Skip to content

2019 Fall, CSED232 Object Oriented Programming class project

Notifications You must be signed in to change notification settings

yesjinu/Auto-driving-donkey-car-project

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

18 Commits
 
 
 
 

Repository files navigation

About

  1. Our project 'POSTECH RObot car REnaissance'(aka. PORORE) is about making auto-driving RC car with open sources. We combines 'Raspberry Pi 3B+' with 'Dongkey car' which is a modifiable RC car. With RPLiDAR, 2D camera, and USB microphone to implement Hector-SLAM mapping, YOLO object identification, and voice recognition driving.
  2. Simply, PORORE's commands are passed on to the moving module, enabling controls such as "go," "stop," "right," "left," "fast" and "slow." It also has the ability to take pictures every five seconds while driving and recognize objects in the pictures. It can then generate a 2D map of the driven space.

Feature

  1. hector-SLAM mapping with RPLiDAR (POSTECH Library room #524)

    SLAM (Simultaneous localization and mapping) refers to simultaneous location tracking and mapping through moving objects. Hector-SLAM is a package of files that can be run over ROS. Our group used lidar to execute the hector slam.

    images/image2.jpg

    images/image3.jpg

  2. Detect objects using a 2D camera and YOLO

    Object detection was implemented using the pictures received from the pi camera mounted on PORORE and the pre-learned yolov3_tiny_weight of Darknet.

    images/image4.png

  3. Vehicle Manipulation with Voice Recognition

    GOOGLE SPEECH API and teleop-twist-keyboard were central to implementing vehicle control through voice recognition. Connect USB microphone to Raspberry pie, receive stt API and voice recognition file and modify it. Meanwhile, the teleop-twist-keyboard was a method of controlling the rc car by receiving keyboard input, and the code was changed to be set to the key for the word when a specific word appeared in the key setting step. At each stage, the voice recognition file was terminated and the file was run again to extend the microphone input time and reduce command confusion by words.

    images/image5.png

  4. Assembled figure of PORORE

    images/image6.png

    images/image7.png

References

We utilize codes from

https://github.com/tu-darmstadt-ros-pkg/hector_slam

https://github.com/GigaFlopsis/rc_car_ros

https://github.com/ros-teleop/teleop_twist_keyboard

https://github.com/pjreddie/darknet

Since there were no modifications on source codes after we forked from other user's repositories, we decide not to open the codes but hyperlink the repositories due to LICENSING issue. If there occur problems by not opening codes that we use, please let us know. Thank you.

About

2019 Fall, CSED232 Object Oriented Programming class project

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 4

  •  
  •  
  •  
  •