· Low-Altitude Economy and Smart Transportation (低空经济与智慧交通)
· Edge AI and Real-Time Decision (边缘AI与实时决策)
· Autonomous Intelligent Systems (自主智能系统)
· Heterogeneous Computing (异构计算)
· Sea-Land-Air Integration (“海-陆-空”一体化)
· Multimodal Perception and Fusion (多模态感知与融合)
· LLMs for Transportation (交通大模型)
· Aerospace Information Processing (空间信息处理)

· Integrated "Sea-Land-Air" Smart Transportation System Architecture and Integration (“海-陆-空”一体化智慧交通系统架构与集成)
· Multimodal Perception and Fusion Technologies for Maritime and Low-Altitude Scenarios (面向海事与低空场景的多模态感知与融合技术)
· Edge AI for Real-Time Decision-Making and Dynamic Scheduling in Intelligent Transportation (边缘AI与智能交通实时决策与动态调度)
· Cooperative Control and Mission Planning for Unmanned Swarms (UAV/USV/UGV) (无人集群（无人机/无人船/无人车）协同控制与任务规划)
· Perception Reliability, Resilience, and Fault-Tolerance Mechanisms of Transportation Systems in Extreme Environments (极端环境下交通系统的感知可靠性、韧性与容错机制)
· Design and Optimization of Heterogeneous Computing Architectures for Intelligent Transportation Equipment (异构计算架构在交通智能装备中的设计与优化)
· Airspace Management and Safety Supervision in the Integration of Low-Altitude Economy and Smart Cities (低空经济与智慧城市融合中的空域管理与安全监管)

This session focuses on the key technical challenges and systemic transformations involved in expanding smart transportation from traditional terrestrial scenarios to maritime, low-altitude, and extreme environments, delving into the complexities brought about by extending the boundaries of technical applications. It highlights how heterogeneous computing architectures serve as the computational foundation for processing massive, diverse traffic data. It also explores how multi-modal perception fusion integrates multi-source information—such as radar, vision, and satellite data—to build comprehensive situational awareness, and how edge real-time decision-making enables millisecond-level responses at the network edge to ensure safety and efficiency. Furthermore, it discusses unmanned swarm cooperative control, which facilitates cross-domain collaborative operations among aerial drones, unmanned surface vessels, and unmanned ground vehicles. Together, these cutting-edge technologies form the core technical support system for the new "sea-land-air" integrated transportation paradigm. Their ultimate goal is to break down spatial barriers and build a seamlessly connected, intelligent, and highly efficient comprehensive three-dimensional transportation network.

本专场聚焦智慧交通从传统陆地向海域、低空及极端环境拓展所面临的关键技术挑战与系统变革，深入剖析了技术应用边界延伸所带来的复杂性。会议重点探讨了四大核心技术：一是异构计算架构如何为海量、异构的交通数据处理提供坚实的算力基石；二是多模态感知融合技术如何整合雷达、视觉、卫星等多源信息，以构建全域态势感知能力；三是边缘实时决策技术如何在网络边缘侧实现毫秒级响应，从而保障系统的安全与效率；四是无人集群协同控制技术如何实现空中无人机、水面无人艇与地面无人车的跨域协同作业。这些前沿技术正共同构筑“海陆空”一体化交通新格局的核心支撑体系，旨在打破空间壁垒，打造无缝衔接、智能高效的综合立体交通网络。