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September 5, 2025Journal of Intelligent Transportation Systems

Road surface segmentation from multisource geospatial data for autonomous driving

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Authors

ZWZejiao WangLXLonggang XiangMWMeng Wang

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Overview

Proposes an adaptive network to enhance road surface segmentation, indicating improved performance in complex environments.

Key Points

  • The proposed model achieves a 13.22% improvement in IoU for road surface segmentation.
  • Leveraging multisource data enhances the completeness of road surface modeling significantly.
  • An innovative progressive feature fusion module addresses fragmented road surfaces effectively.
  • Experiments on two datasets demonstrate strong performance in segmentation accuracy and topological connectivity.

Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/68bb421a2b87ece8dc9586dfhttps://doi.org/10.1080/15472450.2025.2538239
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