{"ID":2897824,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.04263","arxiv_id":"2507.04263","title":"SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement","abstract":"Accurate prediction of multi-agent future trajectories is crucial for autonomous driving systems to make safe and efficient decisions. Trajectory refinement has emerged as a key strategy to enhance prediction accuracy. However, existing refinement methods often overlook the topological relationships between trajectories, which are vital for improving prediction precision. Inspired by braid theory, we propose a novel trajectory refinement approach, Soft-Braid Refiner (SRefiner), guided by the soft-braid topological structure of trajectories using Soft-Braid Attention. Soft-Braid Attention captures spatio-temporal topological relationships between trajectories by considering both spatial proximity and vehicle motion states at ``soft intersection points\". Additionally, we extend this approach to model interactions between trajectories and lanes, further improving the prediction accuracy. SRefiner is a multi-iteration, multi-agent framework that iteratively refines trajectories, incorporating topological information to enhance interactions within traffic scenarios. SRefiner achieves significant performance improvements over four baseline methods across two datasets, establishing a new state-of-the-art in trajectory refinement. Code is here https://github.com/Liwen-Xiao/SRefiner.","short_abstract":"Accurate prediction of multi-agent future trajectories is crucial for autonomous driving systems to make safe and efficient decisions. Trajectory refinement has emerged as a key strategy to enhance prediction accuracy. However, existing refinement methods often overlook the topological relationships between trajectorie...","url_abs":"https://arxiv.org/abs/2507.04263","url_pdf":"https://arxiv.org/pdf/2507.04263v1","authors":"[\"Liwen Xiao\",\"Zhiyu Pan\",\"Zhicheng Wang\",\"Zhiguo Cao\",\"Wei Li\"]","published":"2025-07-06T06:45:14Z","proceeding":"cs.RO","tasks":"[\"cs.RO\"]","methods":"[]","has_code":false,"code_links":[{"ID":612368,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2897824,"paper_url":"https://arxiv.org/abs/2507.04263","paper_title":"SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement","repo_url":"https://github.com/Liwen-Xiao/SRefiner","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}