Hayoung Kim

SpeedFormer: Learning Speed Profiles with Upper and Lower Boundary Constraints Based on Transformer

This paper presents a new method for generating speed profiles for autonomous vehicles using a Transformer-based network that predicts the coefficients of quintic polynomials. To train and validate the network, we curate a dataset of 500K simulated urban driving scenarios, where the ground truths ar…