CADET is a new modular platform for reproducible evaluation of distributed cooperative autonomy in connected autonomous vehicles using trace-driven emulation.
Vehicle- to-everything cooperative perception for autonomous driving.IEEE Transactions on Intelligent Transportation Systems
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
years
2026 4representative citing papers
Infrastructure-centric world models use roadside sensors' temporal depth to complement vehicle spatial breadth for better traffic simulation and prediction.
CABLE uses ego-motion compensated prior masks refined by residual cues and corridor envelopes to select ROIs for cloud LMM inference, cutting pixel upload 73-87% with 5-8x prefill speedup and modest quality loss across five driving datasets.
Bayesian multi-agent occupancy-grid fusion raises FoV coverage 260% and occupied-cell recall from 0.82 to 0.94 in a hybrid-validated roundabout under nominal localization.
citing papers explorer
-
CADET: A Modular Platform for Evaluating Distributed Cooperative Autonomy in Connected Autonomous Vehicles
CADET is a new modular platform for reproducible evaluation of distributed cooperative autonomy in connected autonomous vehicles using trace-driven emulation.
-
Infrastructure-Centric World Models: Bridging Temporal Depth and Spatial Breadth for Roadside Perception
Infrastructure-centric world models use roadside sensors' temporal depth to complement vehicle spatial breadth for better traffic simulation and prediction.
-
CABLE: Cloud-Assisted Bandwidth-efficient LMM-based Encoding for V2X Systems
CABLE uses ego-motion compensated prior masks refined by residual cues and corridor envelopes to select ROIs for cloud LMM inference, cutting pixel upload 73-87% with 5-8x prefill speedup and modest quality loss across five driving datasets.
-
Beyond Line of Sight: Hybrid Validation of V2X Collective Perception in Complex Scenarios
Bayesian multi-agent occupancy-grid fusion raises FoV coverage 260% and occupied-cell recall from 0.82 to 0.94 in a hybrid-validated roundabout under nominal localization.