Lane Finding Project for Self-Driving Car
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Updated
Jan 24, 2020 - HTML
Lane Finding Project for Self-Driving Car
Project on detecting lane lines on roads in a video stream, using polynomials
Repo for autonomy.githuka.com
Classify Traffic Sign using LeNet like Convolution Network
Classified traffic signs using a convolutional neural network with a modified LeNet architecture
Self-Driving-Car system integration to drive real car!
[Small] Traffic sign classification using Tensorflow and LeNet.
This is a Deep Learning Project to classify German Road Signs using deep neural networks and image processing.
Final year university report on simulating lane merging strategies for autonomous vehicles
Reinforcement Learning To Train a Autonomous Car to Drive in Simulation
CarND Term1 Traffic Sign Classifier
Use of Q-Learning to train a smart cab agent to navigate an environment following U.S. Right of Way Laws.
This project is to train a traffic sign classifier using CNN LeNet architecture to recognize 43 different traffic signs in the Generman Traffic Sign datasets.
Occluded Pedestrian Dataset from "Replacing the Human Driver: An Objective Benchmark for Occluded Pedestrian Detection" Gilroy et al 2023
Computer vision project on vehicle detection and tracking on roads
This repository is used to make a website that talks about my experience at MIT's 2016 Beaverworks Summer Institute, an engineering camp for rising high school seniors.
An approach to classify traffic signs with neural networks in TensorFlow. Project 2 of Udacity's Self-Driving Car Engineer Nanodegree Program.
Autonomous subsystem for an autonomous vehicle
An advanced algorithm for lane detection utilizing different color space, thresholding techniques and sliding window search.
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