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1, Introduction to SIFT registration SIFT, scale invariant feature transformation, is a description used in the field of image processing. This description has scale invariance and can detect key points in the image. It is a local feature descriptor. 1. SIFT algorithm features: (1) It has good stability and invariance, can adapt to the changes ...

The increasing popularity of cars not only brings great convenience to people, but also leads to congested traffic conditions and more frequent traffic accidents. Intelligent transportation technology has become an important force to promote the development of modern transportation technology. Intelligent transportation can not only provide rea ...

1, Foreword Polynomial curve fitting is often involved in the development of automatic driving. This paper describes in detail the mathematical principle of polynomial curve fitting using the least square method, constructs the vandermond matrix through the sample set, transforms the univariate N-th polynomial nonlinear regression problem ...

Random forest 1.1 overview of integration algorithm Integrated learning( ensemble learning )It is a very popular machine learning algorithm. It is not a single machine learning algorithm, but integrates the modeling results of all models by building multiple models on the data. Basically, integrated learning can be seen in all machine lea ...

1: Introduction         In the last article, we have a relative understanding of knn algorithm, and roughly understand the working principle and workflow of knn algorithm through a very simple example. This article will continue to analyze the knn Algorithm in depth to help understand the knn algorithm 2: Algorithm anal ...

1, Algorithm principle 1. Overview    due to the different fitting models according to the number of sampling points, the random consistent sampling algorithm can extract point cloud subsets with different shapes and states. Generally, the common model parameters are well fitted, the required sampling points are less, and the am ...

1, Algorithm principle 1. Principle overview    there will be some outliers in the breakpoint data, which may be caused by external factors such as noise. If these outliers participate in clustering, it will seriously affect the clustering results, so they must be removed. The outliers are removed by the method of removing radiu ...

Related blogs: Path planning in unstructured environments: a real time hybrid a * implementation Source code of hybrid A * algorithm based on dynamic constraints suitable for Ackerman chassis Hybrid A-star algorithm adds vehicle steering constraints on the basis of A-star algorithm 2 D ...

Reference link Original address https://github.com/paulQuei/a-star-algorithm?spm=a2c6h.12873639.0.0.21834662LgAvMP A * algorithm for path planning Algorithm Introduction A * (read: A Star) algorithm is a very common path finding and graph traversal algorithm. It has better performance and accuracy. While explaining the algorithm, this paper ...