Discover godloveliang/Advanced-Lane-Finding Open Source project

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Jupyter Notebook
License
MIT License
Created almost 6 years ago
Updated almost 6 years ago

godloveliang

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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.

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)).

C++

SFND_3D_Object_Tracking

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

C++

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

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

MATLAB

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 .

HTML