Yudhisteer (@yudhisteer)
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yudhisteer

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Top repositories

1

Point-Clouds-3D-Perception-with-Open3D

Using the KITTI dataset, we employed Open3D to visualize, downsample, segment with RANSAC, cluster via DBSCAN, create 3D bounding boxes, and perform surface reconstruction on point clouds.
Python
45
star
2

Digital-Twin-of-Anthropomorphic-Robotic-Arm

This project consists of research on a 6 degree of freedom robot. A 3D model of the robot has been made on Unity to demonstrate Forward and Inverse Kinematics. Important concepts in robotics like Singularities, Path planning and Motion Control are explained as well.
37
star
3

Reinforcement-Learning-for-Supply-Chain-Management

The goal of the project was to design the logistic model of autonomous robots that would supply garment parts from the Cutting Dept to the Makeup Dept in the shortest time possible and using the most optimized path.
Python
24
star
4

UAV-Drone-Object-Tracking-using-Kalman-Filter

This project proposes the implementation of a Linear Kalman Filter from scratch to track stationary objects and individuals or animals approaching a drone's landing position, aiming to mitigate collision risks.
Python
20
star
5

3D-Reconstruction-with-Uncalibrated-Stereo

The project explores 3D reconstruction using Multi-View Stereo (MVS) and Structure from Motion (SfM). We show the equations how to calibrate an uncalibrated stereo then reproject our image to 3D space.
Python
19
star
6

Augmented-Reality-and-IoT-for-Machines-Monitoring

The second phase of the AR project for predictive maintenance is to combine IoT and AR to get a real-time visualization of the status of machines in the production plants.
C#
11
star
7

Lane-Detection-with-Semantic-Segmentation

Lane detection using Semantic Segmentation. To be used in industries by autonomous shuttles in a controlled environment.
11
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8

Face-Recognition-with-Masks

This project involves automating the attendance system of RT Knits using Face Recognition. Due to Covid-19, people are obliged to wear masks hence, the system is successful in recognizing people despite wearing masks.
Python
10
star
9

Predicting-the-Price-of--Anything--on-Stock-Market-Vol.1

This project is about beating the market and debugging a myth: LSTM + Stock Market = $$$.
9
star
10

Augmented-Reality-for-Preventive-Maintenance

For the first phase of the AR project, the goal was to show how AR could be used in preventive maintenance and in the training of maintenance crews.
C#
9
star
11

Assessing-NeRF-s-Efficacy-in-3D-Model-Reconstruction-A-Comparative-Analysis-with-Blender

This project delves into NeRF basics, such as ray tracing, ray casting, and ray marching. It starts with a simple task of reconstructing a red sphere in 3D. Then, we create a custom 3D model in Blender and take images to reconstruct the model using NeRF built from scratch and train for 7 hours!
Python
8
star
12

Pseudo-LiDARs-with-Stereo-Vision

This project focuses on harnessing the power of Pseudo-LiDARs and 3D computer vision for unmanned aerial vehicles (UAVs). By integrating Pseudo-LiDAR technology with Stereo Global Matching (SGBM) algorithms, we aim to enable UAVs to perceive their surroundings in three dimensions accurately.
Python
7
star
13

Optical-Flow-Obstacle-Avoidance-for-UAV

In this project I aim to develop an unsupervised sense-and-avoid system for UAVs using sparse and dense optical flow.
Python
7
star
14

Generating-Design-Ideas-from-Keywords

The purpose of the project is to understand a basic GAN from scratch. A WGAN was built to generate people's faces based in the Celeba Dataset. VQGAN + CLIP model was used to generate unique designs that would be used in fashion.
Jupyter Notebook
6
star
15

Robotic-Grasping-Detection-with-PointNet

This project focuses on training robots to grasp everyday objects accurately. We gather a unique point cloud dataset using an iPhone's LiDAR and process it with Polycam. We develop a PointNet model from scratch to perform multi-class classification and part-segmentation, guiding the robot on where to grasp objects.
Python
5
star
16

Real-time-Multi-Object-Tracking-for-Rescue-Operations

This project shows the implementation of tracking algorithms like SORT and Deep SORT from scratch. The project aims to assist emergency responders in assessing the number of people at a disaster site and tracking their movements for rescue operations, especially in situations where they are being carried away by floodwaters.
Python
3
star
17

Phase-2_Automating-QC-with-Detectron2

The second phase of the project is to automate the process of taking garment measurements and data entry using Computer Vision.
Jupyter Notebook
2
star
18

Learning-3D-Vision-with-Inverse-Graphics-Part-I

Python
1
star
19

Google-Playstore-App-Analytics

Load, clean, and visualize scraped Google Play Store data to gain insights into the Android app market.
Jupyter Notebook
1
star
20

Visual-Fusion-with-LiDAR-and-Stereo-Camera

1
star
21

Box-Optimization-with-Genetic-Algorithm

The goal of this project is to select an optimized container dimensions to load products that will reduce space wastage. By optimzing the total volume occupied by the products and their total weights, we seek the best orientation and position of the products during loading.
Jupyter Notebook
1
star