jpp | Joint Perception and Planning For Efficient Obstacle | Robotics library

by ut-amrl C++ Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | jpp Summary

jpp is a C++ library typically used in Automation, Robotics applications. jpp has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This repository contains a C++ implementation of JPP for local obstacle avoidance using stereo cameras. A ROS wrapper for JPP is also included in the ROS/ folder. JPP uses disparity confidence checks on-demand instead of the traditional dense 3D reconstruction approach while performing obstacle avoidance during navigation planning, thus significantly saving computational cost.

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Quality

Security

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Support

jpp has a low active ecosystem.

It has 42 star(s) with 15 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of jpp is current.

Quality

jpp has 0 bugs and 0 code smells.

Security

jpp has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

jpp code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

jpp is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

jpp releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

It has 57 lines of code, 1 functions and 2 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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jpp Key Features

No Key Features are available at this moment for jpp.

jpp Examples and Code Snippets

No Code Snippets are available at this moment for jpp.

Community Discussions

Trending Discussions on jpp

Making dictionary in dictionary to separate data by the same values in one column and then from second column

How to loop to dictionary in dictionary to organize data from CSV in specified way

Finding Percentile in Spark-Scala per a group

QUESTION

Making dictionary in dictionary to separate data by the same values in one column and then from second column

Asked 2022-Mar-27 at 14:07

I am new in Python and I am stuck with one problem for a few days now. I made a script that:

-takes data from CSV file -sort it by same values in first column of data file -instert sorted data in specifield line in different template text file -save the file in as many copies as there are different values in first column from data file This picture below show how it works:

But there are two more things I need to do. When in separate files as showed above, there are some of the same values from second column of the data file, then this file should insert value from third column instead of repeating the same value from second column. On the picture below I showed how it should look like:

What I also need is to add somewhere separeted value of first column from data file by "_".

There is datafile:

...

ANSWER

Answered 2022-Mar-27 at 13:51

Content of datafile.csv:

Source https://stackoverflow.com/questions/71635444

QUESTION

How to loop to dictionary in dictionary to organize data from CSV in specified way

Asked 2022-Mar-27 at 13:47

I am stuck with one problem for a few days now. I made a script that:

What I also need is to add somewhere separeted value of first column from data file by "_".

There is datafile:

...

ANSWER

Answered 2022-Mar-27 at 13:47

When I run your code, I get this error:

Source https://stackoverflow.com/questions/71636154

QUESTION

Finding Percentile in Spark-Scala per a group

Asked 2020-Jun-16 at 09:40

I am trying to do a percentile over a column using a Window function as below. I have referred here to use the ApproxQuantile definition over a group.

...

ANSWER

Answered 2020-Jun-08 at 09:50

percentile_approx takes percentage and accuracy. It seems, they both must be a constant literal. Thus we can't compute the percentile_approx at runtime with dynamically calculated percentage and accuracy.

ref- apache spark git percentile_approx source

Source https://stackoverflow.com/questions/62211108

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

Vulnerabilities

No vulnerabilities reported

Install jpp

The complete example data (AMRL and KITTI) along with calibration files can be found here.

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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