Fangyuan Chi — accepted AI-conference papers

2024

Multi-Modal GPT-4 Aided Action Planning and Reasoning for Self-driving Vehicles

Fangyuan Chi, Yixiao Wang, Panos Nasiopoulos, Victor C. M. Leung

ICASSP 2024accepted

Explainable decision-making is critical for building trust in autonomous vehicles. We investigate the use of a pre-trained large language model (LLM) to derive comprehensible driving decisions from multi-modal time-series data captured by a monocular camera on an autonomous vehicle. Leveraging a gra…

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2023

Federated Semi-Supervised Learning for Object Detection in Autonomous Driving

Fangyuan Chi, Yixiao Wang, Panos Nasiopoulos, Victor C. M. Leung, Mahsa T. Pourazad

ICASSP 2023accepted

One of the main challenges in designing deep learning networks for autonomous driving is the lack of labeled data. Recent trends that address this problem involve the use of unlabeled data. In this paper, we propose a unified semi-supervised and federated learning (FL) approach that is designed to o…

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