Special Session XVIII

Air-ground Integrated Intelligent Transportation Information Perception and Processing

(空地一体化智能交通信息感知与处理)



Chair:

Co-chair:

Weifeng Liu

Mei Xiao

Shaanxi University of Science & Technology, China

Chang'an University, China


Keywords:

Topics (include but are not limited to):

· Air-ground Intelligent Transportation (空地智能交通)

· Multimodal Information Representation (多模态信息表示)

· Information Perception (信息感知)

· Information Processing (信息处理)

· Air-ground Integration Technology (空地一体化技术)

· Intelligent Transportation on Air-ground (空地智能交通)

· Multi-modal Information Representation and Fusion  (多模态信息表示与融合)

· Intelligent Perception (智能感知)

· Embodied Intelligent Technology (具身智能技术)

· Intelligent Information Processing (智能信息处理)

· Intelligent Control (智能控制)


Summary:

· Air-ground intelligent transportation information perception and processing is a core link in realizing future smart transportation. It breaks the information barrier between air and ground transportation systems through air-ground integration technology. This field focuses on the collaborative application of multi-source heterogeneous data, and converts perception data such as radar, vision, and satellite remote sensing into unified semantic descriptions by means of multi-modal information representation methods, providing rich dimensions for traffic situation judgment. At the information perception level, it integrates UAV inspection, ground sensor networks and vehicle-road collaboration equipment to build a full-coverage dynamic monitoring system; while the information processing link relies on artificial intelligence algorithms to realize data cleaning, feature extraction and real-time decision-making, effectively solving key issues such as traffic congestion and emergency response. This conference will deeply explore the technological breakthroughs and practical paths of air-ground intelligent transportation, and promote the innovative development of cross-domain information fusion technology.

 

· 空地智能交通信息感知与处理是实现未来智慧交通的核心环节,其通过空地一体化技术打破空中与地面交通系统的信息壁垒。该领域聚焦多源异构数据的协同应用,借助多模态信息表示方法,将雷达、视觉、卫星遥感等感知数据转化为统一语义描述,为交通态势研判提供丰富维度。在信息感知层面,融合无人机巡检、地面传感器网络及车路协同设备,构建全域覆盖的动态监测体系;而信息处理环节则依托人工智能算法,实现数据清洗、特征提取与实时决策,有效解决交通拥堵、应急响应等关键问题。本次会议将深入探讨空地智能交通的技术突破与实践路径,推动跨域信息融合技术的创新发展。


Submission Deadline: 2025.10.15