FDS's repositories
3DTrans
An open-source codebase for exploring autonomous driving pre-training
AB3DMOT
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
CenterPoint
TensorRT deployment for CenterPoint Lidar Detection Model.
CenterPoint-2
Export CenterPoint PonintPillars ONNX Model For TensorRT
CPlusPlusThings
C++那些事
cupoch
Robotics with GPU computing
deep_sort_yolov3_pytorch
:punch: Add attention blocks such as cbam, se. Add deep sort, sort and some tracking algorithm using opencv 目标跟踪算法重实现
eot-examples
Examples for Extended Object Tracking
Fast-Ground-Segmentation-Based-on-JPC
An implementation on "Shen Z, Liang H, Lin L, Wang Z, Huang W, Yu J. Fast Ground Segmentation for 3D LiDAR Point Cloud Based on Jump-Convolution-Process. Remote Sensing. 2021; 13(16):3239. https://doi.org/10.3390/rs13163239"
fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
ikd-Tree
This repository provides implementation of an incremental k-d tree for robotic applications.
IMM-UKF-JPDA-tracking
MOT based on LIDAR using imm-ukf-jpda algorithm
particles_detection_fsr
Code associated with 'Airborne Particle Classification in LiDAR Point Clouds Using Deep Learning'
patchwork
SOTA fast and robust ground segmentation using 3D point cloud (accepted in RA-L'21 w/ IROS'21)
patchwork-plusplus
Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22
Point-NN
[CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
PointCloudDenoising-1
Point Cloud Denoising Project for Adastec
py-motmetrics
:bar_chart: Benchmark multiple object trackers (MOT) in Python
STC_Tracker
Multiple Object Tracking framework based on transformers for the MOT Challenge
TrackEval
HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).