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kitti_ssd

SSD detection for KITTI

lego-loam

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

levenbergmarquardt

A simple implementation of the Levenberg Marquardt algorithm.

libsvm

lidar

LiDAR data processing

lidar-bonnetal

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

lidar_snow_removal

This repo is a set of nodes for ROS to filter point clouds with the goal of removing snow in Lidar data.

loam-loop-closure

this is back end slam frame work for loam loop closure

loam_velodyne

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

logreader

Read Log

megfile

Megvii FILE Library - Working with Files in Python

megvii-basedetection

You are welcomed to join us!

megvii-pku-dl-course

Homepage for the joint course of Megvii Inc. and Peking University on Deep Learning.

mobilenet-ssd-realsense

[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering

motbeyondpixels

Monocular multi-object tracking using simple and complementary 3D and 2D cues (ICRA 2018)

multi_lidar_calibration

two single-line lasers use icp to calibrate the relative position relationship

multiple-object-tracking-lidar

C++ implementation to Detect, track and classify multiple objects using LIDAR scans

multiple-realsense-d435

A guide to using multiple D435 cameras in order to extend fov

obarads.github.io

My note for studies

odomlasercalibratool

Extrinsic Calibration of a Odom and 2d Laser

online_learning

Online learning for human classification in 3D LiDAR-based tracking

opcseg

Learning to Optimally Segment Point Clouds, RAL/ICRA 2020

opencl-programming-examples

OpenCL Programming Examples

patchwork-pcl

pe-chl

point-cloud-perception-papers-reading

Some papers about 3D point cloud processing from LiDAR, cameras, etc.

pointcloud-crf

Conditional Random Fields label refine on pointcloud

pointcloud_paper

point cloud paper translation

pointrcnn

The PyTorch Implementation of PointRCNN for 3D Object Detection from Raw Point Cloud, CVPR 2019.

pseudo_lidar

(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving