement between submaps, which are easily mapped to information theoretic concepts.”