Abstract: Lane detection is a challenging task due to the inherently sparse nature of lanes, which are characterized by their thin and long structures. However, existing lane detection methods often ...
Abstract: Current deep reinforcement learning (DRL) -based adaptive traffic signal control (ATSC) methods generally face the challenge of excessive demands for storage and computational resources, ...