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20222025
most citedV2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception

4 citations · 10 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025★ 1 cited

MIC-BEV: Multi-Infrastructure Camera Bird's-Eye-View Transformer with Relation-Aware Fusion for 3D Object Detection

Yun Zhang, Zhaoliang Zheng, Johnson Liu +5

Infrastructure-based perception plays a crucial role in intelligent transportation systems, offering global situational awareness and enabling cooperative autonomy. However, existi…

cs.CV2025

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception

Seth Z. Zhao, Huizhi Zhang, Zhaowei Li +11

Cooperative perception through Vehicle-to-Everything (V2X) communication offers significant potential for enhancing vehicle perception by mitigating occlusions and expanding the fi…

cs.CV2024

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations

Zonglin Meng, Yun Zhang, Zhaoliang Zheng +2

Cooperative perception has attracted wide attention given its capability to leverage shared information across connected automated vehicles (CAVs) and smart infrastructures to addr…

cs.CV2024★ 2 cited

V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception

Hao Xiang, Zhaoliang Zheng, Xin Xia +15

Recent advancements in Vehicle-to-Everything (V2X) technologies have enabled autonomous vehicles to share sensing information to see through occlusions, greatly boosting the percep…

cs.CV2023★ 4 cited

V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception

Runsheng Xu, Xin Xia, Jinlong Li +10

Modern perception systems of autonomous vehicles are known to be sensitive to occlusions and lack the capability of long perceiving range. It has been one of the key bottlenecks th…