This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! Training with TensorFlow has never been so easy.
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Updated
Dec 17, 2019 - Python
This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! Training with TensorFlow has never been so easy.
A software pipeline to identify the lane boundaries in a road using a combination of advanced techniques like gradient, color and perspective transforms along with distortion correction and camera calibrations.
In this project, I use advanced Computer Vision techniques such as Gradient Thresholds and perspective transformations to detect Lane Lines
Self-Driving Car Engineer Nanodegree - Project 1 - Finding Lane Lines
Detect and track vehicles in live stream of video from moving car using advnaced computer vision and machine learning techniques.
Online Qualification Round of Hash Code 2018 - Self-driving rides
A PID controller for 2D vehicle trajectories
Self-driving vehicles fleet management
Utilize a kalman filter to estimate the state: position_x, position_y, velocity_x,velocity_y of a moving object of interest with noisy lidar and radar measurements.
A self-driving car ride planner
I'm trying to code computer vision with opencv
In this project we utilize an Unscented Kalman Filter to estimate the state position_x,position_y, velocity, yaw,yaw_rate of a moving object of interest with noisy lidar and radar measurements.
Coche autónomo para la asignatura SUA empleando OSGi
Path Planning
Turn-in project for Udacity's self-driving car program regarding PID control of a simulated car
In this project, a lane line detection algorithm is developed in Python to detect curvature lane lines and the within lane region in videos shot by front facing camera in car.
Basic Lane Detection for Self-Driving Cars
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