A duplex transform heterogeneous feature fusion network for road segmentation
Zhiyang Guo,
Xing Hu,
Jiejia Wang
et al.
Abstract:Detecting roads in automatic driving environments poses a challenge due to issues such as boundary fuzziness, occlusion, and glare from light. We believe that two factors are instrumental in addressing these challenges and enhancing detection performance: global context dependency and effective feature representation that prioritizes important feature channels. To tackle these issues, we introduce DTRoadseg, a novel duplex Transformer-based heterogeneous feature fusion network designed for road segmentation. D… Show more
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