EMATO: Energy-Model-Aware Trajectory Optimization for Autonomous Driving
Autonomous driving currently lacks robust evidence of energy efficiency when using energy-model-agnostic trajectory planning. To address this, we explore how differential energy models can be effectively utilized under varying driving conditions to enhance energy efficiency. Furthermore, we propose