JACoP: Joint Alignment for Compliant Multi-Agent Prediction · DeepSignal
JACoP: Joint Alignment for Compliant Multi-Agent Prediction arXiv cs.CV · Qingze Liu, Alen Mrdovic, Danrui Li, Mathew Schwartz, Sejong Yoon, Mubbasir Kapadia 4d ago · · · · JACoP enhances multi-agent trajectory prediction by ensuring scene-level compliance and reducing collisions.
Key Points Introduces JACoP for compliant trajectory predictions. Utilizes MRF for joint selection of predictions. Achieves competitive accuracy with reduced violations. Reader Mode is being prepared.
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Low signal — niche or repeat coverage.
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Source authority 20% 78
Community heat 20% 0
Technical impact 30% 33
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Why Featured
JACoP's ability to improve multi-agent trajectory prediction with scene-level compliance signals a significant advancement for developers, PMs, and investors in autonomous systems and robotics.