SV2V-RSim: A Comprehensive Benchmark for Self-Selective V2V Cooperative Perception with Near-Realistic Data
SV2V-RSim is introduced, a large-scale, multi-modal, near-realistic simulation dataset engineered to elevate agent diversity and realism, and the Select Vehicles Adaptively (SVA) module, which optimizes collaborator selection to balance perception performance against communication bandwidth constraints.