Weighted Branch Aggregation

Published in Tiny Papers @ ICLR 2024, 2024

Intelligent track detection is a vital component of autonomous racing cars. We develop a novel Weighted Branch Aggregation based Convolutional Neural Network (WeBACNN) model that can accurately detect the track while being robust against image blurring due to high speed, and can work independently of lane markings.