Vehicle as a service (VaaS): Leverage vehicles to build service networks and capabilities for smart cities
Smart cities demand resources for rich immersive sensing, ubiquitous communications,
powerful computing, large storage, and high intelligence (SCCSI) to support various kinds of …
powerful computing, large storage, and high intelligence (SCCSI) to support various kinds of …
Satfed: A resource-efficient leo satellite-assisted heterogeneous federated learning framework
Traditional federated learning (FL) frameworks rely heavily on terrestrial networks, where
coverage limitations and increasing bandwidth congestion significantly hinder model …
coverage limitations and increasing bandwidth congestion significantly hinder model …
Prioritized information bottleneck theoretic framework with distributed online learning for edge video analytics
Collaborative perception systems leverage multiple edge devices, such surveillance
cameras or autonomous cars, to enhance sensing quality and eliminate blind spots. Despite …
cameras or autonomous cars, to enhance sensing quality and eliminate blind spots. Despite …
Collaborative perception for connected and autonomous driving: Challenges, possible solutions and opportunities
Autonomous driving has attracted significant attention from both academia and industries,
which is expected to offer a safer and more efficient driving system. However, current …
which is expected to offer a safer and more efficient driving system. However, current …
AgentsCoMerge: Large Language Model Empowered Collaborative Decision Making for Ramp Merging
Ramp merging is one of the bottlenecks in traffic systems, which commonly cause traffic
congestion, accidents, and severe carbon emissions. In order to address this essential issue …
congestion, accidents, and severe carbon emissions. In order to address this essential issue …
Ic3m: In-car multimodal multi-object monitoring for abnormal status of both driver and passengers
Recently, in-car monitoring has emerged as a promising technology for detecting early-
stage abnormal status of the driver and providing timely alerts to prevent traffic accidents …
stage abnormal status of the driver and providing timely alerts to prevent traffic accidents …
AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning
Connected and autonomous driving is developing rapidly in recent years. However, current
autonomous driving systems, which are primarily based on data-driven approaches, exhibit …
autonomous driving systems, which are primarily based on data-driven approaches, exhibit …
Channel-Aware Throughput Maximization for Cooperative Data Fusion in CAV
Connected and autonomous vehicles (CAVs) have garnered significant attention due to their
extended perception range and enhanced sensing coverage. To address challenges such …
extended perception range and enhanced sensing coverage. To address challenges such …
PACP: Priority-Aware Collaborative Perception for Connected and Autonomous Vehicles
Surrounding perceptions are quintessential for safe driving for connected and autonomous
vehicles (CAVs), where the Bird's Eye View has been employed to accurately capture spatial …
vehicles (CAVs), where the Bird's Eye View has been employed to accurately capture spatial …