Unsynchronized scanning with a low-cost laser range finder for real-time range imaging

2017 ◽  
Author(s):  
Isa Hatipoglu ◽  
Arie Nakhmani
Keyword(s):  
Real Time ◽  
Low Cost ◽  
Time Range ◽  
Laser Range Finder ◽  
Range Finder ◽  
Range Imaging ◽  
Laser Range

A Study on Position Measurement System Using Laser Range Finder and its Application for Construction Work

2012 ◽  
Vol 24 (1) ◽  
pp. 226-234 ◽  
Author(s):  
Fumihiro Inoue ◽  
◽  
Takeshi Sasaki ◽  
Xiangqi Huang ◽  
Hideki Hashimoto ◽  
...  
Keyword(s):  
Measurement System ◽  
Low Cost ◽  
Least Square ◽  
Laser Range Finder ◽  
Range Finder ◽  
Construction Work ◽  
Position Measurement ◽  
Laser Range ◽  
High Efficient ◽  
Center Position

This paper describes a study of high accuracy and low cost position measurement system using Laser Range Finder (LRF), and its application for construction pile work. Since the LRF is a sensor which can measure distance to surfaces of objects by radiating laser beams from itself and receiving the reflected ones, an obtained data from the LRF are nothing more than the contours of objects. In proposed system, the obtained data from LRF assumed the arc-shaped contours of the bar, the center position was analyzed introducing the least square method and maximum likelihood estimation. The error between the analysis and the measurement corresponds enough to the allowable accurate range. Additionally, improving the angular resolution of the LRF by using a pan unit, the highest accurate center position was able to be acquired. Applying this system to the construction work, the high accurate pile marking and the pile drive positioning were recognized. Since this measurement was achieved by only a worker and the position and direction of the worker was easily found, the high efficient and short term works were surely performed.

Real-time laser range-finder operation modeling

2017 ◽  
Author(s):  
Dmitry A. Kolchaev ◽  
Yevgeniy R. Muratov ◽  
Michael B. Nikiforov ◽  
Sergei V. Orlov
Keyword(s):  
Real Time ◽  
Laser Range Finder ◽  
Range Finder ◽  
Laser Range

Research on Real-Time Laser Range Finding System

2013 ◽  
Vol 347-350 ◽  
pp. 1053-1058
Author(s):  
Fang Xiu Jia ◽  
Ji Yan Yu ◽  
Zhen Liang Ding ◽  
Feng Yuan
Keyword(s):  
Standard Deviation ◽  
Real Time ◽  
Amplitude Spectrum ◽  
Correction Method ◽  
Laser Range Finder ◽  
Range Finder ◽  
Measurement Standard ◽  
Laser Range ◽  
Frequency Correction ◽  
Better Than

Phase shift laser range finder, as a large-scale, high-precision measurement method, is widely used in industrial and military fields. The traditional laser range finder can not meet the need of real-time, high resolution measurement because of its low anti-jamming capability and time-consuming measurement. Owing to this, multi-channel transmitting and receiving system for phase shift laser range finder based on parallel DSP was designed. Multi-frequency modulation laser can be transmitted and received at the same time, improving the measurement speed and avoiding the wrong data fusion because of target moving. The distance was got by measuring the phase difference between the measurement signal and reference signal, and the Doppler velocity of the target is got by measuring the measurement signals frequency, The measurement signals reference signals were acquired by parallel AD convertors, the phase difference between them was calculated adopting all-phase FFT(apFFT). A new frequency correction method was proposed according to the amplitude spectrum acquired by apFFT, Amplitude spectrum is expanded into Taylor series and the correction value of frequency is calculated by relationship of spectrum lines. Monte Carlo simulation results proved that the new frequency correction method had higher resolution and better stability than Rife method and centro-baric method. The experiments is implemented on a precision guide of 3m-long, on the condition that the sampling frequency of AD converter is 937.5KHz, the apFFT transform point number is 4096, distance and velocity results can be obtained each 10ms, experiments prove that the distance measurement standard deviation better than 0.09mm and the velocity measurement standard deviation better than 0.022m/s are obtained. The system can meet the need of high accuracy ,real-time distance measurement of moving target.

scholarly journals Autonomous Road Roundabout Detection and Navigation System for Smart Vehicles and Cities Using Laser Simulator–Fuzzy Logic Algorithms and Sensor Fusion

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3694
Author(s):  
Mohammed A. H. Ali ◽  
Musa Mailah ◽  
Waheb A. Jabbar ◽  
Khaja Moiduddin ◽  
Wadea Ameen ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Path Planning ◽  
Real Time ◽  
Sensor Fusion ◽  
Navigation System ◽  
Laser Range Finder ◽  
Range Finder ◽  
Smart Vehicles ◽  
Laser Range ◽  
The Road

A real-time roundabout detection and navigation system for smart vehicles and cities using laser simulator–fuzzy logic algorithms and sensor fusion in a road environment is presented in this paper. A wheeled mobile robot (WMR) is supposed to navigate autonomously on the road in real-time and reach a predefined goal while discovering and detecting the road roundabout. A complete modeling and path planning of the road’s roundabout intersection was derived to enable the WMR to navigate autonomously in indoor and outdoor terrains. A new algorithm, called Laser Simulator, has been introduced to detect various entities in a road roundabout setting, which is later integrated with fuzzy logic algorithm for making the right decision about the existence of the roundabout. The sensor fusion process involving the use of a Wi-Fi camera, laser range finder, and odometry was implemented to generate the robot’s path planning and localization within the road environment. The local maps were built using the extracted data from the camera and laser range finder to estimate the road parameters such as road width, side curbs, and roundabout center, all in two-dimensional space. The path generation algorithm was fully derived within the local maps and tested with a WMR platform in real-time.

scholarly journals Dynamic Track Management in MHT for Pedestrian Tracking Using Laser Range Finder

2015 ◽  
Vol 2015 ◽  
pp. 1-9
Author(s):  
Abdul Hadi Abd Rahman ◽  
Hairi Zamzuri ◽  
Saiful Amri Mazlan ◽  
Mohd Azizi Abdul Rahman ◽  
Yoshio Yamamoto ◽  
...  
Keyword(s):  
Real Time ◽  
Autonomous Navigation ◽  
Tracking System ◽  
Computational Cost ◽  
Laser Range Finder ◽  
Tracking Problem ◽  
Range Finder ◽  
Pedestrian Tracking ◽  
Laser Range ◽  
Track Management

Real time pedestrian tracking could be one of the important features for autonomous navigation. Laser Range Finder (LRF) produces accurate pedestrian data but a problem occurs when a pedestrian is represented by multiple clusters which affect the overall tracking process. Multiple Hypothesis Tracking (MHT) is a proven method to solve tracking problem but suffers a large computational cost. In this paper, a multilevel clustering of LRF data is proposed to improve the accuracy of a tracking system by adding another clustering level after the feature extraction process. A Dynamic Track Management (DTM) is introduced in MHT with multiple motion models to perform a track creation, association, and deletion. The experimental results from real time implementation prove that the proposed multiclustering is capable of producing a better performance with less computational complexity for a track management process. The proposed Dynamic Track Management is able to solve the tracking problem with lower computation time when dealing with occlusion, crossed track, and track deletion.

scholarly journals DEVELOPMENT OF A NEW LOW-COST INDOOR MAPPING SYSTEM – SYSTEM DESIGN, SYSTEM CALIBRATION AND FIRST RESULTS

2016 ◽  
Vol XLI-B5 ◽  
pp. 55-62
Author(s):  
T. P. Kersten ◽  
D. Stallmann ◽  
F. Tschirschwitz
Keyword(s):  
Laser Scanning ◽  
Low Cost ◽  
Design System ◽  
Raspberry Pi ◽  
Test Field ◽  
Laser Range Finder ◽  
Range Finder ◽  
System Calibration ◽  
Laser Range ◽  
Mapping System

For mapping of building interiors various 2D and 3D indoor surveying systems are available today. These systems essentially differ from each other by price and accuracy as well as by the effort required for fieldwork and post-processing. The Laboratory for Photogrammetry & Laser Scanning of HafenCity University (HCU) Hamburg has developed, as part of an industrial project, a lowcost indoor mapping system, which enables systematic inventory mapping of interior facilities with low staffing requirements and reduced, measurable expenditure of time and effort. The modelling and evaluation of the recorded data take place later in the office. The indoor mapping system of HCU Hamburg consists of the following components: laser range finder, panorama head (pan-tilt-unit), single-board computer (Raspberry Pi) with digital camera and battery power supply. The camera is pre-calibrated in a photogrammetric test field under laboratory conditions. However, remaining systematic image errors are corrected simultaneously within the generation of the panorama image. Due to cost reasons the camera and laser range finder are not coaxially arranged on the panorama head. Therefore, eccentricity and alignment of the laser range finder against the camera must be determined in a system calibration. For the verification of the system accuracy and the system calibration, the laser points were determined from measurements with total stations. The differences to the reference were 4-5mm for individual coordinates.

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