Oskar Natan's repositories
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.
compact-perception
Implementation code for: Towards Compact Autonomous Driving Perception with Balanced Learning and Multi-sensor Fusion, IEEE Trans. Intelligent Transportation Systems, 2022.
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.
RRT-Path-Planning
Path planning in an indoor room with several obstacles for robotics using Rapidly-exploring Random Tree algorithm.
semseg-bisaai
GPU-accelerated Semantic Image Segmentation with PyTorch
mtl-bisaai
Compact Semantic Segmentation and Depth Estimation with Multi-task Learning
Optimized-K-Means
An optimization technique to optimize K-Means algorithm which is used to cluster a dataset.