Get Started
Research questionHow can edge systems fuse occlusion-limited vehicle observations and predict trajectories within strict freshness limits at scale?Vehicle sensors can miss relevant objects because of occlusions, while fusing observations and generating predictions for many vehicles can exceed the time available before the information becomes stale. The system must therefore preserve useful situational coverage without allowing the connected-vehicle workload to violate the freshness budget.
Multi-agent Systems
Robotics
Technology
Latest papersRecent research connected to this question, newest first.Scalable Edge-assisted Fusion and Path Prediction for Connected Autonomous VehiclesThe source concerns an edge-based system that fuses observations from connected autonomous vehicles and roadside units from a fixed local anchor, then predicts vehicle trajectories. Its evidence comes from CAV simulation scenarios with up to 31 vehicles and evaluates adherence to an Age of Information safety bound and fusion fidelity; it does not establish behavior in physical deployments.research paper · Sep 3, 2026
Related questions
How can vehicle-infrastructure cooperative driving be evaluated for error accumulation under occlusion without costly full simulation?How can self-supervised monocular depth estimation stay accurate across scales and dynamic traffic on automotive edge devices?How can end-to-end autonomous-driving world models use surround-view inputs without costly future-video generation at inference?How can hybrid autonomous-driving planners align trajectory generation and refinement when their objectives differ?
Home
Topics
Search
Library