Agnon1573's repositories
Awesome-Autonomous-Driving
awesome-autonomous-driving
radarsimpy
Radar Simulator built with Python and C++
implot
Immediate Mode Plotting
dm-ticket
大麦网自动购票, 支持docker一键部署。Damai automatically purchases tickets, running in docker container.
machine_learning_complete
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
awesome-radar-perception
A curated list of radar datasets, detection, tracking and fusion
EllipseFusion
Thormann, Kolja, and Marcus Baum. "Fusion of Elliptical Extended Object Estimates Parameterized with Orientation and Axes Lengths."
drawio
Source to app.diagrams.net
Constraint-based-Clustering
Malzer, C.; Baum, M. Constraint-Based Hierarchical Cluster Selection in Automotive Radar Data. Sensors 2021, 21, 3410.
Server
PanDownload的个人维护版本
probabilistic_robotics
solution of exercises of the book "probabilistic robotics"
ShadowsocksRRShare
「勤劳的搬运工」「科学上网」「翻墙」「ss、ssr、vmess免费节点」「每天更新」
fusion-ukf
An unscented Kalman Filter implementation for fusing lidar and radar sensor measurements.
CenterTrack
Simultaneous object detection and tracking using center points.
Udacity-Sensor-Fusion
Master repo for all Udacity Sensor Fusion Engineering Projects
FileMeta
Enable Explorer in Vista, Windows 7 and later to see, edit and search on tags and other metadata for any file type
Udacity-Sensor-Fusion-Unscented-Kalman-Filter
Udacity Sensor Fusion Unscented Kalman Filter
Udacity-Sensor-Fusion-Radar-Target-Gen-and-Detection
Udacity Sensor Fusion Radar Target Gen and Detection
Deep-Learning-with-TensorFlow-book
深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
awesome-lane-detection
A paper list of lane detection.
asammdf
Fast Python reader and editor for ASAM MDF / MF4 (Measurement Data Format) files
LaneDetection_End2End
End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)
mdfreader
Read Measurement Data Format (MDF) versions 3.x and 4.x file formats in python
pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
Lidar-object-clustering-AND-ground-remove
激光雷达障碍物检测和聚类，参考论文： Efficient Online Segmentation for Sparse 3D Laser Scans ; 其中包含地面分割代码 ransac;
Multi-Target-Tracking
Multi Target Tracking simulating radar. Used EKF, IPDA
Nyspider
各种爬虫
opencv
Open Source Computer Vision Library
awesome-spider
爬虫集合