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This repository contains files related to Autonomous Underwater Vehicle and Remote operated Vehicle developed at Nirma University.

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krunalmbhatt/AUV-ROV

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27 Commits
Electronics
Electronics
 
 
Image_Processing
Image_Processing
 
 
ROS_AUV_ROV
ROS_AUV_ROV
 
 
final_rov
final_rov
 
 
IMG_3467.jpg
IMG_3467.jpg
 
 
README.md
README.md
 
 
ROS with ip.py
ROS with ip.py
 
 
ROS with yolo.py
ROS with yolo.py
 
 
Submission for International AUV competetion.mp4
Submission for International AUV competetion.mp4
 
 
WALL_1.jpg
WALL_1.jpg
 
 
WALL_2.jpg
WALL_2.jpg
 
 
bootlegger_enhance_2.cfg
bootlegger_enhance_2.cfg
 
 
bootlegger_enhance_2.weights
bootlegger_enhance_2.weights
 
 
custom-yolov4-tiny-detector.cfg
custom-yolov4-tiny-detector.cfg
 
 
custom-yolov4-tiny-detector_final.weights
custom-yolov4-tiny-detector_final.weights
 
 
gate with obstacle avoidance from color.py
gate with obstacle avoidance from color.py
 
 
gate with obstacle avoidance.py
gate with obstacle avoidance.py
 
 
ki cad final pcb.JPG
ki cad final pcb.JPG
 
 
rov gui final.py
rov gui final.py
 
 
rov.png
rov.png
 
 
rov_gui.py
rov_gui.py
 
 
yolo with pwm with ros.py
yolo with pwm with ros.py
 
 

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Team Nirma AUV

This repository shows the work that I have done during my time at the Autonomous Underwater Vehicle Team at Nirma University, Ahmedabad, India. The code shown in the repository was utilized during the testing of the robot and in the competition! This included codes and frameworks for both the AUV and ROV. The team is currently ranked 1st Nationally (as of March 2023) at the National Remotely Operated Underwater Vehicle Competition (AMUROVc). The team was ranked 7th Internationally at the Singapore Autonomous Underwater Vehicle Challenge last year in May 2022. My_Image My_Image

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This repository contains files related to Autonomous Underwater Vehicle and Remote operated Vehicle developed at Nirma University.

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python opencv cpp image-processing ros object-detection underwater-robotics opencv-python obstacle-avoidance jetson-tx2 sensors-data-collection autonomous-robots

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