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Published:
经典卡尔曼滤波的主要公式如下:
Published:
embedding可能首先出现在NLP领域。网上搜索embedding,结果中有很多word embeddings相关的内容。接着embedding逐渐扩散成为机器学习中的一个经典概念。
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这篇文章的思路是讲分割与检测结合起来,用分割来提升检测的精度,并且能免除掉NMS等操作;
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Here are some papers of LiDAR perception based on deep learning methods.
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由于网上关于点云特征的文章、博文讲述较为混乱,而质量又良莠不齐。因此决定自己写一个主要特征的总结记录。
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参考概率机器人,结合基于激光做目标跟踪的应用,对KF和EKF做一个简单的记录。
Published in Journal 1, 2018
This paper focuses on rectangle fitting for model-based vehicle, which proposed an on-road rectangle fitting and concavity determination method to improve the robustness of object detection.
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