aaryapatel007 Goto Github PK

aarya.github.io

My website...

aaryapatel007

amcl_obstacle_avoidance_ros

Utilized ROS AMCL package to accurately localize a differential-drive robot inside a map in the Gazebo simulation environments and avoided obstacles using DWA local planner.

build_my_world_gazebo

Built a world using 3D gazebo simulator.

deep-learning-specialization

Deep Learning Coursera by Andrew Ng,Deeplearning.ai

drone_controls

ROS package for using steering angle and collision probability predicted via pre-trained ResNet model for drone navigation using ROS Kinetic in Gazebo 3D environment.

go_chase_it_ros

Driving a skid-steer robot in Gazebo 3D environment to chase any coloured ball with the help of hough circle transformation.

google-ml-with-tf-gcp

hippocampal-volume-quantification-in-alzheimer-progression

Built an end-to-end AI system which features a deep learning algorithm that integrates into a clinical-grade viewer and automatically measures hippocampal volumes of new patients, as their studies are committed to the clinical imaging archive.

histopathological-cancer-detection

Created an algorithm to identify metastatic cancer in small image patches taken from larger digital pathology scans. The data used for this competition is a slightly modified version of the PatchCamelyon (PCam) benchmark dataset.

home_service_bot_ros

A robot capable of executing SLAM and navigating to waypoints to pickup or deliver objects in the virtual world.

image-compression-using-huffman-coding

Created a new compressed bitmap format .cmpbmp to compress 24 bit bitmap files using Huffman compression algorithm.

latex_paper_writing_tips

Tips for Writing a Research Paper using LaTeX

motion-compensated-pulse-rate-estimation

Built an activity-aware pulse rate estimation using PPG and Accelerometer sensors.

normal-neus

Code release for NeuS

patient-selection-for-diabetes-drug-testing

Built a regression model that predicts the expected days of hospitalization time and an uncertainty range estimation.

pneumonia-detection-from-chest-x-rays

Assisting a radiologist in classifying a given chest x-ray for the presence or absence of pneumonia using Deep Learning.

pneumothorax-classification-and-segmentation

Pneumothorax is usually diagnosed by a radiologist on a chest x-ray, and can sometimes be very difficult to confirm. An accurate AI algorithm to detect pneumothorax would be useful in a lot of clinical scenarios. AI could be used to triage chest radiographs for priority interpretation, or to provide a more confident diagnosis for non-radiologists.

shortest-path-gpu

Accelerating Shortest Path algorithms on GPUs

single-view-metrology

3D construction of an object from a single 3-point perspective image. Single View Metrology

slam_rtab_ros

Creating a 2D occupancy grid and 3D octomap from a simulated environment using a robot with the RTAB-Map package