hanlinhung's Projects
🔥3D-MOT(点云多目标检测和追踪C++) (2020 · 秋) 代码有详细注解
🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等
Object detection / tracking / fusion based on Apollo r3.0.0 perception module in ROS
图像images/点云point clouds标注工具汇总
Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project
Detection and Tracking of Moving Objects (DATMO) using sensor_msgs/Lidar.
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
Implementation of "A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application"
Robot-centric elevation mapping for rough terrain navigation
Universal grid map library for mobile robotic mapping
Some Python Implementations of the Kalman Filter
Header only C++ implementation of standard and extended Kalman filters.
An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" from IROS 2019
A list of references on lidar point cloud processing for autonomous driving
3D LiDAR Object Detection & Tracking using Euclidean Clustering, RANSAC, & Hungarian Algorithm
Lidar Obstacle Detection
Ground Segmentation
OpenMMLab's next-generation platform for general 3D object detection.
mmdetection3d 代码重点注解笔记
A fast object tracking method by using JPDA-IMM-UKF.
多传感器融合(lidar radar camera)
An implementation of multi-layered stixel computation
C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud
Convert pointpillars Pytorch Model To ONNX for TensorRT Inference
Object detection in Point Cloud is popular in HD Map and sensor-based autonomous driving. There basically four types of object you can obtain in daily scenario: road surface - contains painted lane marking and pavement area, support facility - contains road boundary (guardrail and curb), road sign, light pole, etc., uncorrelated object - for example, sidewalk, building, etc., and moving object - such like pedestrian, vehicle, bicycle, etc. In this project, please search references, design and prototype your road boundary (guardrail) detection algorithm.
Object Orientation Corrected Bounding Box Fit for Point Cloud Clusters.
A ROS package for 2D obstacle detection based on laser range data.
ROS Implementation of Patchwork++
A point cloud ground filter based on ground plane fitting