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invisible-lab's Projects

advanced-lane-detection-1 icon advanced-lane-detection-1

An advanced lane-finding algorithm using distortion correction, image rectification, color transforms, and gradient thresholding.

advanced-lane-detection-2 icon advanced-lane-detection-2

Model for the extraction of lane lines, both curved and straight, from the road. Augmented the lane area, as well added important metrics, such as cars distance from the center of the road. Implemented with OpenCV and python.

airsim icon airsim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

apollo icon apollo

An open autonomous driving platform

copilot icon copilot

Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision

deepdrive icon deepdrive

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

deepeye icon deepeye

A deep vision-based software library for autonomous and advanced driver-assistance systems.

deeppicar icon deeppicar

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

dragonpilot icon dragonpilot

dragonpilot - 基於 openpilot 的開源駕駛輔助系統

ebook-1 icon ebook-1

A collection of classic computer science books from Internet

jz2440 icon jz2440

ARM体系结构学习+ARM uboot+Linux内核+Linux驱动

kalman-and-bayesian-filters-in-python icon 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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