Communication-Aware Memory and Semantic Compression for Collaborative Autonomous Perception

Abstract

Resource-Efficient V2X Perception has become a test of how well researchers can connect performance with evidence quality, resource limits, and transfer across settings. The review develops an evidence-centered account of jointly managing temporal memory and semantic tokens under energy and bandwidth constraints. The review triangulates 3 focal papers with 11 independently retrieved publications validated against DOI-registration metadata. The analysis is organized around temporal redundancy, token selection, quantization, communication latency, and safety assurance. A central precaution is not to treat results from heterogeneous studies as exchangeable, the review compares problem definitions, methodological assumptions, and validation boundaries. Across the literature, the literature consistently implies that advances in resource-efficient V2X perception become credible when representation, objective, and evaluation protocol are evaluated together and when uncertainty about distribution shift is reported explicitly. The resulting framework links method selection to decision consequence and recurring validity threats, and proposes a research agenda centered on well-specified controls, robustness tests, and reproducible workflows.