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zhihuanghn's Projects

3d_buildings icon 3d_buildings

Point cloud of results of aerial laser scanner is given. Code classifies points to ground, vegetation and buildings, finds outline of every building, simplifies it and visualizes buildings in 3D using OpenGL.

3d_ground_segmentation icon 3d_ground_segmentation

A ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. Izzat and N. Papanikolopoulos, 2017. Distinguish between road and non-road points. Road surface extraction. Plane fit ground filter

apollo icon apollo

An open autonomous driving platform

autoware icon autoware

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

carla icon carla

Open-source simulator for autonomous driving research.

frenet icon frenet

Coordinate system adapted to road or path - measure distance along or across path

lattice_planner-1 icon lattice_planner-1

The lattice_planner package provides a move_base global planner plugin for a time-bounded A* lattice planner. The planner is designed to plan time dependent, dynamically feasible navigation paths for robots with differential drive constraints. It uses a dynamic cost map which is based on the ROS costmap representation from the costmap_2d package.

orb_slam2 icon orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

pointrcnn icon pointrcnn

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.

sumo icon sumo

Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.

votenet icon votenet

Deep Hough Voting for 3D Object Detection in Point Clouds

vtkcloudpoint icon vtkcloudpoint

clustering(dbscan) and matching(icp) LiDAR cloud points by vtk.

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