Nikhil619

Hybrid-Artificial-Potential-Fields-Algorithm-for-hexarotor

Human-following-hexa-rotor-with-obstacle-avoidance-using-YoloV3-and-StereoVision

Navigation-of-an-autonomous-rover-in-an-unknown-environment-by-localization-and-mapping

Autonomous_Mobile_Robot

Autonomous mobile robot navigation using ROS Navigation Stack.

ball_shooter

box_boy

ComputerVision

cvpr2019_Pyramid-Feature-Attention-Network-for-Saliency-detection

code and model of Pyramid Feature Selective Network for Saliency detection

Face

I have published my face related codes in this repository

FaceIDLight

A lightweight face-recognition toolbox and pipeline based on tensorflow-lite

frontier_exploration-1

ROS Node and Costmap 2D plugin layer for frontier exploration

installROS

Install ROS Melodic on NVIDIA Jetson Development Kits

linorobot2

Autonomous mobile robots (2WD, 4WD, Mecanum Drive)

mobile-aloha-images-against-velocities

Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

mono_vo_python

Visual odometry using monocular camera sequence and OpenCV.

motoman

ROS-Industrial Motoman support (http://wiki.ros.org/motoman)

multi-object-tracker

Multi-object trackers in Python

Nikhil619

ODM

A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷

Orthophoto_Maps

A mapping software that generate individual maps(orthophotos) from images of drone

pytorch-deep-image-matting

Pytorch implementation of deep image matting

Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

PyTorch-YOLOv3

Minimal PyTorch implementation of YOLOv3

Resnet-Extract-Image-Feature-Pytorch-Python

Extract image features. A script inspired by the blog post: https://becominghuman.ai/extract-a-feature-vector-for-any-image-with-pytorch-9717561d1d4c

ROS-Autonomous-Driving-and-Path-Planning-SLAM-with-TurtleBot

ros2_documentation

ROS 2 docs repository

ros_autonomous_slam

ROS package which uses the Navigation Stack to autonomously explore an unknown environment with help of GMAPPING and constructs a map of the explored environment. Finally, a path planning algorithm from the Navigation stack is used in the newly generated map to reach the goal. The Gazebo simulator is used for the simulation of the Turtlebot3 Waffle Pi robot. Various algorithms have been integrated for Autonomously exploring the region and constructing the map with help of the 360-degree Lidar sensor. Different environments can be swapped within launch files to generate a map of the environment.

rtabmap_ros

RTAB-Map's ROS package.

stereoDepth

single and stereo calibration, disparity calculation.

wild_visual_navigation

Wild Visual Navigation: A system for fast traversability learning via pre-trained models and online self-supervision