g2o 0~20230806-2 source package in Ubuntu
Changelog
g2o (0~20230806-2) unstable; urgency=medium * Fixed build on armhf -- Dima Kogan <email address hidden> Tue, 03 Oct 2023 23:50:24 -0700
Upload details
- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Science Team
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| g2o_0~20230806-2.dsc | 2.2 KiB | 9f8dfa3b6f276e337732e9899c2b74f8691709f280569ce5b62263ce7986e393 |
| g2o_0~20230806.orig.tar.xz | 696.6 KiB | 52acdc696d6d8d3e2679cf99c33545c082fe266b544108665f1042d9cc77ae96 |
| g2o_0~20230806-2.debian.tar.xz | 7.7 KiB | 54bf22da0107d882b82d23952dc4ee1d590f0384153ab13a9acd6124b037ca6c |
No changes file available.
Binary packages built by this source
- libg2o-dev: C++ framework for optimizing graph-based nonlinear error functions
A wide range of problems in robotics as well as in computer-vision involve the
minimization of a non-linear error function that can be represented as a graph.
Typical instances are simultaneous localization and mapping (SLAM) or bundle
adjustment (BA). The overall goal in these problems is to find the
configuration of parameters or state variables that maximally explain a set of
measurements affected by Gaussian noise. g2o is an open-source C++ framework
for such nonlinear least squares problems. g2o has been designed to be easily
extensible to a wide range of problems and a new problem typically can be
specified in a few lines of code. The current implementation provides solutions
to several variants of SLAM and BA. g2o offers a performance comparable to
implementations of state-of-the-art approaches for the specific problems
(02/2011)
.
Development files
- libg2o-doc: C++ framework for optimizing graph-based nonlinear error functions
A wide range of problems in robotics as well as in computer-vision involve the
minimization of a non-linear error function that can be represented as a graph.
Typical instances are simultaneous localization and mapping (SLAM) or bundle
adjustment (BA). The overall goal in these problems is to find the
configuration of parameters or state variables that maximally explain a set of
measurements affected by Gaussian noise. g2o is an open-source C++ framework
for such nonlinear least squares problems. g2o has been designed to be easily
extensible to a wide range of problems and a new problem typically can be
specified in a few lines of code. The current implementation provides solutions
to several variants of SLAM and BA. g2o offers a performance comparable to
implementations of state-of-the-art approaches for the specific problems
(02/2011)
.
Documentation
- libg2o0: No summary available for libg2o0 in ubuntu noble.
No description available for libg2o0 in ubuntu noble.
- libg2o0-dbgsym: No summary available for libg2o0-dbgsym in ubuntu noble.
No description available for libg2o0-dbgsym in ubuntu noble.
