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Basith Abdurrohman's Projects

2d-3d-semantics icon 2d-3d-semantics

The data skeleton from Joint 2D-3D-Semantic Data for Indoor Scene Understanding

2dlidar-vehicledetection icon 2dlidar-vehicledetection

Pseudo-Image and Sparse Points: Vehicle Detection with 2D LiDAR Revisited by Deep Learning Based Methods

3dsmoothnet icon 3dsmoothnet

[CVPR2019] The Perfect Match: 3D Point Cloud Matching with Smoothed Densities

age-prediction icon age-prediction

This Project is an applicaton based on Computer vision and Machine learning implementation using regression supervised classification.

agopengps icon agopengps

Ag Precision Mapping, Section Control and Guidance Software

agrobot icon agrobot

Neural-Kalman GNSS/INS Navigation for Precision Agriculture

airsim icon airsim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

arduino-ps2x icon arduino-ps2x

Read a Playstation 2 Gamepad or Guitar Hero Controller using an Arduino

aue893_perception_and_intelligence icon aue893_perception_and_intelligence

This repository contains class-work and practice examples for the camera, RADRA, and LiDAR data processing for object detection. Deep learning methods are used for object detection from an image.

autopilot-tensorflow icon autopilot-tensorflow

A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes

avoidance icon avoidance

PX4 avoidance ROS node for obstacle detection and avoidance.

belajar-jquery icon belajar-jquery

ini adalah kumpulan hasil belajar jQuery dari channel youtube JuniorDev

blog-posts icon blog-posts

This repository hosts all the blog posts on machine learning, deep learning and statistical modeling.

blynk-server icon blynk-server

Blynk is an Internet of Things Platform aimed to simplify building mobile and web applications for the Internet of Things. Easily connect 400+ hardware models like Arduino, ESP8266, ESP32, Raspberry Pi and similar MCUs and drag-n-drop IOT mobile apps for iOS and Android in 5 minutes

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