March 19, 2024, 4:43 a.m. | Theodor Westny, Bj\"orn Olofsson, Erik Frisk

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.11643v1 Announce Type: cross
Abstract: The ability to predict the future trajectories of traffic participants is crucial for the safe and efficient operation of autonomous vehicles. In this paper, a diffusion-based generative model for multi-agent trajectory prediction is proposed. The model is capable of capturing the complex interactions between traffic participants and the environment, accurately learning the multimodal nature of the data. The effectiveness of the approach is assessed on large-scale datasets of real-world traffic scenarios, showing that our model …

abstract agent arxiv autonomous autonomous vehicles cs.cv cs.lg cs.ro diffusion environment future generative interactions multi-agent paper prediction the environment traffic trajectory type vehicles

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