A virtual world where Autonomous Systems from different Formula Student teams can compete in time-trial challenges

Formula Student Driverless Path Planning Algorithm. Colorblind centerline calculation algorithm developed by FaSTTUBe. It introduces a novel approach that uses neither Delaunay Triangulation nor RRT.

Formula Student Driverless 2019

Kunai Driverless is a Valorant External using a Driverless to Read/Write Memory

Modular system able to assist during driving 🚗, detecting road elements such as traffic lights 🚦 or traffic signs ⛔ and informing the driver of possible threats.

Driverless project of Camber Racing, official Formula Student Team of SRM Institute of Technology, KRT

A JavaScript library to enable easy and fast printing on any web application using ezeep Blue.

Autonomous System made by Formula Student Driverless team UMotorsport

A tool for easy creation of Formula Student tracks. Convert a hand drawn track layout to one that can be used in in Formula Student Driverless Simulators

Train a driverless car to drive around a simulated race track using end-to-end deep learning — from camera images to steering commands. This is the code for my 'Zero to Driverless Race Car with Deep Learning' blog post and talk.

Kernel mouse movement synthesis bypassing ETW by injecting HIDs above the entire driver stack.

This repository contains code for the perception module of an autonomous vehicle, facilitating depth estimation and cone detection using the ZED camera and YOLOv8. Tested on Ubuntu 20.04 with ROS2 Galactic.

Low-latency system audio capture for macOS—built with Core Audio, no virtual drivers required.

A formula student circuit generator

Simulation Tool for Zurich UAS Racing based on the Formula Student Driverless Simulator.

Free macOS app that scans over Wi-Fi from old Xerox WorkCentre/Phaser, Samsung SCX/Xpress and Dell laser MFPs — driver built in, no install. macOS 14+, Apple Silicon, notarized.

Cone detection for 2D RGB images using Darknet (Yolov3).

Train cone detection models for Formula Student with YOLO, FSOCO, and simple Hydra-based configs.

ROS2-based CARLA driverless simulation environment with sensor remapping, competition track data and cone-based track representation.

UDS (Udacity Driverless System) is an autonomous driving project developed using deep learning techniques and socket communication with a simulator. It was developed as an internship project during my internship at Zhilin Information Technology Co., Ltd., organized by Taiyuan University of Technology and the company itself, in 10.04.2024-23.04.2024