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TransParking: A Dual-Decoder Transformer Framework with Soft Localization for End-to-End Automatic Parking

arXiv — cs.CV•Wednesday, November 12, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
The recent publication of TransParking highlights a significant advancement in automatic parking technology, a critical area within intelligent transportation systems. This vision-based transformer model utilizes expert trajectories for training, enabling it to predict future vehicle trajectories with remarkable accuracy. The experimental results indicate a 50% reduction in prediction errors compared to the current leading algorithms, showcasing its effectiveness. This innovation not only contributes to the ongoing research in autonomous driving but also addresses the practical challenges faced in complex parking environments, making it a vital step towards fully differentiable automatic parking solutions.
— via World Pulse Now AI Editorial System
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