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40 search results found

Simulator ⭐ 2,029

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

Awesome Interaction Aware Trajectory Prediction ⭐ 1,356

A selection of state-of-the-art research materials on trajectory prediction

Voxformer ⭐ 937

Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]

Cam2bev ⭐ 627

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.

Open-Source Framework for Development, Simulation and Benchmarking of Behavior Planning Algorithms for Autonomous Driving

Intrusion Detection System Using Machine Learning ⭐ 248

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

Self Driving Golf Cart ⭐ 246

Sscbench ⭐ 127

SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving

Autonomousracing_literature ⭐ 70

Autonomous Literature Overview

Stereoscene ⭐ 68

Official PyTorch Implementation of Bridging Stereo Geometry and BEV Representation with Reliable Mutual Interaction for Semantic Scene Completion

Zenoh Flow ⭐ 64

zenoh-flow aims at providing a zenoh-based data-flow programming framework for computations that span from the cloud to the device.

Mems Imu Denoising ⭐ 61

Data-Driven Denoising of Accelerometer Signals

Deeptl Lane Change Classification ⭐ 56

Driving risk assessment with deep learning using a monocular camera. Related paper: https://arxiv.org/abs/1906.02859

Intrusion Detection System Using Cnn And Transfer Learning ⭐ 54

Code for intrusion detection system (IDS) development using CNN models and transfer learning

German Traffic Sign Classification Using Tensorflow ⭐ 40

In this project, I used Python and TensorFlow to classify traffic signs. Dataset used: German Traffic Sign Dataset. This dataset has more than 50,000 images of 43 classes. I was able to reach a +99% validation accuracy, and a 97.3% testing accuracy.

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

Awesome Decision Making Reinforcement Learning ⭐ 37

A selection of state-of-the-art research materials on decision making and motion planning.

Occ4cast ⭐ 30

Occ4cast: LiDAR-based 4D Occupancy Completion and Forecasting

Qutms_driverless ⭐ 28

Welcome to the QUTMS Driverless team repository, used to develop perception, planning and control pipelines in ROS2 for a driverless FSAE racecar

Esp32 Autonomous Car ⭐ 25

Autonomous car using ESP32.

Duckietown.jl ⭐ 22

Differentiable Duckietown

Intelligent Vehicle Perception Based On Inertial Sensing And Artificial Intelligence ⭐ 18

Intelligent Vehicle Perception Based on Inertial Sensing and Artificial Intelligence

Detection Attributes Fields ⭐ 16

PyTorch implementation of "Detecting 32 Pedestrian Attributes for Autonomous Vehicles"

Adversedrive ⭐ 16

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

Self Driving Car ⭐ 14

Lane Detection for Self Driving Car

Pclsegmentation ⭐ 14

Tensorflow 2.9 Pipeline for Semantic Point Cloud Segmentation with SqueezeSeqV2, Darknet21 and Darknet53.

Auto Birds Eye ⭐ 12

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

Avis Engine Python Api ⭐ 11

AVIS Engine Python API

Lane Lines Detection Using Python And Opencv ⭐ 11

In this project, I used Python and OpenCV to detect lane lines on the road. I developed a processing pipeline that works on a series of individual images, and applied the result to a video stream.

Aeolus Ocean ⭐ 10

An all-weather, day-and-night, simulator that can be implemented as a digital twin for the autonomous COLREG-compliant navigation of maritime vessels.

Autonomous Vehicles Mlagents Unity ⭐ 8

Training a car to drive within the lanes in a Unity driving environment

CURLA: CURL x CARLA -- Robust end-to-end Autonomous Driving by combining Contrastive Learning and Reinforcement Learning

Tinkering and Playing around!

Project Intelligent Car ⭐ 7

Implementing autonomous capabilities with a convolutional neural network (CNN) and machine vision on a modified RC car, using a Raspberry Pi and an Arduino, written in Python and C, and utilising the TensorFlow and OpenCV libraries

Autolabeler ⭐ 6

Autolabel is a simple GUI tool to easily assign and verify *action labels* to individual frames of your self driving dataset.

Intelligent Self Driving Car ⭐ 6

High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Learning algorithm

Rl_integrated Updraft Exploitation ⭐ 5

This repository includes a reinforcement learning framework for end-to-end type integrated thermal updraft localization and exploitation.

Carnd Advanced Lane Lines P4 ⭐ 5

Self Driving Car ND Project 4 - Advanced Lane Lines

Carnd Behavioral Cloning P3 ⭐ 5

Self Driving Car ND Project 3 - Behavioral Cloning

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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