パッケージ: python3-gtsam (4.2.0+dfsg-3)
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.
Python library
その他の python3-gtsam 関連パッケージ
|
|
|
|
-
- dep: libboost-serialization1.83.0 (>= 1.83.0)
- serialization library for C++
-
- dep: libc6 (>= 2.34)
- 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: libgcc-s1 (>= 4.5)
- GCC 共有ライブラリ
-
- dep: libgtsam4 (= 4.2.0+dfsg-3)
- Factor graphs for sensor fusion in robotics
-
- dep: libstdc++6 (>= 14)
- GNU 標準 C++ ライブラリ v3
-
- dep: libtbb12 (>= 2022.3.0)
- parallelism library for C++ - runtime files
-
- dep: python3
- 対話式の高レベルオブジェクト指向言語 (デフォルト python3 バージョン)
- dep: python3 (<< 3.14)
- dep: python3 (>= 3.13~)
-
- dep: python3-numpy
- Python library for numerical computations (Python 3)
