top of page

Virtual Tech. Expo
2020

Group 37

Project Overview

Abstract

Our project builds a lane detection and classification system for ADAS application. We first implemented popular nural network algorithms and tested them on public lane detection datasets. Then we did improvement by incorporating self-attention distillation method into ENet, which reached 95.24% accuracy on TuSimple dataset. Finally, we deployed our model into application using Python Flask API.

detail-autonomous-driving-and-the-quest-

Poster

0001.jpg
Poster
Abstract
Video

Explanatory Video

​Supplementary Video on Expo Poster

bottom of page