coursera robotics

Trajectory planning is a top-level problem in robotics, and its main goal is to plan the robot to move from A to B and avoid all obstacles.1. The object of the trajectory planThe trajectory planning object is map, after the robot obtains the map through the slam, it can select any two points in the maps for trajectory planning. For the time being, three-dimensional map is not considered, and the map mainly has the following types:　　As shown above, the

correspond to ALPHA*V1. The third column should correspond to the pixel coordinates of gama* "a". Alpha Beta Gama is a constant. "The coordinates after the projective change should be constant multiplied by the second coordinate".If Alpha Beta Gama can be solved, then we get the projective transformation matrix. Obviously the pixel coordinates of C point are brought into the equation, we have 3 equations, 4 unknowns (introduced a lamda). But Lamda does not affect, in addition to the past, we ju

range, because Sigma describes the scale, the location of the feature point + the scale = The local information of the feature point. On this basis, the gradient direction of all the pixels in the field is counted, and the hog feature is constructed by the direction statistic histogram as the eigenvector. It is important to align the main direction of the image and the x-axis direction before the direction of the statistic. As follows:　　The yellow something like a clock is a feature point +scal

information, and the columns represent constraintsEach row is the error of a point in that position, and each column represents the partial derivative of the F pair of X components.　　Q x c are variables, q is the rotation of four elements, X is three-dimensional point space coordinates, and c is the coordinates of the camera's center of light in the world coordinate system. J can be divided into three parts, the first 4 columns represent the derivation of rotation, the middle three column repre

configuration Space.The essence of this algorithm is the Monte Carlo algorithm. This makes it easy to parallelize on the GPU. The biggest difficulty is still in the non-free Area inspection section ...　　The green point is a random sampling point.2. RRT algorithm for generating one-time path in spaceMost of the time, we don't need to generate an entire map that can be reused, and we need to find a moving path in space. For example, an unmanned car from a to B, we only need to generate a single p

September 23, the North Branch day painting Company in Zhongguancun Software Park held a product launch, launched two new LiDAR products, of which r-fans-32 is the history of the smallest 32-line LiDAR, C-rans is currently the highest number of local field laser radar. R-fans is a navigation-based LiDAR developed by North Dakota for autonomous driving, intelligent robotics, unmanned mapping and SLAM applications. R-fans-16 and r-fans-32 have the char

the success. delay Start Long connection The long connection above the pattern, there is a small flaw, I must be connected to the server when switching long connections, but my software may not be read immediately, it may be a long time before starting to read data, so this component also supports the manual setting of long connections, until the first time to read the data to start the connection server, The subsequent operation is consistent with the above. The whole logic is like this.

! I've been on this course 3 years ago, and it's been a long time ... Before going to bed to see this question, the day before yesterday wrote an article about learning Python in Coursera, just right question, so excerpt part, hope to be helpful:-) Let's talk about the process of learning Python in Coursera (and recommend this interesting professor, who wants to learn about Python). This is the 0 basic Py

friends leave a message saying they are already charged. Let's go to the official website and check it out! I have taken this course three years ago. It takes a long time ...... I saw this problem before I went to bed. I wrote an article about learning python in coursera the day before yesterday, which is just the right question. So I want to extract some of it and hope it will help me :-) Next, let's talk about how I learned python on

Programmers who have turned to AI have followed this number ☝☝☝ Author: Lisa Song Microsoft Headquarters Cloud Intelligence Advanced data scientist, now lives in Seattle. With years of experience in machine learning and deep learning, we are familiar with the requirements analysis, architecture design, algorithmic development and integrated deployment of machine learning and AI products under various business scenarios. Wunda Coursera Deep Learni

This article mainly introduces the detailed process of Python crawling Coursera course resources. For more information, see some typical things, some Coursera courses are undoubtedly classic. Most of Coursera's finishing courses provide complete teaching resources, including ppt, video, and subtitles. it is very easy to learn offline. Obviously, we won't download a file or a file. it's just a fool. programm

Sometimes we need to collect some classic things, always aftertaste, and Coursera on some of the courses is undoubtedly classic. Most of the completed courses in Coursera provide a complete set of teaching resources, including PPT, video and subtitles, which will be very easy to learn when offline. It is obvious that we will not go to a file to download a file, Only fools do so, programmers are smart! What

friends, but also hope to get the high people of God's criticism!　　 　　 　　Preface　　[Machine Learning] The Coursera Note series was compiled with notes from the course I studied at the Coursera learning (Andrew ng teacher). The content covers linear regression, logistic regression, Softmax regression, SVM, neural networks, and CNN, among other things, and the main learning materials are from the machine lear

of:sum(dat$Zip*dat$Ext,na.rm=T)(Original data Source:http://catalog.data.gov/dataset/natural-gas-acquisition-program)Question 4Read the XML data on Baltimore restaurants from here:Https://d396qusza40orc.cloudfront.net/getdata%2Fdata%2Frestaurants.xmlHow many restaurants has zipcode 21231?Question 5The American Community Survey distributes downloadable data about the states communities. Download The 2006 microdata survey about housing for the state of Idaho using Download.file () from here:Https

Sometimes we need to put some classic things in the collection, always aftertaste, and Coursera on some of the courses are undoubtedly classic. Most of the end courses in Coursera provide a complete set of teaching resources, including PPT, video and subtitles, which will be very easy to learn when offline. Obviously, we will not go to a file to download a file, Only fools do so, programmers are smart! Wha

In China, Coursera is very choppy and often gets stuck when playing half of the video. I don't know why. Therefore, you can only download the file and view it again. There is a script on GitHub to open the link to download the entire course. It is very convenient to use. The method is as follows. Because this script uses multiple Python libraries, it is best to use the Linux system. I use Debian Wheezy and python2.7.3. Of course, you need a

Label: Ar c working time r as Rom net 5CATEGORY first, 1. skill category; 2. improvement category; 3. Interest category.I have completed the first six courses of Andrew Ng ml, UW computer network, and dataset cience on Coursera.In the future, the service will be guaranteed to be 25 hours a week, with an average of 2.5-3 hours per working day and 11 hours on weekends. In this way, three courses can be conducted at the same time in less than ten weeks, it also needs to be arranged according to the

Coursera-getting and Cleaning Data-week4Thursday, January,Make up the fourth week notes, and this course summary.The four-week course focuses on text processing. Inside includes1. Handling of variable names 2. Regular Expression 3. Date processing (see Swirl lubridate package exercise)First, the processing of variable names, followed by two principles, 1) uniform case tolower/toupper;2) Remove the import data, because special characters caused by the

Coursera Andrew Ng Machine learning is really too hot, recently had time to spend 20 days (3 hours a day or so) finally finished learning all the courses, summarized as follows:(1) Suitable for getting started, speaking the comparative basis, Andrew speaks great;(2) The exercise is relatively easy, but to carefully consider each English word, or easy to make mistakes;(3) I am using MATLAB to submit the programming job, because of the MATLAB command is

Took a course on software security at Coursera. Here is a list of readings from the professor:Week 1ReadingsRequired ReadingThe only required reading this week is the following: Common Vulnerabilities Guide for C programmers. Take note of the unsafe C library functions listed here, and how they is the source of the buffer overflow vulnerabilities. This list is relevant for the project and this week ' s quiz. (Reference) Memory layout. Exp