Design of Yaw and Tilt Alignment Inspection System for a Low-Resolution 3D LiDAR Using Planar Target

Author(s):  
Seontaek Oh ◽  
Ji-Hwan Yu ◽  
Azim Eskandarian ◽  
Young-Keun Kim

Abstract It is crucial to attach a LiDAR (Light Detection and Ranging), a 3D sensor for a mobile platform such as robot and vehicle within the acceptable misalignment to detect the relative positions of surrounding obstacles accurately. This paper proposes a novel inspection method to estimate the yaw and tilt alignment of a LiDAR after the sensor attachment. The proposed method uses a planar target board to estimate the yaw and tilt angles of a low-resolution LiDAR with milli-degree precision. Experiments were conducted to evaluate the accuracy and precision of the proposed method with the designed test-bench that can control the reference pointing angle of the LiDAR from −10 to 10 degrees. The experiment results on Velodyne VLP-16, a low-resolution LiDAR with 16 channels, showed that the proposed system estimated the yaw and tilt angles within accuracy and precision of 0.1 degrees.

2021 ◽  
Author(s):  
Seontaek Oh ◽  
Ji-Hwan You ◽  
Azim Eskandarian ◽  
Young-Keun Kim

2021 ◽  
Vol 9 (7) ◽  
pp. 747
Author(s):  
Chen Chen ◽  
Ying Li

Safe and efficient berthing is essential to ensure maritime transportation and the safety of ships and ports. Three-dimensional (3D) light detection and ranging (LiDAR) can monitor and support ship berthing because it provides abundant target information and offers excellent advantages in measuring accuracy. Hence, a berthing information extraction system has been developed based on 3D LiDAR. Principal component analysis is used to calculate a ship’s heading and the normal vector, and the feature points of the bow and stern are determined. The segments passing through the points are obtained via region growing. The bow and stern are recognized by the similarity of the normal vector of the segments and ship’s heading according to the positions of the ship relative to the berth through visibility analysis. Qualitative and quantitative calculated analyses of the distance, velocity, and approach angle of the dynamic ship’s bow and stern relative to the dock are performed based on the feature points of 3D LiDAR data. A laser scanner, used as the detection unit, efficiently monitored the Ro–Ro ship Ocean Island berthing at Lushun Port in field experiments. On-site applications demonstrated the feasibility and effectiveness of the proposed method for the recognition of dynamic ship target and ensuring safe ship berthing.


2009 ◽  
Vol 24 (2) ◽  
pp. 95-102 ◽  
Author(s):  
Hans-Erik Andersen

Abstract Airborne laser scanning (also known as light detection and ranging or LIDAR) data were used to estimate three fundamental forest stand condition classes (forest stand size, land cover type, and canopy closure) at 32 Forest Inventory Analysis (FIA) plots distributed over the Kenai Peninsula of Alaska. Individual tree crown segment attributes (height, area, and species type) were derived from the three-dimensional LIDAR point cloud, LIDAR-based canopy height models, and LIDAR return intensity information. The LIDAR-based crown segment and canopy cover information was then used to estimate condition classes at each 10-m grid cell on a 300 × 300-m area surrounding each FIA plot. A quantitative comparison of the LIDAR- and field-based condition classifications at the subplot centers indicates that LIDAR has potential as a useful sampling tool in an operational forest inventory program.


Wind Energy ◽  
2012 ◽  
Vol 16 (3) ◽  
pp. 353-366 ◽  
Author(s):  
Knud A. Kragh ◽  
Morten H. Hansen ◽  
Torben Mikkelsen

2021 ◽  
pp. 1-1
Author(s):  
Chul-Soon Im ◽  
Sung-Moon Kim ◽  
Kyeong-Pyo Lee ◽  
Seong-Hyeon Ju ◽  
Jung-Ho Hong ◽  
...  

2012 ◽  
Vol 51 (8) ◽  
pp. 083609-1 ◽  
Author(s):  
Hajin J. Kim ◽  
Charles B. Naumann ◽  
Michael C. Cornell

2009 ◽  
Vol 77 ◽  
pp. 1-27 ◽  
Author(s):  
Rachel Opitz

La città romana di Falerii Novi e quella pre-romana di Falerii Veteres vengono riviste in questo articolo attraverso la combinazione di dati da ricognizione lidar (light detection and ranging) e geofisica. La ricognizione lidar fornisce per la prima volta infomiazioni dettagliate sui bordi topograficamente complessi di questi siti e ha permesso di identificare un certo numero di nuove strutture. Osservando tali strutture nel contesto dei dati topografici e geofisici, sono state esplorate le aree urbane periferiche sia come zone per movimento sia come facciate. Tramite questi esempi vengono considerati i potenziali contributi forniti dal lidar alla comprensione generale dell'urbanismo pre-romano e romano.


Author(s):  
Vinicius Conti da Costa ◽  
Bruno Ziegler Haselein ◽  
Filipe Barbosa Veras ◽  
Manoel Kolling Dutra ◽  
Tiago Pinto

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