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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Biao Yang

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Open access Sep 2026

RCN-MAMBA: Research on Pedestrian-Future-Trajectory-Prediction Methods for Occlusion Scenarios

Pedestrian-future-trajectory prediction is a critical task in intelligent driving, traffic-scene understanding, and active safety decision-making. In real-world road environments, pedestrians’ historical trajectories are frequently affected by occlusions from vehicles, other pedestrians, road infrastructure, and detect...

Si-Jie Yang, Zhao-Yu Li, Guo-Yu Lin et al. · 0 citations

W2W: Language-Model-Based Trajectory Prediction with Reinforcement Learning

This work converts observed trajectories and interaction cues into parsable textual prompts, so that interaction semantics are expressed more explicitly in the model input and remains competitive with recent LM-based prediction methods and strong trajectory prediction base-lines on ADE/FDE.

Zi-Rui Xu, Biao Yang, Rongrong Ni et al. · 1 citation

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