Discover @oskarnatan Open Source projects

Oskar Natan (@oskarnatan)

oskarnatan

Stars
75
Global Rank 254,984 (Top 9 %)
Followers 14
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Registered over 6 years ago
Most used languages

Python
77.8 %

Jupyter Notebook
22.2 %
Location 🇮🇩 Indonesia
Country Total Rank 1,764
Country Ranking

Python
207

Jupyter Notebook
242

end-to-end-driving

Implementation code for: End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-agent, IEEE Trans. Intelligent Vehicles, 2022.

WSN-2018-Deep-Learning-and-WSN-based-Air-Quality-Monitoring-System

This repository is made for WSN project in 2018. This repository contains all programs which are used on AQMS (Air Quality Monitoring System) project.

RGBDVS-fusion

Implementation code for: Semantic Segmentation and Depth Estimation with RGB and DVS Sensor Fusion for Multi-view Driving Perception, Proc. Asian Conf. Pattern Recognition (ACPR), 2021.

DeepIPCv2

compact-perception

Implementation code for: Towards Compact Autonomous Driving Perception with Balanced Learning and Multi-sensor Fusion, IEEE Trans. Intelligent Transportation Systems, 2022.

semseg-bisaai

GPU-accelerated Semantic Image Segmentation with PyTorch

Jupyter Notebook

RRT-Path-Planning

Path planning in an indoor room with several obstacles for robotics using Rapidly-exploring Random Tree algorithm.

mtl-bisaai

Compact Semantic Segmentation and Depth Estimation with Multi-task Learning

Jupyter Notebook

Optimized-K-Means

An optimization technique to optimize K-Means algorithm which is used to cluster a dataset.

DeepIPC

Implementation code for: O. Natan and J. Miura, “DeepIPC: Deeply Integrated Perception and Control for an Autonomous Vehicle in Real Environments,” IEEE Access, vol. 12, pp. 49590-49601, Apr. 2024.