arXiv (All)
open access
Temporal Residual Bottleneck for Robust Asynchronous Collaborative Perception
Collaborative perception extends the sensing range of autonomous vehicles, but its performance degrades when shared features arrive stale or incomplete. Most latency-robust methods compensate delayed collaborator features through flow-guided alignment or direct feature transport. In this work, we fo
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- EgoRefine: Ego-Referenced Predictive Alignment and Trajectory-Conditioned Reliability-Aware Fusion for Asynchronous Collaborative Perception#1154942
- Recurrent Dynamics Give Rise to Individualized Category Representations#1078985
- Temporal State Transport in Video Generation: Diagnosing and Correcting Spectral Imbalance#985854
- Bend the Clock: Predicting Ahead to Beat Latency in Event-Based Object Detection#1063130
- Efficient Multi-Timescale Event Representations for Feed-Forward Object Detection#972003
Record · ID 1234457
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive