most citedVehicle-Infrastructure Cooperative 3D Object Detection via Feature Flow Prediction

14 citations · 32 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20241 cited

RCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception

Ruiyang Hao, Siqi Fan, Yingru Dai +7

The value of roadside perception, which could extend the boundaries of autonomous driving and traffic management, has gradually become more prominent and acknowledged in recent yea…

cs.RO20243 cited

RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis

Yao Mu, Junting Chen, Qinglong Zhang +16

Robotic behavior synthesis, the problem of understanding multimodal inputs and generating precise physical control for robots, is an important part of Embodied AI. Despite successe…

cs.CV202310 cited

Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection

Haibao Yu, Yingjuan Tang, Enze Xie +3

Cooperatively utilizing both ego-vehicle and infrastructure sensor data can significantly enhance autonomous driving perception abilities. However, the uncertain temporal asynchron…

cs.CV20234 cited

V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting

Haibao Yu, Wenxian Yang, Hongzhi Ruan +11

Utilizing infrastructure and vehicle-side information to track and forecast the behaviors of surrounding traffic participants can significantly improve decision-making and safety i…

cs.CV202314 cited

Vehicle-Infrastructure Cooperative 3D Object Detection via Feature Flow Prediction

Haibao Yu, Yingjuan Tang, Enze Xie +4

Cooperatively utilizing both ego-vehicle and infrastructure sensor data can significantly enhance autonomous driving perception abilities. However, temporal asynchrony and limited…