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August 19, 2025Transactions on Computer Science and Intelligent Systems ResearchOpen Access

Collaborative Optimization of Multi Modal Sensing Fusion and Visual Navigation

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Authors

PHPengyuan HeJLJiachen LiYMYouxin Mao

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Overview

Collaborative framework reduces localization error by 40% in autonomous vehicles, suggesting enhanced navigation reliability.

Key Points

  • Localization error reduced by 40% demonstrates the effectiveness of multi-modal sensing fusion strategies in visual navigation.
  • 3D detection accuracy improves by 15% using deep learning techniques on KITTI datasets for better performance.
  • The collaborative optimization framework integrates data from various sensors, including LiDAR, radar, and IMU for comprehensive analysis.
  • Challenges in dynamic adaptability and future directions highlight the ongoing need for advanced techniques in multi-modal fusion.

Cite This Study

He et al. (2025) studied this question.

synapsesocial.com/papers/68af55ccad7bf08b1eadc291https://doi.org/10.62051/1gzs4354
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