A Survey of Mobile Laser Scanning Applications and Key Techniques over Urban Areas

Wang, Yanjun; Chen, Qi; Zhu, Qing; Liu, Lin; Li, Chaokui; Zheng, Dunyong

doi:10.3390/rs11131540

Cited by 106 publications

(86 citation statements)

References 164 publications

(253 reference statements)

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“…The incorporation of various types of sensor data improves spatial data accuracy, minimizes data processing complexities, and enables automated operations. Combining UAVs and MLSs provide the innovative advantage of automated operations through UAV outputs, permitting identification and the ability to focus on Earth objects from different heights and directions [5,7,21,22]. This increases flexibility so that any type of photo or lens can be used.…”

Section: Introductionmentioning

confidence: 99%

Information Fusion for Cultural Heritage Three-Dimensional Modeling of Malay Cities

Ibrahim

Abdullah

2020

IJGI

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Malaysia’s heritage structures are facing challenges due to rapid local development and societal challenges that threaten their cultural and artistic values. Improving conservation approaches in this context is an urgent and crucial task. The application of geo-information technologies in laser scanning, photogrammetry, and geographic information systems (GISs) has significantly improved these conservation approaches. In this study, we fused drone images and range data from a laser scanner to construct a high-resolution three-dimensional GIS city model for one traditional Malay settlement located in Malaysia. The results showed that fusing photogrammetry and laser scanning can effectively capture the architectural uniqueness of Malay buildings, including specific façade geometries on walls, roofs, and motifs. The findings show that the development of various geoinformation approaches can assist with the conservation of Malay city heritage in this region.

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Section: Introductionmentioning

confidence: 99%

Information Fusion for Cultural Heritage Three-Dimensional Modeling of Malay Cities

Ibrahim

Abdullah

2020

IJGI

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“…(1) maintaining reliability and (2) improving fault-tolerance, where fault detection and isolation (FDI) is required [9]. In [10], Wang et al studied an autonomous vehicle driving system to achieve such applications. Several key issues including object recognition, classification methods, data registration, data fusion and 3D city modeling were concerned.…”

Section: Introductionmentioning

confidence: 99%

“…In complex and changing urban areas, new mobile laser scanning (MLS) systems will be considered for applications. Furthermore, developing rapid, automated and intelligent techniques is required by using machine learning-based methods and a special processing framework [10]. Gao et.…”

Section: Introductionmentioning

confidence: 99%

Mechatronics and Remote Driving Control of the Drive-by-Wire for a Go Kart

Lin

Wang

2020

Sensors

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This research mainly aims at the construction of the novel acceleration pedal, the brake pedal and the steering system by mechanical designs and mechatronics technologies, an approach of which is rarely seen in Taiwan. Three highlights can be addressed: 1. The original steering parts were removed with the fault tolerance design being implemented so that the basic steering function can still remain in case of the function failure of the control system. 2. A larger steering angle of the front wheels in response to a specific rotated angle of the steering wheel is devised when cornering or parking at low speed in interest of drivability, while a smaller one is designed at high speed in favor of driving stability. 3. The operating patterns of the throttle, brake, and steering wheel can be customized in accordance with various driving environments and drivers’ requirements using the self-developed software. The implementation of a steer-by-wire system in the remote driving control for a go kart is described in this study. The mechatronic system is designed in order to support the conversion from human driving to autonomous driving for the go kart in the future. The go kart, using machine vision, is wirelessly controlled in the WiFi frequency bands. The steer-by-wire system was initially modeled as a standalone system for one wheel and subsequently developed into its complete form, including front wheel steering components, acceleration components, brake components, a microcontroller, drive circuit and digital to analog converter. The control output section delivers the commands to the subsystem controllers, relays and converters. The remote driving control of the go kart is activated when proper commands are sent by the vehicle control unit (VCU). All simulation and experiment results demonstrated that the control strategies of duel motors and the VCU control were successfully optimized. The feasibility study and performance evaluation of Taiwan’s go karts will be conducted as an extension of this study in the near future.

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“…Given the MLS efficiency, it is expected that the object types and extraction methodologies from the gathered point clouds will continue to increase [26]. This will result in a large amount of existing point clouds covering the entire road pavement.…”

Section: Introductionmentioning

confidence: 99%

Road Rutting Measurement Using Mobile LiDAR Systems Point Cloud

Gézero

Antunes

2019

IJGI

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Road rutting caused by vehicle loading in the wheel path is a major form of asphalt pavement distress. Hydroplaning and loss of skid resistance are directly related to high road rutting severity. Periodical measurements of rut depth are crucial to maintenance and rehabilitation planning. In this study, we explored the feasibility of using point clouds gathered by Mobile LiDAR systems to measure the rut depth. These point clouds that are collected along roads are usually used for other purposes, namely asset inventory or topographic survey. Taking advantage of available clouds to identify rutting severity in critical pavement areas can result in considerable economic and time saving and thus, added value, when compared with specific expensive rut measuring systems. Four different strategies of cloud points aggregation are presented to create the cross-section of points. Such strategies were established to improve the precision of individual sensor measurements. Despite the 5 mm precision of the used system, it was possible to estimate rut depth values that were slightly inferior. The rut depth values obtained from each cross-section strategy were compared with the manual field measured values. The cross-sections based on averaged cloud points sensor profile aggregation was revealed to be the most suitable strategy to measure rut depth. Despite the fact that the study was specifically conducted to measure rut depth, the evaluation results show that the methodology can also be useful for other mobile LiDAR point clouds cross-sections applications.

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A Survey of Mobile Laser Scanning Applications and Key Techniques over Urban Areas

Cited by 106 publications

References 164 publications

Information Fusion for Cultural Heritage Three-Dimensional Modeling of Malay Cities

Information Fusion for Cultural Heritage Three-Dimensional Modeling of Malay Cities

Mechatronics and Remote Driving Control of the Drive-by-Wire for a Go Kart

Road Rutting Measurement Using Mobile LiDAR Systems Point Cloud

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