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MAP-Former: Multi-Agent-Pair Gaussian Joint Prediction
May 1, 2024, 4:42 a.m. | Marlon Steiner, Marvin Klemp, Christoph Stiller
cs.LG updates on arXiv.org arxiv.org
Abstract: There is a gap in risk assessment of trajectories between the trajectory information coming from a traffic motion prediction module and what is actually needed. Closing this gap necessitates advancements in prediction beyond current practices. Existing prediction models yield joint predictions of agents' future trajectories with uncertainty weights or marginal Gaussian probability density functions (PDFs) for single agents. Although, these methods achieve high accurate trajectory predictions, they only provide little or no information about the …
abstract agent agents arxiv assessment beyond cs.lg current future gap information map multi-agent practices prediction prediction models predictions risk risk assessment traffic trajectory type uncertainty
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