3d-lidar-multi-object-tracking

🔥3D-MOT(点云多目标检测和追踪C++) （2020 · 秋） 代码有详细注解

3dmotformer

Offical implementation of ICCV2023 paper 3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking.

4dradarslam

ab3dmot

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

about_radar

all_notes

autoware.universe

autoware_ai_perception

awesome-3d-object-detection

Papers, code and datasets about deep learning for 3D Object Detection.

awesome-radar-camera-fusion

awesome-radar-perception

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

awesome-self-driving-car

An awesome list of self-driving cars

book3_elements-of-mathematics

Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！

book4_power-of-matrix

Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！

book5_essentials-of-probability-and-statistics

Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！

c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

cbmot

This repo contains the official code for the paper 'Score refinement for confidence-based 3D multi-object tracking'

centerformer

Implementation for CenterFormer: Center-based Transformer for 3D Object Detection (ECCV 2022)

centerfusion

CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection

centerfusionwithros

NN-based radar-camera post sensor fusion implemented by TensorRT

centerpillarnet

An anchor free method for pointcloud object detecion.

centertrack

Simultaneous object detection and tracking using center points.

clustering

Clustering / Subspace Clustering Algorithms on MATLAB

coloradar

cv_tracking

cvpr2023-papers-with-code

CVPR 2023 论文和开源项目合集

datmo

Detection and Tracking of Moving Objects (DATMO) using sensor_msgs/Lidar.

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-learning-for-lidar-point-clouds

Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06