ITSC 2024 Paper Abstract

Paper FrBT11.6

Wang, Cong (Institute of Automation, Chinese Academy of Sciences), Nie, Dujun (Institute of Automation, Chinese Academy of Sciences), Zhang, Ruijun (Institute of Automation, Chinese Academy of Sciences), Siyu, Teng (Hong Kong Baptist University, Hong Kong SAR), Chen, Long (Chinese Academy of Sciences)

TASF: Terrestrial-Aerial Synergistic Framework for a New Generation of Intelligent Transportation

Scheduled for presentation during the Regular Session "Unmanned aerial vehicles" (FrBT11), Friday, September 27, 2024, 15:10−15:30, Salon 19

2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), September 24- 27, 2024, Edmonton, Canada

This information is tentative and subject to change. Compiled on December 26, 2024

Keywords Aerial, Marine and Surface Intelligent Vehicles, Multi-autonomous Vehicle Studies, Models, Techniques and Simulations, Cooperative Techniques and Systems

Abstract

Terrestrial-Aerial Synergistic Framework (TASF) represents a novel approach to intelligent transportation, integrating terrestrial and aerial vehicles to enhance urban transportation efficiency and capacity. In this paper, we offer a detailed examination of TASF, emphasizing its innovative applications in urban transportation, parcel delivery, and emergency response services. TASF incorporates a five-layer architecture comprising perception, communication, planning, control, and interaction. With the five-layer architecture, TASF can achieve effective collaboration among terrestrial and aerial vehicles, encompassing two principal features: terrestrial-aerial synergistic parallel perception and multi-agent parallel management. Parallel perception results from fusing Bird's Eye View (BEV) representations from Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs), whereas decentralized multi-agent management employs foundational models to enhance decision-making capabilities. Additionally, we consider challenges and potential solutions related to TASF, including safety, reliability, energy efficiency, management and integration. TASF marks a paradigm-shifting leap in the realm of intelligent transportation systems, providing a scalable and efficacious solution tailored to the dynamic requirements of urban mobility and emergency services.