Principle and method of laser rangingThe laser ranging coarse divided into two kinds, the first principle is roughly half the product of the speed of light and round-trip time, is the distance between the rangefinder and the measured object, taking the laser rangefinder as an example; the second is a method based on the principle of laser displacement sensor.There are roughly three methods of laser measurem
automation of manual focus: Turning the focusing ring (to drive the focus lens), observing the viewfinder, and observing that the focal point stops focusing.There is another manual focus method (using a rangefinder or an estimate) to measure the distance from the camera film to the body, and then rotate the focusing ring according to the lens ruler. This method, known as the scale focus, is less used with the popularity of macular focus and SLR came
Making good apps is no doubt the ultimate goal that every product manager has ever dreamed of, and what are the key points that will make the app stand out from the success of the iOS platform? Let's summarize below.
delightful- intuitive simplicity
Applications need to be simple, intuitive but difficult and fun (e.g. game cut the rope and gourmet app Jamie Oliver)
innovative– Pursuit of innovation
For example, the game flight control, the absolute classic line-up gam
Human body detection using rgb-d dataLucianospinello, Kai O. ArrasSummaryHuman detection is an important problem in robotics and intelligent systems. Previous research was done using cameras and 2D or 3D rangefinder. In this paper, we propose a new method of human body detection using rgb-d. We drew inspiration from hog (histogram of orientedgradients) and designed a method for detecting the human body in dense depth data, called the depth direction h
target point is found, the robot moves to the nearest point in the destination point that has not been visited.
Each time a target point is accessed, the point is added to the linked list that has been visited. and generate a new evidence lattice.
If the boundary target point cannot be reached after a period of time, add the point to the list of inaccessible frontiers. Again, 360 scans, heading down a little.
Experiment:
The robot is equipped with 1 laser
(Amap.mousetool)There are 9 kinds of mouse tools, and there is a chestnut in one swoop.Add Mouse toolMapobj.plugin (["Amap.mousetool"],function() { // Mouse Tool plug-in new Amap.mousetool (mapobj); });Chestnut 1: Mouse snap tool// Use the mouse tool to draw marker points on the mapChestnut 2: Mouse ranging ToolMousetool.measurearea ();Chestnut 3: Mouse Draw RoundMousetool.circle ();Chestnut 4: Mouse Draw RectangleMousetool.rectangle ();..................After a f
information directly using the rangefinder, to infer three-dimensional information through an image and to recover three-dimensional information by using two or more images on different viewpoints. By simulating the human visual system, the position deviation between the corresponding points of the image is obtained based on the Parallax principle, and the three-dimensional information is recovered. S.T.BARNARD[9] and other people on the the 1970s to
the PX values used in the ranging formula under the measured distance. Then, the parameters are determined by curve fitting.
The specific operations in this part will be described in the subsequent preparation/correction process.
Low-cost 3D Lidar
This part will be introduced in the next article.
References
[1]Details of the laser range finder
Http://www.eng.buffalo.edu/ubr/ff03laser.php
[2]Webcam based DIY laser rangefinder
Http://sites.google.com/s
A good App is undoubtedly the ultimate goal of every product manager. What are the key points that will make the App stand out on the iOS platform? The following is a summary.
Delightful-IntuitiveConcise
Applications need to be simple, intuitive, but difficult and interesting (for example, game Cut the Rope and food application Jamie Oliver)
Innovative-pursuing innovation
For example, the flight control game is an absolutely classic dash game. You can use your hands to draw a flight route for
Deep learning is one of the most important research directions for us, and it is also a necessary tool for the industry to realize a lot of amazing functions and the path to artificial intelligence.Let's take a look at what deep learning can do, the drone of Google research, whose components are made up of two parts, one eye, one brain, a laser rangefinder and a video camera, and the car is not very well recognized after the video signal is collected,
previous iterative calculations. Choose the best hypothesis distribution, that is, the low-weight particles disappear and the new particles are generated. In the update step, the scanned line is added to the map, and when the barrier appears, the set of adjustment points is drawn around the barrier point, rather than just one orphan point. Comparison of the slam algorithms of various laser rangefinder:(6)cartographerCartographer is Google's
lenses) and ai-p lenses.
Non-CPU lenses are available for mode m, but camera exposure metering will not be available. When the maximum aperture of lens is F6.5 or above, electronic rangefinder can be applied.
13, focus area: Face Priority AF, wide area AF, standard area AF, object tracking AF
14, focus on the number: 11 points
15, Zoom mode: Change ring
16, other functions: Display function, screen rotation, optical viewfinder, electronic contro
pair of pliers that can be Zhang He at the end of the arm. PR2 relies on the bottom of the four wheels to move. High-resolution cameras, laser rangefinder, inertial measurement units, tactile sensors, and a wide range of sensor devices are installed on the head, chest, elbows and pliers of PR2. At the bottom of the PR2, there are two 8-core computers that are the control and communication hub of the robot's hardware. Two computers are installed with
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