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2dpass

2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) :fire:

3d-multi-object-tracker

A project for 3D multi-object tracking

3d-tracking-mvs

3D position tracking for soccer players with multi-camera videos

adaptive_clustering

[ROS package] Lightweight and Accurate Point Cloud Clustering

apollo-note

Note for Apollo 3.0 perception, prediction and planning modules

argoverse_kf_tracker

3D Multi-Object Tracking

autoware.ai.annotation1

这是一个autoware.ai的注释工程

autoware.learn

autoware.ai

autoware.universe

autoware_ai_perception

autoware_learn

autoware src learn and recode.

awesome-3d-multi-object-tracking-autonomous-driving

A summary and list of open source 3D multi object tracking and datasets at this stage.

botsort-cpp

C++ implementation of BoT-SORT MOT algorithm with Re-ID and Camera Motion Compensation

bytetrack

[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

bytetrack-cpp

C++ implementation of ByteTrack that does not include an object detection algorithm.

bytetrack_ros

ByteTrack + ROS2 (foxy)

calicam

CaliCam: Calibrated Fisheye Stereo & Mono Camera

centerpoint-ros-detection-and-tracking

Detection and Tracking ROS node based on CenterPoint and Kalman Filter

centertrack-iou

Source codes of CenterTrack++ in 2021 ICME Workshop on Big Surveillance Data Processing and Analysis

cnn_seg_lidar

Real time 3D semantic segmentation for Lidar, Ros based project

crn

[ICCV'23] Official implementation of CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception

cuda-code

deepsort-yolov5-tensorrt

An object tracking project with YOLOv5-v5.0 and Deepsort, speed up by C++ and TensorRT.

depth_clustering

:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

dynamic_object_removal

A ROS-based solution to clear point cloud data by removing dynamic objects for mapping.

fast_lio_localization

A simple localization framework that can re-localize in built maps based on FAST-LIO.

fusion-lidar-camera

Fusion of LiDAR and Camera

fusion_pointclouds

fusion_pointclouds 主要目的为Ubuntu环境下无人车多激光雷达标定之后， 将多个激光雷达点云话题/坐标系 通过PCL (Point Cloud Library)融合为 一个ros点云话题，以便于后期点云地面分割与地面处理等等。

ldls

LDLS (Label Diffusion LiDAR Segmentation) algorithm for instance segmentation of LiDAR point clouds.

lidar-camera-fusion

The code implemented in ROS projects a point cloud obtained by a Velodyne VLP16 3D-Lidar sensor on an image from an RGB camera.