godloveliang/Programming-a-Real-Self-Driving-Car

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godloveliang/Programming-a-Real-Self-Driving-Car

godloveliang

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For this project, ROS nodes will be writing to implement core functionality of the autonomous vehicle system, including traffic light detection, control, and waypoint following! Then test the code using a simulator, and when it's ready, the project will be run on real self_driving car Karla .

SFND_2D_Feature_Tracking

Keypoints Detector(HARRIS, FAST, BRISK, ORB, AKAZE, and SIFT), Patch Descriptor(BRIEF, ORB, FREAK, AKAZE and SIFT)，and Matching(BFmatching, FLANN matching)).

SFND_3D_Object_Tracking

camera object tracking，lidar object tracking, camera and lidar fusion object tracking

SFND-Radar-Target-Generation-and-Detection-

use matlab to simulate Radar detecting distance、speed，in the simulation range_FFT and doppler_FFT are used.

MLND_distracted_driver_tetection

机器学习工程师纳米学位毕业项目，基于深度学习的走神司机探测

Jupyter Notebook

SFND_Lidar_Obstacle_Detection

ransac for segment, kt_tree for clustering, VoxelGrid to filter pcd, CropBox to crop pcd, streamPcd

Extended-Kalman-Filter

In this project , will utilize a kalman filter to estimate the state of a moving object of interest with noisy lidar and radar measurements.

Path-Planning-on-highway

design a path planner that is able to create smooth, safe paths for the car to follow along a 3 lane highway with traffic

CarND-Kidnapped-Vehicle-Project

Particle Filter Project Visualizer.

YOLOv3-Object-Detection-with-OpenCV

Advanced-Lane-Finding

Uses camera calibration to undistort an image, assesses various color and gradient thresholds for optimal performance, warps the image like a bird's eye view, utilizes histograms of binary activations to detect lines, and then uses sliding windows to determine a best fit line.

Jupyter Notebook

Traffic-Sign-Classifier

SFND_Unscented_Kalman_Filter

Use UKF to track the objects with the CTRV model.

PID_controller_on_self_driving_car

This project will implement a PID controller in C++ to maneuver the vehicle around the track!

Machine-Learning-Engineer-Nanodegree

机器学习课程项目P1-P5，包括机器学习基础、监督学习、非监督学习、强化学习、深度学习。

MPC-control

This repository contains my solution to the Udacity SDCND MPC Project. The goal of this project is to navigate a track in a Udacity-provided simulator