yudhisteer

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.

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!

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.

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.

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.

Lane-Detection-with-Semantic-Segmentation

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

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.

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.

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.

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.

yudhisteer/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.

yudhisteer/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.

yudhisteer/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.

yudhisteer/Lane-Detection-with-Semantic-Segmentation

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

yudhisteer/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!

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

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

yudhisteer/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.

yudhisteer/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.

yudhisteer/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.

yudhisteer/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.

yudhisteer/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.

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

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

yudhisteer/Vision-Transformer-Based-Multi-Class-Classification-for-Simulated-6DoF-Robot

The project shows how to create our own large-scale synthetic dataset for multi-class classification. The goal is to create a Vision Transformer model from scratch and run it in a digital twin made in Unity with a 6 DoF robot for palletization process.

yudhisteer/100-Data-Viz

This repositiory is about exploring fun datasets to extract insights and be able to adopt meaningful data visualization for storytelling.

yudhisteer/6D-Pose-Estimation

yudhisteer/A-Journey-with-ComfyUI

yudhisteer/Autonomous-Lane-Changing-using-Model-Predictive-Control

yudhisteer/Cleaning-Tables-with-Logistic-Regression

yudhisteer/Cross-domain-Behavioral-Policy-Transfer-for-End-to-End-Autonomous-Navigation

yudhisteer/Deep-Optical-Flow-Obstacle-Avoidance-for-UAV

yudhisteer/Git

yudhisteer/Police-Car-Chase-with-Extended-Kalman-Filter

yudhisteer/Stable-Diffusion

yudhisteer/Teleop-Low-cost-Dexterous-Manipulator-Robot

yudhisteer/Test

yudhisteer/UAV-Navigation-in-3D-Gaussian-Splatting-Environments-using-ML-Agents

yudhisteer/Underground-Tunnel-System-Mapping-with-Visual-SLAM

yudhisteer/Volumetric-Deep-Learning-Voxelization

yudhisteer/yudhisteer