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
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
Set of ROS packages for autonomous driving written for Udacity's test car Carla. Includes traffic light detection, path planning and throttle/brake/steering control.
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