GPT-Driver
Explore a new methodology utilizing GPT-3.5's language modeling to improve motion planning for autonomous vehicles. This technique reinterprets trajectory prediction through language token conversion and large language model integration, enhancing generalization in new driving conditions. The project demonstrates a prompting-reasoning-finetuning strategy for detailed accuracy, tested on the nuScenes dataset, confirming its efficiency and wide-ranging potential.
