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  • [2503. 05689] GoalFlow: Goal-Driven Flow Matching for Multimodal . . .
    We propose GoalFlow, an end-to-end autonomous driving method for generating high-quality multimodal trajectories In autonomous driving scenarios, there is rarely a single suitable trajectory Recent methods have increasingly focused on modeling multimodal trajectory distributions
  • Repo of GoalFlow: Goal-Driven Flow Matching for Multimodal . . .
    We propose GoalFlow, a goal-point-based method that guides trajectory planning With a map-free evaluation and an efficient diffusion variant, Flow Matching, we reduce inference steps, achieving superior performance with just one denoising step
  • CVPR 2025｜GoalFlow：目标点驱动，解锁端到端生成式策略新未来 - 知乎
    为了解决这个问题，我们提出了一种基于goal point的生成式方法GoalFlow，通过使用goal point这种强引导信息来引导生成式模型生成安全、高质量、多模态的规划轨迹。 我们的方法在公开数据集Navsim综合分数大幅领先其他方法。 同时，通过 Flow Matching 对轨迹分布进行建模仅用一步降噪即可实现优秀的推理性能。 当前生成多模态候选轨迹的方法主要由两种方式：一种是在回归轨迹的基础上添加不同的引导信息，例如左右转等。 另一种是通过扩散模型这种连续建模的方式通过不断加噪和去噪来生成众多的轨迹。 这两种方式都很难达到理想的效果。 前者容易发生轨迹的坍缩，引导出的轨迹非常相似。 后者容易生成高度发散的轨迹，这为挑选轨迹增加了难度。
  • GoalFlow - Automate Your Success
    GoalFlow is designed to help you achieve your goals in all areas of life and work Define your core values and principles to guide decision-making Identify and manage key areas of focus in your life and business Set and track meaningful goals aligned with your vision Develop high-level plans to achieve your long-term objectives
  • XXXXing GoalFlow - Hugging Face
    The repository contains the model described in the paper GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous Driving Code: https: github com YvanYin GoalFlow
  • GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories . . .
    We propose GoalFlow, an end-to-end autonomous driving method for generating high-quality multimodal trajectories In autonomous driving scenarios, there is rarely a single suitable trajectory Recent methods have increasingly focused on modeling multimodal trajectory distributions
  • CVPR 2025 Open Access Repository
    We propose GoalFlow, an end-to-end autonomous driving method for generating high-quality multimodal trajectories In autonomous driving scenarios, there is rarely a single suitable trajectory Recent methods have increasingly focused on modeling multimodal trajectory distributions
  • GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories . . .
    GoalFlow is a goal-driven end-to-end autonomous driving method that can generate high-quality multimodal trajectories The overall architecture of GoalFlow is illustrated in Figure 2 It comprises three main components
  • CVPR2025：GoalFlow: Goal-Driven Flow Matching for Multimodal . . .
    我们提出了一种 端到端 的自动驾驶方法 GoalFlow，用于生成高质量的多模态轨迹。 在自动驾驶场景中，很少有一条合适的轨迹。 最近的方法越来越多地专注于对多模态轨迹分布进行建模。 然而，由于轨迹发散度高以及引导和场景信息不一致，它们存在轨迹选择复杂性和轨迹质量下降的问题。 为了解决这些问题，我们引入了 GoalFlow，这是一种有效约束生成过程以生成高质量多模态轨迹的新方法。 为了解决基于扩散的方法固有的轨迹发散问题，GoalFlow 通过引入目标点来约束生成的轨迹。 GoalFlow 建立了一种新颖的评分机制，根据场景信息从候选点中选择最合适的目标点。 此外，GoalFlow 采用一种高效的生成方法流匹配来生成多模态轨迹，并结合一种精炼的评分机制从候选轨迹中选择最佳轨迹。
  • GoalFlow GoalFlow. pdf at main · YvanYin GoalFlow - GitHub
    Repo of "GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous Driving" - YvanYin GoalFlow





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