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Final project for EECE-5698 Robot sensing and navgation.

MATLAB 7.65% CMake 16.37% Python 27.95% C++ 48.03%
robotics slam-algorithms visual-inertial-odometry turtlebot3 obstacle-avoidance optical-flow computer-vision face-detection

visual-slam-and-visual-inertial-odometry-using-lidar-and-monocular-camera-'s Introduction

Visual SLAM and Visual Inertial Odometry using Lidar and Monocular camera


INSTALL INSTRUCTIONS ON TURTLEBOT3
https://github.com/ROBOTIS-GIT/turtlebot3
# setup the Gstreamer (640x480, 30fps)
https://discourse.ros.org/t/ros-visual-odometry/2465

INSTALL INSTRUCTIONS ON LOCAL MACHINE
copy team11_ws to home directory
cd team11_ws
catkin_make
# if an error is encountered, please install the ros dependency package mentioned
source devel/setup.bash
# don't forget to use "chmod" to grant permission to all python scripts

USAGE
Face Follower Demo
TURTLEBOT3
start "bringup" and Gstreamer on Turtlebot3
LOCAL
# open a new terminal
roslaunch gscam raspicam.launch
# open a new terminal
cd ~/team11_ws/src/tb3_rotate/scripts/
rosrun tb3_rotate test_follow.py


Monocular Visual Odometry Demo
TURTLEBOT3
start "bringup" and Gstreamer on Turtlebot3
LOCAL
# open a new terminal
roslaunch turtlebot3_slam turtlebot3_slam.launch
# open a new terminal
roslaunch gscam raspicam.launch
# open a new terminal
roslaunch team11_opticalflow main.launch
# then use teleoperation to control the turtlebot
# or use the frontier_exploration package

APPENDIX
Part of the required installation package
gscam
image_common
image_pipeline
navigation
robot_localization
vision_opencv
viso2

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