ROS support for Velodyne 3D LIDARs

Last update: Dec 30, 2022

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Overview

Velodyne¹ is a collection of ROS² packages supporting Velodyne high definition 3D LIDARs³.

Warning:

The master branch normally contains code being tested for the next ROS release. It will not always work with every previous release. To check out the source for the most recent release, check out the tag <version> with the highest version number.

The current master branch works with ROS Kinetic and Melodic. CI builds are currently run for Kinetic and Melodic.

¹Velodyne: http://www.ros.org/wiki/velodyne
²ROS: http://www.ros.org
³Velodyne high definition 3D LIDARs: http://www.velodynelidar.com/lidar/lidar.aspx

Owner

ROS device drivers

GitHub Repository http://ros.org/wiki/velodyne

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Official implementation of the Neurips 2021 paper Searching Parameterized AP Loss for Object Detection.

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Python implementation of Wu et al (2018)'s registration fusion

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Code to replicate the key results from Exploring the Limits of Out-of-Distribution Detection

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ROS support for Velodyne 3D LIDARs

Related tags

Overview

Overview

Owner

ROS device drivers

PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning

Point cloud processing tool library.

Official implementation of the Neurips 2021 paper Searching Parameterized AP Loss for Object Detection.

Code to reproduce experiments in the paper "Explainability Requires Interactivity".

Wider or Deeper: Revisiting the ResNet Model for Visual Recognition

[CVPR 2022] Official code for the paper: "A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration"

Implementation of Learning Gradient Fields for Molecular Conformation Generation (ICML 2021).

Least Square Calibration for Peer Reviews

Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences forImage-Text Retrieval

Python implementation of Wu et al (2018)'s registration fusion

Code to replicate the key results from Exploring the Limits of Out-of-Distribution Detection

Model Zoo of BDD100K Dataset

Re-implement CycleGAN in Tensorlayer

Mosaic of Object-centric Images as Scene-centric Images (MosaicOS) for long-tailed object detection and instance segmentation.

keyframes-CNN-RNN(action recognition)

This repository contains a pytorch implementation of "StereoPIFu: Depth Aware Clothed Human Digitization via Stereo Vision".

Learn about Spice.ai with in-depth samples

Img-process-manual - Utilize Python Numpy and Matplotlib to realize OpenCV baisc image processing function

Sample Prior Guided Robust Model Learning to Suppress Noisy Labels

Pytorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling