R-VIO | Robocentric Visual-Inertial Odometry | Internationalization library

 by   rpng C++ Version: Current License: GPL-3.0

kandi X-RAY | R-VIO Summary

kandi X-RAY | R-VIO Summary

R-VIO is a C++ library typically used in Utilities, Internationalization applications. R-VIO has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Robocentric Visual-Inertial Odometry (IJRR2019, IROS2018)
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              R-VIO has a low active ecosystem.
              It has 645 star(s) with 165 fork(s). There are 35 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 4 open issues and 35 have been closed. On average issues are closed in 30 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of R-VIO is current.

            kandi-Quality Quality

              R-VIO has 0 bugs and 0 code smells.

            kandi-Security Security

              R-VIO has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              R-VIO code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              R-VIO is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              R-VIO releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.
              It has 19 lines of code, 0 functions and 1 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            R-VIO Key Features

            No Key Features are available at this moment for R-VIO.

            R-VIO Examples and Code Snippets

            No Code Snippets are available at this moment for R-VIO.

            Community Discussions

            QUESTION

            Overloading of hidden friends by differences only in (mutually exclusive) requires-clauses: legal or an ODR-violation?
            Asked 2020-Nov-10 at 11:15

            Consider the following class template, which contains two (hidden) friend declarations of the same friend (same function type; see below), which also defines the friend (and the friend is thus inline), but with the definition conditional on (mutually exclusive) requires-clauses:

            ...

            ANSWER

            Answered 2020-Nov-09 at 23:52

            From over#dcl-1,

            Two function declarations of the same name refer to the same function if they are in the same scope and have equivalent parameter declarations ([over.load]) and equivalent ([temp.over.link]) trailing requires-clauses, if any ([dcl.decl]).

            [Note 1: Since a constraint-expression is an unevaluated operand, equivalence compares the expressions without evaluating them.
            [Example 1:
            template concept C = true;
            template struct A {
            void f() requires C<42>; // #1
            void f() requires true; // OK, different functions
            };
            — end example]
            — end note]

            I understand there is 2 different foo (so no ODR violations) because of the differing requires clauses.

            I think there is issue with all mentioned compilers to not cover this corner case.

            Source https://stackoverflow.com/questions/64758699

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install R-VIO

            First, git clone the repository and catkin_make it. Then, to run rvio with single camera/IMU inputs from the ROS topics /camera/image_raw and /imu, a config file in config folder and the corresponding launch file in launch folder (for example, rvio_euroc.yaml and euroc.launch are for EuRoC dataset) are needed, and to visualize the outputs of R-VIO please use rviz with the settings file rvio_rviz.rviz in config folder. You can also run R-VIO with your own sensor (data) by creating a config file rvio_NAME_OF_YOUR_DATA.yaml in config folder and the corresponding launch file NAME_OF_YOUR_DATA.launch in launch folder referring to the above EuRoC example.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/rpng/R-VIO.git

          • CLI

            gh repo clone rpng/R-VIO

          • sshUrl

            git@github.com:rpng/R-VIO.git

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