Build your own (Level 3) Self Driving Vehicle capable of the following features, 1) Autonomously navigate through the custom built track. 2) Obey the road speed limits.

Drone- An Unmanned Aerial Vehicle (UAV) based on Artificial Intelligence and Machine Learning (AIML) represents the next level of innovation in bomb detection and neutralization technology.

A toolset to support automated system-level testing of unmanned aerial systems (UAS).

Class project - Using the SMARTS simulator to test performance of different RL algorithms in autonomous driving. Performance on different traffic scenarios under different levels of observabilities…

Dysca: A Dynamic and Scalable Benchmark for Evaluating Perception Ability of LVLMs

This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scra…

This is lab note I did on '23 Winter at ARIL(Autonomous Robot Intelligence Laboratory) at Seoul National University.

[Paper Reviews for Teleoperated Driving Research] Stores here are some papers and notes regarding tele-operated driving for conducting autonomous driving research.

An autonomous battleship driven by utility AI, enabling intelligent decisions through mathematical functions and scoring systems. This allows for autonomy in tasks like patrolling and searching for…

Graph-based notes (knowledge base) to learn autonomous driving

Deep Learning, Computer Vision, Autonomous Driving

Repo for scripts and info related with autonomous driving technology

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

This repo collects interesting papers related to Autonomous Vehicle Planning (along with some personal notes).

This repository contains all files for my Master's Thesis in maze navigation of an autonomous mobile robot using deep reinforcement learning. NOTE: This is still in progress

autonomous driving learning notes

Self-Driving Car learning notes include the course of Udacity Self-Driving Car Engineer Nanodegree Program

brief notes on autonomous agents and benchmarks

Source codes of Software Development for Ardupilot Powered Unmanned Systems course

Path planner for UAV that search the best flight route through the clouds from NOAA weather forecast. The pathfinding algorithm tested are A* and Dijkstra

A framework allowing to test Delay-Aware Deep Reinforcement Learning algorithms (e.g., PPO and SAC with three different delay-aware variations of their standard versions) in customizable and easily…

Test-bed for UAV path planning algorithms. The updated version of this repository can be found at https://github.com/BYU-AUVSI/theseus

This repository makes use of various Deep Learning Techniques on MNIST dataset and test various object detection algorithms on a UAV Dataset

A Virtual Reality Environment for Developing and Testing Autonomous UAV-based Structural Inspection

Comprehensive GCS software for UAVs. Enables seamless communication, commands, telemetry, real-time visualization. Organized structure: code, configs, tests, docs, profiles. Unleash its full potent…

Python-based simulations to test A*-based UAV navigation approaches.

Simplely implement image semantic segmentation test on WHU dataset and based on pytorch.