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TopoHR framework enhances autonomous driving topology reasoning with hierarchical representation

Researchers have introduced TopoHR, a new end-to-end framework designed to improve topology reasoning for autonomous driving systems. This hierarchical representation framework establishes a cyclic interaction between centerline detection and topology reasoning, allowing each component to iteratively enhance the other. TopoHR incorporates a novel hierarchical centerline representation and a reasoning module that captures both point-to-instance and instance-to-instance relationships. The framework has demonstrated state-of-the-art performance on the OpenLane-V2 benchmark, showing significant improvements in detection and topology metrics. AI

Summary written by gemini-2.5-flash-lite from 2 sources. How we write summaries →

IMPACT Enhances autonomous driving perception systems by improving centerline detection and topology reasoning accuracy.

RANK_REASON This is a research paper detailing a new framework for autonomous driving topology reasoning.

Read on arXiv cs.CV →

COVERAGE [2]

  1. arXiv cs.CV TIER_1 · Yifeng Bai, Zhirong Chen, Erkang Cheng, Haibin Ling ·

    TopoHR: Hierarchical Centerline Representation for Cyclic Topology Reasoning in Driving Scenes with Point-to-Instance Relations

    arXiv:2604.24119v1 Announce Type: new Abstract: Topology reasoning is crucial for autonomous driving. Current methods primarily focus on instance-level learning for centerline detection, followed by a sequential module for topology reasoning that relies on simplified MLP layers. …

  2. arXiv cs.CV TIER_1 · Haibin Ling ·

    TopoHR: Hierarchical Centerline Representation for Cyclic Topology Reasoning in Driving Scenes with Point-to-Instance Relations

    Topology reasoning is crucial for autonomous driving. Current methods primarily focus on instance-level learning for centerline detection, followed by a sequential module for topology reasoning that relies on simplified MLP layers. Moreover, they often neglect the importance of \…