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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.

point_cloud_segmentation_tracking

Point Cloud Segmentation of Lidar Point Cloud Data

pointcloudvoxelizer

A python based tool for converting point cloud into voxel grid.

pointnetimplementation_deeplearning-for-lidar

this is code from an old project developed during my master thesis, it could be incoplete

python-pcl

Python bindings to the pointcloud library (pcl)

research-groups-of-point-cloud-processing

国内外点云处理著名的研究小组和学者

robond-perception-intro

Object Segmentation on 3D Point Cloud Data Using Python-PCL, DBSCAN, K-Means, Histograms, RANSAC, and SVM

rpylidar

Python 3 driver and integrated PyGame point cloud viewer for RPLIDAR sensors

scannernet

3D LIDAR point cloud object detection with switchable normalization

second_lite

object detection with lidar point cloud, with real-time performance. This is a simplified version of SECOND project by Yan Yan

second_pytorch

Advanced 3D Object Detection Based on Lidar Point Cloud.

slam-occupancy-grid-map

Create an occupancy grid map using lidar point cloud data for a generated driving scenario.

swisskitepower_sensorfusion

fusing of GPS and IMU measurements

target-tracking-algorithms---detailed-comparison-and-implementation

Explored and implemented in detail the solutions of (single/multiple) target-tracking problems under the Bayesian framework, and demonstrated the workings of Kalman filters, EKF, Gaussian Filter, PHD Filter, and Particle Filter through simulations.

test_penalized_icp

Python scripts for the penalized icp project. The goal is to add constaint from other sensors (IMU, GPS, etc.) which affect the ICP minimization.

trackercomponentlibrary

This is a collection of Matlab functions that are useful in the development of target tracking algorithms.

trackingx

An Object Oriented MATLAB toolkit for (Multi) Target Tracking.

uwb_imu_gps_fusion

Sensor fusion algorithm for UWB, IMU, GPS locating data.

vacwork-2018-2019

Vacwork at UCT creating an athlete tracking device using an IMU, GPS module, Arduino and MATLAB.

voxelnet

:mag_right: :oncoming_automobile: :articulated_lorry: :walking: :bike: 3D objects detections in LIDAR point clouds for autonomous driving

za0612