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Search results for deep learning autonomous vehicles

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74 search results found

Airsim ⭐ 15,931

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Carla ⭐ 10,122

Open-source simulator for autonomous driving research.

Autonomousdrivingcookbook ⭐ 2,141

Scenarios, tutorials and demos for Autonomous Driving

Awesome Autonomous Vehicles ⭐ 2,104

Curated List of Self-Driving Cars and Autonomous Vehicles Resources

Simulator ⭐ 2,029

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

Awesome Interaction Aware Trajectory Prediction ⭐ 1,380

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

Awesome Radar Perception ⭐ 1,004

A curated list of radar datasets, detection, tracking and fusion

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.

Awesome Self Driving Car ⭐ 609

An awesome list of self-driving cars

Awesome Carla ⭐ 486

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

Trajectron Plus Plus ⭐ 484

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

Dynslam ⭐ 472

Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.

Learningbycheating ⭐ 293

(CoRL 2019) Driving in CARLA using waypoint prediction and two-stage imitation learning

Self Driving Golf Cart ⭐ 246

Awesome Self Driving Cars ⭐ 213

An awesome list of self-driving cars

Neo 360 ⭐ 187

Pytorch code for ICCV'23 paper. NEO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes

Deeppicar ⭐ 176

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

Jetson Car ⭐ 175

Autonomous Racing Car using NVIDIA Jetson TX2 using end-to-end driving approach. Paper: https://arxiv.org/abs/1604.07316

Magicdrive ⭐ 118

Implementation of the paper “MagicDrive: Street View Generation with Diverse 3D Geometry Control”

Novel Deep Learning Model For Traffic Sign Detection Using Capsule Networks ⭐ 79

capsule networks that achieves outstanding performance on the German traffic sign dataset

Ngsim_env ⭐ 78

Learning human driver models from NGSIM data with imitation learning.

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

Awesome World Model ⭐ 67

Collect some World Models for Autonomous Driving papers.

Official Code for "Non-Probability Sampling Network for Stochastic Human Trajectory Prediction (CVPR 2022)"

Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.

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

Eigentrajectory ⭐ 54

Official Code for "EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting (ICCV 2023)"

Electron ⭐ 51

An autonomous deep learning indoor delivery robot made with Jetson

Official Code for "Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction (ECCV 2022)"

Deep learning based lane/freespace detector embedded in ROS node (built for UC3M LSI)

Secondaryawesomecollection ⭐ 49

收集深度学习相关的awesome 资源列表,欢迎补充

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

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

Cascade Ld ⭐ 46

Lane detection and classification in an end-to-end Deep Learning fashion

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

Self Driving Car Nanodegree Udacity ⭐ 37

This repository contains code and writeups for projects and labs completed as a part of UDACITY's first of it's kind self driving car nanodegree program.

Awesome Decision Making Reinforcement Learning ⭐ 37

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

Lidar Annotation Is All You Need ⭐ 34

2D road segmentation using lidar data during training

Glcapsnet ⭐ 32

Global-Local Capsule Network (GLCapsNet) is a capsule-based architecture able to provide context-based eye fixation prediction for several autonomous driving scenarios, while offering interpretability both globally and locally.

GndNet: Fast ground plane estimation and point cloud segmentation for autonomous vehicles using deep neural networks.

Collaborative Perception In Autonomous Driving ⭐ 26

(2023 ITSM) Collaborative Perception in Autonomous Driving: Methods, Datasets and Challenges

Tusimple Lane Classes ⭐ 25

TuSimple lane detection dataset addon with class information.

Mfnet Pytorch ⭐ 25

MFNet-pytorch, image semantic segmentation using RGB-Thermal images

Wasr_network ⭐ 19

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

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

Intelligent Vehicle Perception Based on Inertial Sensing and Artificial Intelligence

Graph neural networks for autonomous driving

Monocular Vehicle Localization ⭐ 18

Estimating the orientation and the relative dimensions of vehicles by producing a 3d bounding frame

Detection Attributes Fields ⭐ 16

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

Trajformer ⭐ 15

Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving (NeurIPS 2020)

Stretchbev ⭐ 13

Official implementation of our ECCV paper "StretchBEV: Stretching Future Instance Prediction Spatially and Temporally"

Auto Birds Eye ⭐ 12

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

Carla Training Data ⭐ 12

Generating training data from the Carla driving simulator in the KITTI dataset format

Domain Adaptation for Semantic Segmentation at Nighttime

Tatamiracer ⭐ 11

TatamiRacer is tiny autonomous driving car. It is based on TAMIYA MINI 4WD kit.

A deep vision-based software library for autonomous and advanced driver-assistance systems.

Synthetic Video Generation For Autonomous Cars ⭐ 11

A huge challenge for autonomous vehicles(ACs) is to have a dataset that captures real-world multitudinous driving conditions. The currently available video datasets are not annotated & most of them aren't high resolution videos which is again an impediment for object detection. I am excited to solve this problem by annotating & generating photo-realistic synthetic video dataset for ACs using DeepLab, conditional GANs.

Dataset and Evaluation Scripts for Obstacle Detection via Semantic Segmentation in a Marine Environment

Fjp.github.io ⭐ 10

📐 Personal GitHub web page. Based on the minimal-mistakes Jekyll theme.

Official Code for "Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory Prediction (AAAI 2021)"

Autonomous Vehicles Mlagents Unity ⭐ 8

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

Gtav Rewardhook ⭐ 8

Reinforcement Learning environment for Autonomous Vehicles in GTAV

Driving Imitation

Carlasimulatordatacollector ⭐ 7

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

Deeplearningdronesimulator ⭐ 7

This project is about training a deep neural network to identify and track a target in simulation so-called “follow me”. Applications like this are key to many fields of robotics and the very same techniques you apply here can be extended to scenarios like advanced cruise control in autonomous vehicles or human-robot collaboration in industry.

Ssdf Nncore ⭐ 7

nncore is a pytorch framework focusing on solving autonomous-driving problems.

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

Semantic Segmentation ⭐ 6

Off-Road Perception with DeepLabV3+

Graphtern ⭐ 6

Official Code for "A Set of Control Points Conditioned Pedestrian Trajectory Prediction (AAAI 2023)"

Carla_aebs ⭐ 6

Autonomous Emergency Braking System in Python using the CARLA driving simulator

Ros2 Maze Solving Computer Vision ⭐ 6

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

Carnd Behavioral Cloning P3 ⭐ 6

My Submission for Udacity Self Driving Car Nano Degree Behavioral Cloning Project

This repository implements a lane detection and classification model.

Speed_estimation ⭐ 5

Using deep learning to predict the speed of a moving vehicle.

Official implementation of "A Shared Representation for Photorealistic Driving Simulators" in PyTorch.

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.

Carnd Behavioral Cloning P3 ⭐ 5

Self Driving Car ND Project 3 - Behavioral Cloning

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