InfoCom: Kilobyte-Scale Communication-Efficient Collaborative Perception with Information Bottleneck

📝 Original Info

• Title: InfoCom: Kilobyte-Scale Communication-Efficient Collaborative Perception with Information Bottleneck
• ArXiv ID: 2512.10305
• Date: 2025-12-11
• Authors: Quanmin Wei, Penglin Dai, Wei Li, Bingyi Liu, Xiao Wu

📝 Abstract

Precise environmental perception is critical for the reliability of autonomous driving systems. While collaborative perception mitigates the limitations of single-agent perception through information sharing, it encounters a fundamental communication-performance trade-off. Existing communication-efficient approaches typically assume MBlevel data transmission per collaboration, which may fail due to practical network constraints. To address these issues, we propose InfoCom, an information-aware framework establishing the pioneering theoretical foundation for communication-efficient collaborative perception via extended Information Bottleneck principles. Departing from mainstream feature manipulation, InfoCom introduces a novel information purification paradigm that theoretically optimizes the extraction of minimal sufficient task-critical information under Information Bottleneck constraints. Its core innovations include: i) An Information-Aware Encoding condensing features into minimal messages while preserving perception-relevant information; ii) A Sparse Mask Generation identifying spatial cues with negligible communication cost; and iii) A Multi-Scale Decoding that progressively recovers perceptua...

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