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ab3dmot

Official Python Implementation for "A Baseline for 3D Multi-Object Tracking", In Submission

apollo

An open autonomous driving platform

apollo-note

Note for Apollo 3.0 perception, prediction and planning modules

apollo3.0

autoware

Open-source software for self-driving vehicles

awesome-radar-perception

A curated list of radar datasets, detection, tracking and fusion

ctpl

Modern and efficient C++ Thread Pool Library

curbdetector

Curb detector for HDL-64E.

grid_map

Universal grid map library for mobile robotic mapping

handeyecat

easy, fast implementation of Tsai's hand-eye calibration algorithm

hector_slam

hector_slam contains ROS packages related to performing SLAM in unstructed environments like those encountered in the Urban Search and Rescue (USAR) scenarios of the RoboCup Rescue competition.

jd_maotai_seckill

优化版本的京东茅台抢购神器

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kitti-pcl

Code to use the KITTI (http://www.cvlibs.net/datasets/kitti) data set with PCL

localization_in_auto_driving

ndt_map

SLAM package using NDT registration library of Autoware with loop-closure detection (odometry based) referenced from lego_loam.

object_builders_lib

Object Orientation Corrected Bounding Box Fit for Point Cloud Clusters.

rio

RIO - EKF-based Radar Inertial Odometry using 4D mmWave radar sensors

ros_rslidar

ROS drvier for RS-LiDAR-16 and RS-LiDAR-32

run_based_segmentation

An ongoing implementation ros node on `fast segmentation of 3d point clouds: a paradigm`...

segmenters_lib

The LiDAR segmenters library, for segmentation-based detection.

slam

learning SLAM,curse,paper and others

tracking_lib

Tracking objects obtaining from segmentor and improve segmentation. https://github.com/LidarPerception/segmenters_lib

voxel_grid_tracking

Method able to detect the location and estimate the motion of obstacles, using just a 3D point cloud and odometry information as input.

voxelnet

This is an unofficial inplementation of VoxelNet in TensorFlow.