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

Last update: Dec 27, 2022

Related tags

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

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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

Contextualized Perturbation for Textual Adversarial Attack, NAACL 2021

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren*, Raymond A. Yeh*, Alexander G. Schwing.

Codebase to experiment with a hybrid Transformer that combines conditional sequence generation with regression

Code for ICCV 2021 paper "HuMoR: 3D Human Motion Model for Robust Pose Estimation"

Lightwood is Legos for Machine Learning.

Implementation of the paper titled "Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees"

CATE: Computation-aware Neural Architecture Encoding with Transformers

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators

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

Tensorflow Tutorials using Jupyter Notebook

This project aims at building a real-time wide band channel sounder using USRPs

Dahua Camera and Doorbell Home Assistant Integration

PyTorch implementation of "A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."

CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP

Example of a Quantum LSTM

Price-Prediction-For-a-Dream-Home - A machine learning based linear regression trained model for house price prediction.

The official MegEngine implementation of the ICCV 2021 paper: GyroFlow: Gyroscope-Guided Unsupervised Optical Flow Learning

A Comprehensive Empirical Study of Vision-Language Pre-trained Model for Supervised Cross-Modal Retrieval

Face Recognize System on camera AI OAK1

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.