Terrain‐referenced navigation using a steerable‐laser measurement sensor

Navigation ◽  
2021 ◽  
Author(s):  
Jason D. Carroll ◽  
Aaron J. Canciani
Keyword(s):  
Laser Measurement ◽  
Measurement Sensor ◽  
Terrain Referenced Navigation

Automatic compensation method for beam drift in long-distance laser measurement

2020 ◽  
Vol 28 (11) ◽  
pp. 2393-2402
Author(s):  
Bin-he YANG ◽  
◽  
Yin-di CAI ◽  
Zhi-xiang WEN ◽  
Si-ying LING
Keyword(s):  
Compensation Method ◽  
Laser Measurement ◽  
Automatic Compensation ◽  
Long Distance

scholarly journals Ant-Mutated Immune Particle Filter Design for Terrain Referenced Navigation with Interferometric Radar Altimeter

2021 ◽  
Vol 13 (11) ◽  
pp. 2189
Author(s):  
Suktae Kang ◽  
Myeong-Jong Yu
Keyword(s):  
Immune System ◽  
Particle Filter ◽  
Measurement Errors ◽  
Filter Design ◽  
Sar Interferometry ◽  
Low Grade ◽  
Radar Altimeter ◽  
Terrain Referenced Navigation ◽  
Auxiliary Particle ◽  
Auxiliary Particle Filter

This study aims to design a robust particle filter using artificial intelligence algorithms to enhance estimation performance using a low-grade interferometric radar altimeter (IRA). Based on the synthetic aperture radar (SAR) interferometry technology, the IRA can extract three-dimensional ground coordinates with at least two antennas. However, some IRA uncertainties caused by geometric factors and IRA-inherent measurement errors have proven to be difficult to eliminate by signal processing. These uncertainties contaminate IRA outputs, crucially impacting the navigation performance of low-grade IRA sensors in particular. To deal with such uncertainties, an ant-mutated immune particle filter (AMIPF) is proposed. The proposed filter combines the ant colony optimization (ACO) algorithm with the immune auxiliary particle filter (IAPF) to bring individual mutation intensity. The immune system indicates the stochastic parameters of the ACO, which conducts the mutation process in one step for the purpose of computational efficiency. The ant mutation then moves particles into the most desirable position using parameters from the immune system to obtain optimal particle diversity. To verify the performance of the proposed filter, a terrain referenced navigation (TRN) simulation was conducted on an unmanned aerial vehicle (UAV). The Monte Carlo simulation results show that the proposed filter is not only more computationally efficient than the IAPF but also outperforms both the IAPF and the auxiliary particle filter (APF) in navigation performance and robustness.

Error analysis on laser measurement device of airborne LIDAR

2007 ◽  
Author(s):  
Jianwei Wu ◽  
Hongchao Ma ◽  
Qi Li ◽  
Zongyue Wang ◽  
Xin Yu
Keyword(s):  
Error Analysis ◽  
Airborne Lidar ◽  
Laser Measurement ◽  
Measurement Device

Totally passive wireless biopotential measurement sensor by utilizing inductively coupled resonance circuits

2010 ◽  
Vol 157 (2) ◽  
pp. 313-321 ◽  
Author(s):  
J. Riistama ◽  
E. Aittokallio ◽  
J. Verho ◽  
J. Lekkala
Keyword(s):  
Measurement Sensor ◽  
Inductively Coupled

Paper 6: Design Tolerances in Laser Measurement Systems

1968 ◽  
Vol 183 (4) ◽  
pp. 29-33
Author(s):  
W. R. C. Rowley ◽  
D. C. Wilson
Keyword(s):  
Laser Source ◽  
Laser Measurement ◽  
Measurement Systems ◽  
Interferometric Measurement

Interferometric measurement of length by fringe-counting, using a laser source, is a precision technique suitable for both engineering and laboratory applications. The limitations of such systems, in respect of speed and straightness of movement, are considered. Equations are given to assist the specification of the optical requirements and mechanical tolerances.

scholarly journals A Laser-Based Direct Cable Length Measurement Sensor for CDPRs

Robotics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 60
Author(s):  
Christoph Martin ◽  
Marc Fabritius ◽  
Johannes T. Stoll ◽  
Andreas Pott
Keyword(s):  
Mechanical Design ◽  
Parallel Robots ◽  
Length Measurement ◽  
Cable Length ◽  
Measurement Sensor ◽  
Important Research Topic ◽  
Measurement Principle ◽  
Laser Distance Sensor ◽  
Distance Sensor ◽  
The One

Accuracy improvement is an important research topic in the field of cable-driven parallel robots (*CDPRS). One reason for inaccuracies of *CDPRS are deviations in the cable lengths. Such deviations can be caused by the elongation of the cable due to its elasticity or creep behavior. For most common *CDPRS, the cable lengths are controlled using motor encoders of the winches, without feedback about the actual elongation of the cables. To address this problem, this paper proposes a direct cable length measurement sensor based on a laser distance sensor. We present the mechanical design, the first prototype and an experimental evaluation. As a result, the measurement principle works well and the accuracy of the measured cable lengths is within −2.32 mm to +1.86 mm compared to a range from −5.19 mm to +6.02 mm of the cable length set with the motor encoders. The standard deviation of the cable length error of the direct cable length measurement sensor is 58% lower compared to the one set with the motor encoders. Equipping all cables of the cable robot with direct cable length measurement sensors results in the possibility to correct cable length deviations and thus increase the accuracy of *CDPRS. Furthermore, it enables new possibilities like the automatic recalibration of the home pose.

A New Speed Measurement Sensor Using Difference Structure

2014 ◽  
Vol 47 (3) ◽  
pp. 8451-8456 ◽  
Author(s):  
Fengshan Dou ◽  
Chunhui Dai ◽  
Zhiqiang Long
Keyword(s):  
Measurement Sensor ◽  
Speed Measurement
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