This project was conducted from Jan 2021 to Dec 2021, as part of the Capstone Project for the MSCV program at Carnegie Mellon University. The project was sponsored by Argo AI.
Professor Deva RamananĀ of CMU RI and Francesco Ferroni of Argo AI participated in this project.
Motivation
Autonomous driving relies heavily on a detailed vector map. However, constructing a detailed vector map consumes many human and time resources for doing so. The vector map annotated by people is also prone to human mistakes.
Hence, this project explores the state-of-the-art deep learning model to generate the mentioned vector map based on RGB images or spatial coordinates. The dataset used in this project is the Argoverse.