자율주행관련 자료

농업용 로봇을 개발하면서 참고했던 자료를 정리중.. 요즘에 정리를 많이 하고 있다. ㅋㅋ

## Lane Keeping Assist System

(1) PolyLaneNet: Lane Estimation via Deep Polynomial Regression

Github: https://github.com/lucastabelini/PolyLaneNet

Paper: https://arxiv.org/pdf/2004.10924.pdf

## Semantic Segmentation

(1) LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation

Github: https://github.com/xiaoyufenfei/LEDNet

Paper: https://arxiv.org/pdf/1905.02423.pdf

## 2D Object Detection

(1) YOLO v3, v4..:  You Only Look Once: Unified, Real-Time Object Detection

Github: 

https://github.com/AlexeyAB/darknet (Official)

https://github.com/ultralytics/yolov3 (YOLO v3, PyTorch)

https://github.com/ultralytics/yolov3/wiki/Train-Custom-Data (Train Custom Data)

Paper: 

YOLOv4: Optimal Speed and Accuracy of Object Detection

YOLOv3: An Incremental Improvement

(2) EfficientDet: Scalable and Efficient Object Detection

Github: https://github.com/zylo117/Yet-Another-EfficientDet-Pytorch (PyTorch)

Paper: https://arxiv.org/pdf/1911.09070.pdf

(3) Object Detection on Thermal Images using YOLOv3 and Dark Chocolate

Github: https://github.com/joehoeller/Object-Detection-on-Thermal-Images

Article: https://medium.com/@joehoeller/object-detection-on-thermal-images-f9526237686a

(4) Objects as Points (CenterNet)

Github: https://github.com/xingyizhou/CenterNet

Article: https://arxiv.org/abs/1904.07850

논문리뷰(제이스핀님 블로그): https://nuggy875.tistory.com/34

## Dataset

(1) Lyft 3D Object Detection for Autonomous Vehicles (Kaggle)

     Lyft Level 5 Self-Driving Dataset Competition Now Open (Medium)

(2) Global Wheat Detection (Kaggle)

(3) FREE FLIR Thermal Dataset for Algorithm Training

(4) Visual Object Classes Challenge 2012 (VOC2012)

(5) COCO dataset

(6) Human Detection and Tracking in Agriculture (NREC, National Robotics Engineering Center)

## Pytorch

(1) Pytorch: 미니 배치와 데이터 로드, https://wikidocs.net/55580

 

(2) Pytorch: 사용자정의 dataset, dataloader, transform 작성, https://tutorials.pytorch.kr/beginner/data_loading_tutorial.html

## Navigation

(1) Hybrid A Star 코드 분석, https://zhkmxx9302013.github.io/post/c0e17f81.html

(2) Hybrid A* Path Planner for the KTH Research Concept Vehicle, https://github.com/karlkurzer/path_planner

(3) ROS Navigation Stack, http://wiki.ros.org/navigation

(4) Neonavigation meta-package, 

https://github.com/at-wat/neonavigation?fbclid=IwAR2_O0QbLqMxr9Im4W-kwVwH4BK9lkXILTDxXSoQy9Mk0jsC5v3txYFMTfE

(5) teb_local_planner ROS Package

https://github.com/rst-tu-dortmund/teb_local_planner

## 3D Object Detection

(1) Center-based 3D Object Detection and Tracking

Github: https://github.com/tianweiy/CenterPoint

Article: https://arxiv.org/abs/2006.11275

(2) Tracking Objects as Points

Github: https://github.com/xingyizhou/CenterTrack

Article: https://arxiv.org/abs/2004.01177

## Kvaser CAN-BUS communication

(1) Improved API in Python canlib v1.5

https://www.kvaser.com/developer-blog/improved-api-python-canlib-v1-5/

(2) Byte Array to Hex String

https://stackoverflow.com/questions/19210414/byte-array-to-hex-string

(3) GIthub: Kvaser/canlib-samples

https://github.com/Kvaser/canlib-samples/blob/master/Samples/Python/canlib.py

(4) Convert bytes to int?

https://stackoverflow.com/questions/34009653/convert-bytes-to-int

## SLAM

(1) LIO-SAM

https://github.com/TixiaoShan/LIO-SAM

## Self-driving framework

(1) Autoware

https://github.com/Autoware-AI/autoware.ai

(2) Project Aslan

https://github.com/project-aslan/Aslan

## Sensor driver

(1) NovAtel GPS Driver

https://github.com/swri-robotics/novatel_gps_driver

## ROS 관련

(1) 부팅시 자동으로 roslaunch를 실행하자 - ROS package: robot_upstart

https://blog.naver.com/hdh7485/221933743251