Self-Driving Toy Car Using Deep Learning
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Updated
Mar 11, 2023 - C++
Self-Driving Toy Car Using Deep Learning
Pixel segmentation of roads from dashboard camera using Fully Convolutional Network
Coursera's Specialization (4 courses) of Self-Driving Cars by University of Toronto
Detection of street lane and calculation of curvature and position of a car on the lane using computer vision techniques and algorithms.
Lane Finding Project for Self-Driving Car
Installing QGroundControl (QGC) on Ubuntu ARM64 using Flatpak
Evaluation of Single Object Tracking with SiamMask on the autonomous driving datasets A2D2 and KITTI.
Bosch Future Mobility Challenge 2020 - Axlenauts
Obstacle Intention Inference using MCMC for autonomous ferries. Implemented in C++.
This project takes place during my studies at Lyon 1 University. I have to implement an intelligent intersection for autonomous cars
This is the project repository for the Autonomous Vehicle Driving course @ Unisa.
A deep learning model to predict trajectories of autonomous vehicles
This Repo contains the files I used for my bachelors thesis
RLLab Intern 22.08. ~ 23.02
Motion planning for self-driving cars using ONCE dataset. Aims to provide framework for ONCE dataset use for self-driving cars and continuous development pipeline for experimental motion planning techniques.
Welcome to AutoDriveHub, your central hub for cutting-edge research, code, and resources in the realm of autonomous driving. This repository aims to accelerate the development and understanding of self-driving technologies by curating a comprehensive collection of materials.
Assignment for Mehcatronics ///Not ready yet
This repository is a supplementary documentation for the Multi-Model Parameterized Koopman (MMPK) framework capturing results through software and hardware deployments
A automatic in-building path finding solution without GPS.
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