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.

Using an Unscented Kalman Filter to estimate the state of a moving object of interest with noisy lidar and radar measurements

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

Goal is to write a software pipeline to detect vehicles in a video using Support Vector Machines

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

Website for the ECC 2022 paper titled "Learning Eco-Driving Strategies at Signalized Intersections"

Vehicle Detection and Tracking

A PID controller for 2D vehicle trajectories

Self-driving vehicles fleet management

A self-driving car ride planner

I'm trying to code computer vision with opencv

Coche autónomo para la asignatura SUA empleando OSGi

Identification of road surfaces and 12 different classes like speed bumps, paved, unpaved, markings, water puddles, potholes, etc.

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.

Implementation of inference for self-driving car perception tasks like object detection