ran-zhao's starred repositories
Kamikaze-Robots
A C++, software development project using swarm algorithms on 20 or more drones simultaneously to form various geometric shapes.
drones_ROS2
A course repository to perform ground robot following using Computer Vision
multirobot_navigation
ROS2 node for multirobot naviagtion maintining the formation
Robot-Formation-Control
Formation control for a multi-agent system in a bidimensional space. Various types of formations available. Implementation in ROS2 Foxy.
Elastic-Tracker
Elastic Tracker: A Spatio-temporal Trajectory Planner Flexible Aerial Tracking
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
RaspberryCar
An intellligent car based on Raspberry Pi: obstacle avoidance, video transimission, object detection, tennis tracking; 基于树莓派的智能小车：自动避障，实时图像传输，目标检测，网球追踪；
AutoRun-Car
基于树莓派图像识别的智能循迹避障小车
googlevoice
注册 Google Voice 号码详细步骤
CourseNote
浙江大学自动化（控制）专业部分课程笔记
Traffic-Sign-Classifier-with-GUI
It is a multi-class supervised learning problem, with more than 40 classes and 15k images in total. The data is taken from ‘German traffic Sign Benchmark’ on Kaggle. The model was built using KERAS library (python), and a GUI was built using TKINTER that allowed the users to upload images of traffic sign, and to predict and display its class.
Traffic-Signs-Recognition
This is a complete project which helps autonomous cars to identify the traffic signs.
traffic_sign_detection
Implementation of darkflow on traffic sign detection and classification
Roadster
In this project, a traffic sign recognition system, divided into two parts, is presented. The first part is based on classical image processing techniques, for traffic signs extraction out of a video, whereas the second part is based on machine learning, more explicitly, convolutional neural networks, for image labeling.
DeepTrafficSign
Traffic sign recognition with Deep Convolutional Neural Networks
Image-Identification-for-Self-Driving-Cars
🖍️ This project achieves some functions of image identification for Self-Driving Cars. First, use yolov5 for object detection. Second, image classification for traffic light and traffic sign. Furthermore, the GUI of this project makes it more user-friendly for users to realize the image identification for Self-Driving Cars.
freicar_project_sign_detect
ROS (Robot Operating System) nodes for traffic sign detection with YOLOv7 and ArUco marker detection and mapping
YOLO-Darknet-Video-and-Image-Detection-Traffic-Signs
YOLO Darknet: Traffic sign detection on image and video