An Intelligent Self-driving Truck System For Highway Transportation

Related tags

Deep LearningIITS
Overview

Inceptio Intelligent Truck System

An Intelligent Self-driving Truck System For Highway Transportation

Note

The code is still in development.

OS requirement

Ubuntu Bionic (18.04 LTS)

Install ROS 2 (Eloquent Elusor)

Please refer to https://index.ros.org/doc/ros2/Installation/Eloquent/Linux-Install-Debians/

Setup Locale

sudo apt install -y locales
sudo locale-gen en_US en_US.UTF-8
sudo update-locale LC_ALL=en_US.UTF-8 LANG=en_US.UTF-8
export LANG=en_US.UTF-8

Setup Sources

sudo apt update && sudo apt install curl gnupg2 lsb-release
curl -s https://raw.githubusercontent.com/ros/rosdistro/master/ros.asc | sudo apt-key add -

sudo sh -c 'echo "deb [arch=$(dpkg --print-architecture)] http://packages.ros.org/ros2/ubuntu $(lsb_release -cs) main" > /etc/apt/sources.list.d/ros2-latest.list'

Install ROS 2 packages

sudo apt update

sudo apt install ros-eloquent-desktop

Environment setup

Add the following line into your ~/.bashrc

source /opt/ros/eloquent/setup.bash

then

source ~/.bashrc

Install argcomplete (optional but recommanded)

sudo apt install -y python3-pip
pip3 install -U argcomplete

Install colcon

Please refer to https://index.ros.org/doc/ros2/Tutorials/Colcon-Tutorial/

sudo apt install python3-colcon-common-extensions

Install ad_map_access

Please refer to https://ad-map-access.readthedocs.io/en/latest/BUILDING/

sudo apt-get install libboost-all-dev libpugixml-dev libproj-dev libgtest-dev libpython-dev libosmium2-dev liblapacke-dev libyaml-cpp-dev castxml

sudo apt install -y python-pip

pip install --user pygccxml pyplusplus xmlrunner

Create workspace

Setup folder structure

mkdir -p ~/code/iits/iits_ws
cd ~/code/iits/iits_ws

Get the code

git clone https://github.com/InceptioResearch/IITS.git

Setup build environment

Perform a trival build first, this step generate build, install and log directories in the workspace.

colcon build --packages-select

Add the following line into your ~/.bashrc

source ~/code/iits/iits_ws/install/setup.bash

then

source ~/.bashrc

Build

cd ~/code/iits/iits_ws/

colcon build

Install Carla (Optional)

Carla is used in the visualization node Please refer to https://carla.readthedocs.io/en/latest/start_quickstart/#carla-installation

Install rosbag2 (Optional)

sudo apt-get install ros-eloquent-ros2bag ros-eloquent-rosbag2-storage-default-plugins

To record planner related topics

./src/scripts/record.sh

To record planner related debug topics (without planning results)

./src/scripts/record_debug.sh

To playback the recorded rosbag

ros2 bag play <rosbag_directory>

Quick start

run planning with truck sim

ts-lm-cli
./src/scripts/start_trucksim.sh

run scenario

ros2 launch scenario_runner run_jinan.py

run carla bridge

cd /to/your/carla/folder
./CarlaUE4.sh
ros2 run carla_bridge run_carla_bridge

run trucksim bridge (please make sure that you have installed trucksim on you computer)

ts-lm-cli
ros2 run trucksim_bridge trucksim_bridge_node
Owner
InceptioResearch
InceptioResearch
Code for paper Novel View Synthesis via Depth-guided Skip Connections

Novel View Synthesis via Depth-guided Skip Connections Code for paper Novel View Synthesis via Depth-guided Skip Connections @InProceedings{Hou_2021_W

8 Mar 14, 2022
Bagua is a flexible and performant distributed training algorithm development framework.

Bagua is a flexible and performant distributed training algorithm development framework.

786 Dec 17, 2022
Course content and resources for the AIAIART course.

AIAIART course This repo will house the notebooks used for the AIAIART course. Part 1 (first four lessons) ran via Discord in September/October 2021.

Jonathan Whitaker 492 Jan 06, 2023
Dynamic Multi-scale Filters for Semantic Segmentation (DMNet ICCV'2019)

Dynamic Multi-scale Filters for Semantic Segmentation (DMNet ICCV'2019) Introduction Official implementation of Dynamic Multi-scale Filters for Semant

23 Oct 21, 2022
Code for the paper "Asymptotics of ℓ2 Regularized Network Embeddings"

README Code for the paper Asymptotics of L2 Regularized Network Embeddings. Requirements Requires Stellargraph 1.2.1, Tensorflow 2.6.0, scikit-learm 0

Andrew Davison 0 Jan 06, 2022
An experiment on the performance of homemade Q-learning AIs in Agar.io depending on their state representation and available actions

Agar.io_Q-Learning_AI An experiment on the performance of homemade Q-learning AIs in Agar.io depending on their state representation and available act

1 Jun 09, 2022
Official implementation of SynthTIGER (Synthetic Text Image GEneratoR) ICDAR 2021

🐯 SynthTIGER: Synthetic Text Image GEneratoR Official implementation of SynthTIGER | Paper | Datasets Moonbin Yim1, Yoonsik Kim1, Han-cheol Cho1, Sun

Clova AI Research 256 Jan 05, 2023
PyTorch implementation of the method described in the paper VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop.

VoiceLoop PyTorch implementation of the method described in the paper VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop. VoiceLoop is a n

Meta Archive 873 Dec 15, 2022
A Fast Monotone Rotating Shallow Water model

pyRSW A Fast Monotone Rotating Shallow Water model How fast? As fast as a sustained 2 Gflop/s per core on a 2.5 GHz cpu (or 2048 Gflop/s with 1024 cor

Guillaume Roullet 13 Sep 28, 2022
A little software to generate and save Julia or Mandelbrot's Fractals.

Julia-Mandelbrot-s-Fractals A little software to generate and save Julia or Mandelbrot's Fractals. Dependencies : Python 3.7 or more. (Also possible t

Olivier 0 Jul 09, 2022
Wafer Fault Detection using MlOps Integration

Wafer Fault Detection using MlOps Integration This is an end to end machine learning project with MlOps integration for predicting the quality of wafe

Sethu Sai Medamallela 0 Mar 11, 2022
Robotics with GPU computing

Robotics with GPU computing Cupoch is a library that implements rapid 3D data processing for robotics using CUDA. The goal of this library is to imple

Shirokuma 625 Jan 07, 2023
Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)

TTNet-Pytorch The implementation for the paper "TTNet: Real-time temporal and spatial video analysis of table tennis" An introduction of the project c

Nguyen Mau Dung 438 Dec 29, 2022
Model-based 3D Hand Reconstruction via Self-Supervised Learning, CVPR2021

S2HAND: Model-based 3D Hand Reconstruction via Self-Supervised Learning S2HAND presents a self-supervised 3D hand reconstruction network that can join

Yujin Chen 72 Dec 12, 2022
🛠️ SLAMcore SLAM Utilities

slamcore_utils Description This repo contains the slamcore-setup-dataset script. It can be used for installing a sample dataset for offline testing an

SLAMcore 7 Aug 04, 2022
Bachelor's Thesis in Computer Science: Privacy-Preserving Federated Learning Applied to Decentralized Data

federated is the source code for the Bachelor's Thesis Privacy-Preserving Federated Learning Applied to Decentralized Data (Spring 2021, NTNU) Federat

Dilawar Mahmood 25 Nov 30, 2022
yolov5目标检测模型的知识蒸馏(基于响应的蒸馏)

代码地址: https://github.com/Sharpiless/yolov5-knowledge-distillation 教师模型: python train.py --weights weights/yolov5m.pt \ --cfg models/yolov5m.ya

52 Dec 04, 2022
SEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)

SEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020 Oral) Figure: Face image editing controlled via style images and segmenta

Peihao Zhu 579 Dec 30, 2022
Object tracking and object detection is applied to track golf puts in real time and display stats/games.

Putting_Game Object tracking and object detection is applied to track golf puts in real time and display stats/games. Works best with the Perfect Prac

Max 1 Dec 29, 2021
Recurrent Scale Approximation (RSA) for Object Detection

Recurrent Scale Approximation (RSA) for Object Detection Codebase for Recurrent Scale Approximation for Object Detection in CNN published at ICCV 2017

Yu Liu (Louis) 239 Dec 28, 2022