Evaluasi Geometri Jalan Menggunakan Uav Dengan Aplikasi Agisoft Photoscanner Pada Jalan Meranti Kampus IPB Dramaga

There are various road construction projects in Indonesia, but most of these projects still use conventional methods in evaluating road geometry. This study aims to evaluate the geometry of the road using UAV and analyze the accuracy and accuracy of photogrammetry in the evaluation of road geometry. This research took place at Dramaga's IPB Campus on Meranti street and was conducted from April to July 2019. From a series of processes that have been carried out it can produce accuracy of measuring 97,243% and 98,296% across the road for orthophoto results without and with coordinate correction and using GCP. For accuracy in this study obtained a value of 0.858 m so that it can be concluded that the data processing map is included in the class 3 horizontal accuracy. The horizontal alignment parameters analyzed in this study are bend angles, turn radius, and turn length, there are two curves analyzed. For the value of each parameter each turn successively for data without coordinate correction and elevation is 149 °; 90 °; 40.61 m; 53.75 m; 23.39 m; 90.71 m. The results of horizontal alignment analysis for data with coordinate correction are 150 °; 88 °; 30.81 m; 49.34 m; 21.39 m; 89.3 m. The vertical alignment analyzed in this study has two parameters, namely vertical curvature and slope. The value of the analysis results for the two parameters of the two points for results with correction and without correction of coordinates are 16.08%, 17.22%, 53 m, 51 m and 6.88%, 3.77%, 53 m, and 51 m .

A Study of Correction to the Point Cloud Distortion Based on MEMS LiDAR System

Active imaging technology can perceive the surrounding environment and obtain three-dimensional information of the target. Among them, light detection and ranging (LiDAR) imaging systems are one of the hottest topics in the field of photoelectric active imaging. Due to the small size, fast scanning speed, low power consumption, low price and strong anti-interference, a micro-electro-mechanical system (MEMS) based micro-scanning LiDAR is widely used in LiDAR imaging systems. However, the imaging point cloud will be distorted, which affects the accurate acquisition of target information. Therefore, in this article, we analyzed the causes of distortion initially, and then introduced a novel coordinate correction method, which can correct the point cloud distortion of the micro-scanning LiDAR system based on MEMS. We implemented our coordinate correction method in a two-dimensional MEMS LiDAR system to verify the feasibility. Experiments show that the point cloud distortion is basically corrected and the distortion is reduced by almost 72.5%. This method can provide an effective reference for the correction of point cloud distortion.

Investigation of the electric drive system of the lifting unit with parallel coordinate correction

In the presented publication, the issues of improving the energy efficiency of the electric drive system, in relation to mine lifting installations, are considered. A block diagram of the electric drive system of a mine lifting installation with parallel coordinate correction is considered, as well as a mathematical description of the presented system. It should be noted that the conducted research will significantly affect the improvement of the level of safety and accident-free operation of the mine lifting plant, which will increase the competitiveness of coal mining by underground method.

Algorithm for Correcting Target Coordinates in the Information-Measuring System of a Radar Station Based on Information about Spatial Orientation

Introduction. The concepts of constructing promising radar systems (radars) show that these will be integral type complexes. The creation of such systems implies the presence in their composition of an information system consisting of channels that produce a functionally completed procedure for processing signals and information to solve a definite task.Aim. Development of a target coordinate correction algorithm based on spatial orientation information.Materials and methods. The tasks were solved by methods of mathematical analysis and numerical modeling. To justify reliability and performance of the proposed algorithm, a model was developed. The model allowed one to obtain accuracy characteristics of the algorithm.Results. As a result of the simulation, the accuracy characteristics of the target coordinate correction algorithm based on spatial orientation information were investigated. It determines the quality of building of the target trajectory and the quality of the target tracking system. The structure and the description of the developed algorithm were given, an implementation option was shown. The results of estimation of the accuracy of the algorithm were presented.Conclusion. As a result of the analysis of the target coordinate correction algorithm based on information about the target’s spatial orientation, as well as modeling of its operation, a conclusion about the reliability and the performance of the proposed algorithm was drawn The presented data of experimental studies on the accuracy characteristics of the proposed algorithm showed the feasibility of the decisions made. The presented results allow one to determine the most appropriate and effective way to develop simplified versions of the algorithm.

Fast Online Coordinate Correction of a Multi-Sensor for Object Identification in Autonomous Vehicles

Multi-sensor perception systems may have mismatched coordinates between each sensor even if the sensor coordinates are converted to a common coordinate. This discrepancy can be due to the sensor noise, deformation of the sensor mount, and other factors. These mismatched coordinates can seriously affect the estimation of a distant object’s position and this error can result in problems with object identification. To overcome these problems, numerous coordinate correction methods have been studied to minimize coordinate mismatching, such as off-line sensor error modeling and real-time error estimation methods. The first approach, off-line sensor error modeling, cannot cope with the occurrence of a mismatched coordinate in real-time. The second approach, using real-time error estimation methods, has high computational complexity due to the singular value decomposition. Therefore, we present a fast online coordinate correction method based on a reduced sensor position error model with dominant parameters and estimate the parameters by using rapid math operations. By applying the fast coordinate correction method, we can reduce the computational effort within the necessary tolerance of the estimation error. By experiments, the computational effort was improved by up to 99.7% compared to the previous study, and regarding the object’s radar the identification problems were improved by 94.8%. We conclude that the proposed method provides sufficient correcting performance for autonomous driving applications when the multi-sensor coordinates are mismatched.

IMPROVEMENTS IN LIDAR BATHYMETRY DATA ANALYSIS

<p><strong>Abstract.</strong> Airborne Lidar Bathymetry is a laser scanning technique to measure waterbody bottom topography in shallow waterbodies with limited turbidity. The topic has recently gained relevance due to the advent of new sensor technologies allowing for much higher spatial resolution in bathymetry data capture and due to guidelines demanding regular monitoring of waterbodies. In our contribution, we focus on three important aspects of lidar bathymetry: In the first part, systematic effects of wave patterns will be analysed in order to derive waterbody coordinate correction terms. In the second part, we will apply waveform-stacking techniques to enhance the detectability of water bottom points in lidar bathymetry full waveform signals. In the third part, a dedicated full wave-form analysis procedure is shown, which allows for deriving turbidity information from the decay of the signal intensity in the waterbody.</p>

Method of improving large-scale measurement accuracy of laser tracker based on photogrammetry

Background: When performing the spatial large-scale measurements, the measurement accuracy of laser tracker would decreased with the increase of the measurement distances due to the refraction difference of most optical digital measurement devices. Therefore, this paper proposed a method based on photogrammetry system to improve the large-scale measurement accuracy of the laser tracker. Purpose: The purpose of this method is to improve the large-scale measurement accuracy of the laser tracker by considering the advantages of photogrammetry system such as high measurement accuracy and good portability. Methods: The measurement data from the photogrammetry system would be used as a reference to do correction on measurement results from laser tracker. The coordinate correction method based on Rodrigues’ rotation formula has been discussed. The measurement accuracy of the long-distance point of laser tracker can be significantly improved through the coordinate correction method. Conclusion: Based on the advantages of using photogrammetry system, the proposed method can achieve higher accuracy when measuring the common points at a closer distance than the laser tracker can do when measuring objects far away from instrument. The feasibility of the proposed method has been demonstrated by experiment.

IMPLEMENTING METHODS OF HIGH-PRECISION POSITIONING ON INLAND WATER WAYS OF THE RUSSIAN FEDERATION

The article discusses communication facilities for transmitting corrections and ephemeris data, analyzes methods of calculating errors of satellite position finding, and gives results of field tests for determining accuracy of the location for Real Time Kinematic and Precise Point Positioning modes. There has been carried out a survey of the existing functioning differential satellite subsystems, satellite differential correction and monitoring systems. The methods of differential coordinate correction currently used on the inland water transport provide accuracy within 1-5 meters. As in the unmanned mode the given accuracy is not sufficient, there appears the need to develop methods for calculating location finding with centimeter precision. Precise positioning relative to the axis of the ship's course will make it possible to control the vessel in the unmanned mode, as well as to use robotic facilities on water transport capable of making safe voyages on a set of waypoints tied to geographical coordinates.