A New Open-Source Off-road Environment for Benchmark Generalization of Autonomous Driving

Last update: Dec 27, 2022

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Deep Learning Off-road-Benchmark

Overview

A New Open-Source Off-road Environment for Benchmark Generalization of Autonomous Driving

Isaac Han, Dong-Hyeok Park, and Kyung-Joong Kim

IEEE Access [Paper] [Video]

Installation

download Off-road CARLA environment from google drive
clone this repository

git clone https://github.com/lssac7778/Off-road-Benchmark.git

pull docker image

docker pull lssac7778/carla

Quick start

run CARLA server

sh 
   
    /CARLA_Shipping_0.9.6-dirty/LinuxNoEditor/CarlaUE4.sh -opengl

run test_env.py

cd Off-road-Benchmark
docker run -v $PWD:/app -e DISPLAY=$DISPLAY --net host --ipc host lssac7778/carla python test_env.py

Document

TBA

Contact

If you have any questions about the paper or the codebase, please feel free to contact [email protected]

Owner

GitHub Repository

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A New Open-Source Off-road Environment for Benchmark Generalization of Autonomous Driving

Related tags

Overview

A New Open-Source Off-road Environment for Benchmark Generalization of Autonomous Driving

Installation

Quick start

Document

Contact

Owner

Code for our paper "Interactive Analysis of CNN Robustness"

This program presents convolutional kernel density estimation, a method used to detect intercritical epilpetic spikes (IEDs)

Pytorch implementation of "Neural Wireframe Renderer: Learning Wireframe to Image Translations"

This is a demo app to be used in the video streaming applications

Neural Scene Graphs for Dynamic Scene (CVPR 2021)

[UNMAINTAINED] Automated machine learning for analytics & production

The code for 'Deep Residual Fourier Transformation for Single Image Deblurring'

Code for the IJCAI 2021 paper "Structure Guided Lane Detection"

DziriBERT: a Pre-trained Language Model for the Algerian Dialect

Finetuning Pipeline

The code for our paper CrossFormer: A Versatile Vision Transformer Based on Cross-scale Attention.

Supplementary code for the experiments described in the 2021 ISMIR submission: Leveraging Hierarchical Structures for Few Shot Musical Instrument Recognition.

A python-image-classification web application project, written in Python and served through the Flask Microframework. This Project implements the VGG16 covolutional neural network, through Keras and Tensorflow wrappers, to make predictions on uploaded images.

Resco: A simple python package that report the effect of deep residual learning

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