godloveliang Goto Github PK

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.

apollo_reading

behavioral-cloning

In this project, deep neural networks and convolutional neural networks were been used to clone driving behavior. train, validate and test a model using Keras. The model will output a steering angle to an autonomous vehicle.

carnd-capstone

carnd-kidnapped-vehicle-project

Particle Filter Project Visualizer.

carnd-mpc-project

My solution to the Udacity Self-Driving Car Engineer Nanodegree Model Predictive Control project

cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

cppad

A C++ Algorithmic Differentiation Package: Home Page

deeplearning_tutorials

The deeplearning algorithms implemented by tensorflow

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.

find-lane-lines

find lane lines use Canny Edge Detection and Hough Tranform line detection

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。

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

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

opencv-exercise

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

pid_controller_on_self_driving_car

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

programming-a-real-self-driving-car

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 .

self-driving-car-sim

A self-driving car simulator built with Unity

sfnd-radar-target-generation-and-detection-

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

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_lidar_obstacle_detection

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

sfnd_lidar_obstacle_detection_for_article

用于传感器融合系列（一、二）——激光雷达点云的分割、聚类原理及实现

sfnd_unscented_kalman_filter

Use UKF to track the objects with the CTRV model.

titanic_survival_exploration

traffic-sign-classifier

yolov3-object-detection-with-opencv