Binary package “libg2o0t64” in ubuntu noble
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)
Source package
Published versions
- libg2o0t64 0~20230806-4.1build1 in amd64 (Proposed)
- libg2o0t64 0~20230806-4.1build1 in amd64 (Release)
- libg2o0t64 0~20230806-4.1build1 in arm64 (Proposed)
- libg2o0t64 0~20230806-4.1build1 in arm64 (Release)
- libg2o0t64 0~20230806-4.1build1 in armhf (Proposed)
- libg2o0t64 0~20230806-4.1build1 in armhf (Release)
- libg2o0t64 0~20230806-4.1build1 in ppc64el (Proposed)
- libg2o0t64 0~20230806-4.1build1 in ppc64el (Release)
- libg2o0t64 0~20230806-4.1build1 in riscv64 (Proposed)
- libg2o0t64 0~20230806-4.1build1 in riscv64 (Release)
- libg2o0t64 0~20230806-4.1build1 in s390x (Proposed)
- libg2o0t64 0~20230806-4.1build1 in s390x (Release)