Paul Yeh (@paulyehtw)
github

paulyehtw

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Top repositories

1

Motion-Planning-on-CARLA

Implement Motion Planning for autonomous car on CARLA simulator
Python
144
star
2

Lidar-and-Radar-sensor-fusion-with-Extended-Kalman-Filter

Fusing Lidar and Radar data with Extended Kalman Filter (EKF)
MATLAB
137
star
3

Lane-Keeping-Assist-on-CARLA

Implementing Lane Keeping Assist (LKA) on CARLA simulator
Python
116
star
4

Motion-planning-based-on-Model-Predictive-control-and-Bezier-spline

A quasi Hybrid A* method is introduced for motion planning of autonomous driving car, based on MPC and Bezier spline
Jupyter Notebook
64
star
5

Multi-Vehicle-Intersection-planning-with-MPC-approach-for-autonomous-vehicles

Implement an MPC approach to coordinate multiple automated vehicles with fixed priorities at an unsignalized intersection
C++
24
star
6

Sensor-Fusion-Using-ES-EKF

Implement Error-State Extended Kalman Filter on fusing data from IMU, Lidar and GNSS.
Python
23
star
7

Kalman-Filter-Based-GPS-Signal-Tracking

Noisy GPS signal filtering algorithm with Kalman Filter
C++
18
star
8

Intersection-planning-with-MPC-approach-for-autonomous-vehicles

Implement an MPC approach to coordinate automated vehicles with fixed priorities
Python
17
star
9

SFND_Radar_Target_Generation_and_Detection

With Radar data, use Fast Fourier Transform(FFT) and 2D CA-CFAR to derive range and velocity of the objects
MATLAB
6
star
10

Machine-Learning

Assignments for Machine Learning course on Coursera from Stanford University
MATLAB
1
star
11

Environment-Perception-For-Self-Driving-Cars

Extract useful scene information from semantic segmentation from neural networks to allow self-driving cars to safely and reliably traverse their environment
Jupyter Notebook
1
star