パッケージ: libgtsam4 (4.2.0+dfsg-1)
Factor graphs for sensor fusion in robotics
GTSAM is a C++ library that implements sensor fusion for robotics and computer vision applications, including SLAM (Simultaneous Localization and Mapping), VO (Visual Odometry), and SFM (Structure from Motion). It uses factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices to optimize for the most probable configuration or an optimal plan. Coupled with a capable sensor front-end (not provided here), GTSAM powers many impressive autonomous systems, in both academia and industry.
その他の libgtsam4 関連パッケージ
|
|
|
|
-
- dep: libboost-filesystem1.83.0 (>= 1.83.0)
- C++ でのファイルシステム操作 (ポータブルなパス、ディレクトリの列挙など)
-
- dep: libboost-serialization1.83.0 (>= 1.83.0)
- serialization library for C++
-
- dep: libboost-timer1.83.0 (>= 1.83.0)
- C++ wall clock and CPU process timers
-
- dep: libc6 (>= 2.29)
- GNU C ライブラリ: 共有ライブラリ
以下のパッケージによって提供される仮想パッケージでもあります: libc6-udeb
-
- dep: libccolamd3 (>= 1:7.0.1)
- constrained column approximate library for sparse matrices
-
- dep: libgcc-s1 (>= 4.0)
- GCC 共有ライブラリ
-
- dep: libmetis5 (>= 5.1.0.dfsg)
- Serial Graph Partitioning and Fill-reducing Matrix Ordering
-
- dep: libstdc++6 (>= 13.1)
- GNU 標準 C++ ライブラリ v3
-
- dep: libtbb12 (>= 2021.11.0)
- parallelism library for C++ - runtime files
-
- dep: libtbbmalloc2 (>= 2021.11.0)
- parallelism helper library for C++ - runtime files