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Name: Frank Fuqiang Xu
Type: User
Bio: Self-driving car Expert with 19 years' experiences in Automotive Engineering, Simulation and Project management
Location: Shanghai, China
Name: Frank Fuqiang Xu
Type: User
Bio: Self-driving car Expert with 19 years' experiences in Automotive Engineering, Simulation and Project management
Location: Shanghai, China
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.
To build a self driving car simulator for Chinese traffic, which based on intel open source simulator CARLA.
Write a software pipeline to identify the lane boundaries in a video and a detailed writeup of the project.
Train a deep neural networks to clone driving behavior and drive the car autonomously around the track in simulator.
Implement the extended Kalman filter in C++ to detect a bicycle's position and velocity that travels around your vehicle.
Create a report that documents the functional safety of lane departure warning and lane keeping assistance system according to ISO 26262
Implement a 2 dimensional particle filter in C++ with given a map and some initial localization information (analogous to what a GPS would provide).
Detect lane lines in images using Python and OpenCV.
Implement Model Predictive Control to drive the car around the track.
CarND MPC Quizzes
Create a path planner that is able to navigate a car safely around a virtual highway
Implement a PID controller in C++ to maneuver the vehicle around the track with given the cross track error (CTE) and the velocity (mph).
Label the pixels of a road in images using a Fully Convolutional Network (FCN)
Train and validate a model to classify traffic signs using the German Traffic Sign Dataset.
Implement an unscented Kalman filter using the CTRV motion model.
Write a software pipeline to detect vehicles in a video.
Cargo FC2017
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.
Cargo FC2017
Cargo FC2017
The repository is to identify cars and the drivable area of the road in the self driving simulator Carla.
To build a facial keypoint detection system
Landmark Detection and Tracking (SLAM) project for CVND
Cargo FC2017
Train a model to detect Chinese traffic signs and signals with tensorflow object detection API
To train a model to detect German traffic signs with tensorflow object detection API
Udacity Intro to Self-Driving Car Nanodegree Project : Joy Ride (Simple Self-Driving Car Simulation)
Cargo FC2017
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