Experimental Analysis of Vehicle-to-Vehicle Communication using Light Detection and Ranging (LIDAR) for Detection and Data Transmission

Prasetya, Dwieka Septian Arif; Arseno, Dharu; Pamukti, Brian; Vidyaningtyas, Hurianti

doi:10.1109/aims52415.2021.9466017

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…Light Detection And Ranging (LiDAR) is a space measurement technology that integrates laser ranging technology, Global Position System (GPS), and Inertial Navigation System (INS) into one [8][9][10]. The airborne LiDAR measurement system integrates laser technology, inertial navigation technology and GPS dynamic differential positioning technology.…”

Section: ) Composition and Working Principle Of Airborne Lidarmentioning

confidence: 99%

Research on 3D geometric modeling of urban buildings based on airborne lidar point cloud and image

Guo,

Dong

2024

Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023)

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Buildings are the most important elements in cities. Building urban building models is of great significance for the establishment of digital cities. The level of its modeling technology restricts the development of urban 3D modeling technology. In order to improve the accuracy of 3D geometric modeling of urban buildings and truly reflect the spatial layout of urban buildings, the 3D geometric modeling of urban buildings based on airborne LiDAR point cloud and image is studied. The airborne LiDAR and tilt photogrammetry technology are analyzed, and the airborne LiDAR point cloud data is filtered by using the two-level grid to eliminate the gross error, and the airborne LiDAR point cloud data is filtered by using the morphological filtering algorithm. Through the principle of spatial location, the spatial geographic location information of the oblique image is restored. Extract the step line feature of the urban building point cloud and the roof patch of the urban building, accurately register and locate the urban building model based on the inclined image, and combine the urban building texture map to realize the three-dimensional geometric modeling of the urban building. The experimental results show that the proposed method has good 3D geometric modeling effect of urban buildings, can truly reflect the spatial layout of urban buildings, and effectively improve the accuracy and efficiency of 3D geometric modeling of urban buildings.

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Section: ) Composition and Working Principle Of Airborne Lidarmentioning

confidence: 99%

Research on 3D geometric modeling of urban buildings based on airborne lidar point cloud and image

Guo,

Dong

2024

Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023)

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“…LiDAR VL53L0X consists of 940 nm laser VCSEL (vertical-cavity surface-emitting laser), VCSEL driver, and ranging sensor with advanced embedded micro controller. 28 LiDAR VL53L0X Measurements: 4.4 × 2.4 × 1.0 mm LiDAR VL53L0X Range: Measures absolute range up to 2 m in indoor environment (reported range is independent of the target reflectance) LiDAR VL53L0X is eye safe, has single power supply, I2C interface for device control and data transfer along with Xshutdown (reset) and interrupt GPIO. …”

Section: Selection Of Componentsmentioning

confidence: 99%

Development of LiDAR operated inventory control and assistance robot

Sharma¹,

Patange

Padalghare³

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part E:

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The cordial existence of robots and humans in the same workstation is an important aspect of the deployment of autonomous systems. Usually, robots are integrated with auxiliary sensors for monitoring the surroundings and tackling unexpected actions. The incorporation of LiDAR (light detection and ranging) and SLAM (simultaneous localization and mapping) has gained the researcher’s attention these days. The current study aims at developing a collision-free motion for an autonomous robot to ensure the least possible travel period at internodes. First, a SLAM-based algorithm for a static environment is proposed. A low-cost microcontroller Arduino UNO is used here along with LiDAR VL53L0X and is integrated with MATLAB to store and display the acquired data. The A* algorithm is used to navigate between the shortest paths on the obtained map. The robot is also integrated with radio frequency identification (RFID) sensors to automate the process. The proposed system would be useful for material handling, assistance, and cleaning purpose in large warehouses or households.

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Experimental Analysis of Vehicle-to-Vehicle Communication using Light Detection and Ranging (LIDAR) for Detection and Data Transmission

Cited by 2 publications

References 15 publications

Research on 3D geometric modeling of urban buildings based on airborne lidar point cloud and image

Research on 3D geometric modeling of urban buildings based on airborne lidar point cloud and image

Development of LiDAR operated inventory control and assistance robot

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