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86 search results found

Mit Deep Learning ⭐ 9,897

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Self Driving Car ⭐ 5,753

The Udacity open source self-driving car project

Autonomousdrivingcookbook ⭐ 2,141

Scenarios, tutorials and demos for Autonomous Driving

Vehicle Detection ⭐ 1,068

Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

Self Driving Toy Car ⭐ 487

A self driving toy car using end-to-end learning

Car Finding Lane Lines ⭐ 290

Finding Lane Lines using Python and OpenCV

Algorithms For Automated Driving ⭐ 195

Each chapter of this (mini-)book guides you in programming one important software component for automated driving.

Image To 3d Bbox ⭐ 177

Build a CNN network to predict 3D bounding box of car from 2D image.

Vehicle Detection ⭐ 64

Detect vehicles in a video

Road Semantic Segmentation ⭐ 64

Udacity Self-Driving Car Engineer Nanodegree. Project: Road Semantic Segmentation

Lyft Perception Challenge ⭐ 63

The 4th place and the fastest solution of the Lyft Perception Challenge (Image semantic segmentation with PyTorch)

Vehicle Tracking 2 ⭐ 60

A vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM).

Cap_augmentation ⭐ 58

Cut and paste augmentation for object detection and instance segmentation

Mit 6.s094 ⭐ 58

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

Lane Lines Detection Python Opencv ⭐ 56

Lane Lines Detection using Python and OpenCV for self-driving car

Advanced Lane Detection ⭐ 56

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

Vehicle Detection And Tracking ⭐ 55

Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking

Lane And Vehicles Detection ⭐ 53

This repository contains works on a computer vision software pipeline built on top of Python to identify Lanes and vehicles in a video. This project is not part of Udacity SDCND but is based on other free courses and challanges provided by Udacity. It uses Computer vision and Deep Learrning Techniques. Few pipelines have been tried on SeDriCa, IIT Bombay.

Amazon Sagemaker Endpoint Deployment Of Fastai Model With Torchserve ⭐ 53

Deploy FastAI Trained PyTorch Model in TorchServe and Host in Amazon SageMaker Inference Endpoint

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Mit 6.s094 Deep Learning For Self Driving Cars ⭐ 47

Self Driving Car ⭐ 46

Implementation of the paper "End to End Learning for Self-Driving Cars"

Self Driving Car Nd ⭐ 45

Udacity's Self-Driving Car Nanodegree project files and notes.

Visualizing Lidar Data ⭐ 45

Visualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application

Autonomous Vehicle Environment Perception ⭐ 43

An Intelligent Modular Real-Time Vision-Based System for Environment Perception (NeurIPS 2022 Workshop)

True_artificial_intelligence ⭐ 42

真AI人工智能

Advanced Lane Lines ⭐ 41

Udacity Self-Driving Car Engineer Nanodegree. Project: Advanced Lane Finding

Udacity_self_driving_car ⭐ 40

Projects from Udacity Self Driving Car Nanodegree

E2e Learning Self Driving Cars ⭐ 39

🚗 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch implementation of "End-to-End Learning for Self-Driving Cars" (arXiv:1604.07316) with Udacity's Simulation env

Self-driving AI toy car 🤖🚗.

Machine Learning ⭐ 31

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

Raspi Driving Car ⭐ 30

Capstone Auto RC Car

Street_lanes_finder ⭐ 28

Street lanes finder for self-driving cars🚗.

Behavioral_cloning ⭐ 25

Lane Detection With Opencv ⭐ 24

Apply computer vision to label the lanes in a driving video

Carnd Lanelines P1 ⭐ 24

First Project Udacity's Self-Driving NanoDegree

Mono_depth_estimator ⭐ 23

Mono depth estimation for self-driving cars 🚗

Challenge Aido_rl Il ⭐ 23

Reinforcement Learning + Imitation Learning based approach to AI Driving Olympics

Carnd Behavioral Cloning ⭐ 21

Self-driving car in a simulator controlled by a tiny neural network

Carnd Advanced Lane Lines P4 ⭐ 19

Udacity Self Driving Car Nanodegree - Advance Lane Line Finder on a Video Stream

Tf Semantic Segmentation Fcn Vgg16 ⭐ 19

Semantic segmentation for classifying road. "Fully Convolutional Networks for Semantic Segmentation (2015)" implemented using TF

Emergency Vehicle Detection ⭐ 17

Python implementation of papers on Emergency Vehicle Detection

Swayam Self Driving Car ⭐ 17

This is an implementation of various algorithms and techniques required to build a simple Self Driving Car. A modified versions of the Udacity Self Driving Car Simulator is used as a testing environment.

Self Driving Cars ⭐ 16

Simulating a Self-Driving Car with basics of Deep Learning and Computer Vision

Adversedrive ⭐ 16

Attacking Vision based Perception in End-to-end Autonomous Driving Models

Object Detection Using Yolo ⭐ 16

The repository contains files to build a object detection model using the yolo pre-trained weights. We have then applied transfer learning to train the model on the Berkley Driving dataset.

Tensorrider_self_driving_car ⭐ 14

基于BP神经网络的自动驾驶模型车。包含收集数据、控制模型生成与在线/离线自动运行所需的程序。

Self Driving Car Steering Simulator ⭐ 13

The aim of this project is to allow a self driving car to steer autonomously in a virtual environment.

Carnd Semantic Segmentation P2 ⭐ 13

Udacity Self-Driving Car Nanodegree - Semantic Segmentation Project

Traffic Sign Detection For Self Driving Cars ⭐ 13

A deep learning model has been developed especially for self-driving cars like Tesla, which uses complete automatic support to drive the vehicle to recognizes traffic signs and follow them properly

Auto Birds Eye ⭐ 12

Bird's eye/Top Down view generation and mapping with deep learning.

Nd0013 Self Driving Car Engineer ⭐ 12

This is the repository for the ND0013 - Self-Driving Car Engineer Nanodegree programme given at Udacity during the 2022 session.

Traffic Sign Cnn ⭐ 12

Deep learning network for traffic sign image classification

Traffic Signs Classification ⭐ 12

A deep neural network to classify traffic signs, using TensorFlow.

Self Driving Car ⭐ 12

Self driving car I built from scratch to learn basic electronics and ML. Raspberry Pi, Python, Tensor FLow, Keras.

Ai Parking Unity ⭐ 11

A RL project focussed on autonomous parking, using Unity's MLAgents toolkit.

Training 3DCNN neural net models optimized for autonomous driving on Raspberry Pi using the Donkeycar library for 1/16 scale vehicle

Environment Perception For Self Driving Cars ⭐ 11

Visual Perception Stack For Self-Driving Cars

Udacity Self Driving Car ⭐ 11

Self-Driving Engineer Car Nanodegree

Traffic Sign Classifier ⭐ 11

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

Didi_challenge_2017_python ⭐ 10

Goal of project was to detect vehicles and pedestrians using Lidar points in real time.

Object Depth Detection Based Hybrid Distance Estimator ⭐ 10

We use our VDEmodel. Our purpose is that predict the distance between car based on Deep-Learning.

Mod6project ⭐ 10

Training autonomous vehicles with Augmented Random Search algorithm in the Carla driving simulator. Flatiron Capstone Project.

Carnd Semantic Segmentation ⭐ 10

CarND Semantic Segmentation

Advanced Lane Finding ⭐ 10

Identify the lane boundaries in a video.

Lane Detector ⭐ 9

Find lane from camera images of an autonomus car

Advanced Lane And Vehicle Detection ⭐ 9

This repository is aimed towards using advanced computer vision techniques to accurately detect lane lines on unfavorable roads.

Detecting Lane Lines P1 ⭐ 9

Lane Finding Project for Self-Driving Car Nano Degree Term 1. Road Lane Lines are detected by using various image processing techniques like Grayscale, Blurring, Canny Edge Detection, Hough Transform and Masking.

Behavioral Cloning ⭐ 9

Deep Learning to Clone Driving Behavior

Mask_lane_detection ⭐ 9

Behavioral Cloning ⭐ 8

CNN trained on human driving to predict steering angle for video game car

Traffic Sign Recognition ⭐ 8

Built and trained a deep neural network to classify traffic signs, using PyTorch. The highlights of this solution would be data preprocessing, trained with heavily augmented data and using Spatial Transformer Network.

Udemy Self Driving Car ⭐ 8

🚗[src] + [personal notes] for the "Self-Driving Car" course on UDEMY

Unreal Engine simulator for our self driving car training

Advanced Lane Finding ⭐ 8

Detect lane lines on a road using computer vision techniques

Carnd Behavioral Cloning P3 ⭐ 8

Udacity Self Driving Car Nanodegree - Behavioral Cloning

Cmpe295 Masters Project ⭐ 7

Object + Lane Detection for Self-Driving Car

Carlasimulatordatacollector ⭐ 7

Saving incoming camera sensor images data as Numpy arrays to generate ground truth data for semantic segmentation

Trafficsignclassifier ⭐ 7

This project is an aspect of a big project that is called the Self-Driving Car. One of the essential techniques in Self-Driving Car engineering is detecting the Traffic Sign. In this project I have used Deep Learning for recognizing the Traffic Signs.

Behavioral Cloning ⭐ 7

A car trained by a deep neural network to drive itself in a video game

Carnd P04 Advanced Lane Lines ⭐ 7

Udacity CarND - Project 04 - Advanced Lane Lines

Full Software Stack For Self Driving Cars ⭐ 7

Projects & Notebooks of Coursera's Self-Driving Cars Specialization.

Comma Speed Challenge ⭐ 7

Ryan's contributions to the Comma.ai speed challenge

Mind_the_bend ⭐ 6

vision based deep learning for racing games 🏎️

Carnd Lanelines P1 ⭐ 6

Udacity Self Driving Car Nanodegree - Finding Lane Lines in a Video Stream

Self_driving_car ⭐ 6

Srip19_selfdriving ⭐ 6

Multiple driving action prediction model using Faster-RCNN and object-centric network.

Carnd Trafficsignclassifier P2 ⭐ 6

Udacity Self Driving Car Nanodegree - Traffic Sign Classifier

Advance_lane_lines ⭐ 6

Project 2 to find lane lines for self driving car

Contains my assignments and labs for Udacity's Self-Driving Car Engineer nanodegree

1st Project Accident Control Management System ⭐ 6

Behavioral Cloning End To End Learning For Self Driving Cars ⭐ 5

In this project, I used a deep neural network (built with Keras) to clone car driving behavior. The dataset used to train the network is generated from Udacity's Self-Driving Car Simulator, and it consists of images taken from three different camera angles (Center - Left - Right), in addition to the steering angle, throttle, brake, and speed during each frame. The network is based on NVIDIA's paper End to End Learning for Self-Driving Cars, which has been proven to work in this problem domain.

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