jnghhk

jnghhk

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camera_lidar_calibration

A tool used for calibrate the extrinsic between 2D laser range finder (LRF) and camera. ROS Version: https://github.com/TurtleZhong/camera_lidar_calibration_v2

Language:C++Stargazers:71Issues:0Issues:0

camera_lidar_calibration

A tool used for calibrate 2D laser range finder (LRF) and camera. ROS Version: https://github.com/TurtleZhong/camera_lidar_calibration_v2

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kalman-cpp

Basic Kalman filter implementation in C++ using Eigen

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lidar-buster

Collection of Python snippets for processing LiDAR point cloud.

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gps_rviz_plugin

rviz plugin for visualize sensor_msgs/NavSatFix message by using Google Static Map API

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nmea_tcp_driver

Ethernet/TCP connection through USB to Differential GPS's like the Reach RTK

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PCL-ROS-cluster-Segmentation

Cluster based segmentation of Point Cloud with PCL lib in ROS

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perception_pcl

PCL (Point Cloud Library) ROS interface stack

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DBSCAN

Implementation of DBSCAN Algorithm in Python.

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DBSCAN

C++ implementation of DBSCAN clustering algorithm

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PointCloudAnnotationWithRviz

Annotation Tool for point cloud based on Velodyne VLP-32C

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LeGO-LOAM

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

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hdl_people_tracking

Real-time people tracking using a 3D LIDAR

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RoboND-Perception-Exercises

Perception Exercises for Robotics

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point-cloud-clusters

A catkin workspace in ROS which uses DBSCAN to identify which points in a point cloud belong to the same object.

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Lidar_For_AD_references

A list of references on lidar point cloud processing for autonomous driving

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voxelnet_ros

qianguih' voxelnet version with ROS Implementation code

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ublox

A driver for ublox gps

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autoware

Autoware - the world's leading open-source software project for autonomous driving

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velodyne_camera_calibration

In this repository, we implement correspondence between Velodyne and camera data.

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RobotRacing2018

This repository contains the current competition code (2018). This code will be used for the IARRC 2018. This code currently handles LIDAR mapping, trajectory rollout, PID speed control, lane detection and traffic light detection.

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ILCC

Intensity-based_Lidar_Camera_Calibration

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tutorials-kr

πŸ‡°πŸ‡·νŒŒμ΄ν† μΉ˜μ—μ„œ μ œκ³΅ν•˜λŠ” νŠœν† λ¦¬μ–Όμ˜ ν•œκ΅­μ–΄ λ²ˆμ—­μ„ μœ„ν•œ μ €μž₯μ†Œμž…λ‹ˆλ‹€. (Translate PyTorch tutorials in KoreanπŸ‡°πŸ‡·)

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