Frank Fuqiang Xu's repositories

carla_simulator_Chinese

To build a self driving car simulator for Chinese traffic, which based on intel open source simulator CARLA.

Traffic-Signs-Detect-German

To train a model to detect German traffic signs with tensorflow object detection API

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Traffic-Signals-Detect-Chinese

Train a model to detect Chinese traffic signs and signals with tensorflow object detection API

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Cargo-CarND-Capstone

Program in ROS to drive the Udacity Carla, an autonomous Lincoln MKZ, at Udacity's test site in Palo Alto, California following waypoints and stop before the red traffic light.

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P1_Facial_Keypoints

To build a facial keypoint detection system

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CarND-Advanced-Lane-Lines

Write a software pipeline to identify the lane boundaries in a video and a detailed writeup of the project.

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CarND-Behavioral-Cloning-P3

Train a deep neural networks to clone driving behavior and drive the car autonomously around the track in simulator.

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CarND-Path-Planning-Project

Create a path planner that is able to navigate a car safely around a virtual highway

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CarND-Functional-Safety-Project

Create a report that documents the functional safety of lane departure warning and lane keeping assistance system according to ISO 26262

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CarND-Kidnapped-Vehicle-Project

Implement a 2 dimensional particle filter in C++ with given a map and some initial localization information (analogous to what a GPS would provide).

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CarND-LaneLines-P1

Detect lane lines in images using Python and OpenCV.

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CarND-MPC-Project

Implement Model Predictive Control to drive the car around the track.

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CarND-MPC-Quizzes

CarND MPC Quizzes

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CarND-PID-Control-Project

Implement a PID controller in C++ to maneuver the vehicle around the track with given the cross track error (CTE) and the velocity (mph).

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CarND-Semantic-Segmentation

Label the pixels of a road in images using a Fully Convolutional Network (FCN)

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CarND-Traffic-Sign-Classifier-Project

Train and validate a model to classify traffic signs using the German Traffic Sign Dataset.

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CarND-Vehicle-Detection

Write a software pipeline to detect vehicles in a video.

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FVDM

Cargo FC2017

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Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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Lane-Detect

Cargo FC2017

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LKSM

Cargo FC2017

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Lyft_Challenge_Carla

The repository is to identify cars and the drivable area of the road in the self driving simulator Carla.

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P3_Implement_SLAM

Landmark Detection and Tracking (SLAM) project for CVND

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Ud-ISDC-SelfDrivingCarSimulation

Udacity Intro to Self-Driving Car Nanodegree Project : Joy Ride (Simple Self-Driving Car Simulation)

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Vehicle-Detect

Cargo FC2017

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Zero_Traffic_Death

China traffic 0 death project

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