High-Precision Digital Traffic Recording with Multi-LiDAR Infrastructure Sensor Setups

Kloeker, Laurent; Geller, Christian; Kloeker, Amarin; Eckstein, Lutz

doi:10.1109/itsc45102.2020.9294543

Cited by 11 publications

(7 citation statements)

References 14 publications

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“…Wang et al ( 25 ) used a digital twin framework to test the feasibility of data exchange between connected vehicles and assess the resulting data quality, an experiment that yielded satisfying results. Kloeker et al ( 26 ) provided a digital twin framework for automated and connected mobility including vehicle-to-everything communication. Digital twins are not just limited to ground monitoring and communications.…”

Section: Applications and Use Casesmentioning

confidence: 99%

Digital Twin Framework for Bridge Structural Health Monitoring Utilizing Existing Technologies: New Paradigm for Enhanced Management, Operation, and Maintenance

Costin,

Adibfar,

Bridge

2023

Transportation Research Record: Journal of the Transportation R

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Bridges are one of the most important elements of a sustainable transportation infrastructure network and require significant care to guarantee they function in a safe and reliable manner. Ensuring effective bridge maintenance and life cycle management in the face of aging and deterioration requires precise performance data and efficient assessment technologies. Because of the overall mediocre quality of U.S. infrastructure, there is a crucial need to enhance its monitoring and management. Digital twin is an emerging and promising concept that can offer the required solution. Advances in sensors, computing, communications, and predictive data analytics, coupled with biannual inspections, offer a wealth of bridge assessment data that will need a centralized digital twin framework for integration, analysis, and optimal decision-making with regard to maintenance. Leveraging and integrating these technologies in the new paradigm of a bridge digital twin will provide state transportation agencies with additional resources not previously available to enhance bridge operation and maintenance. A major value of a digital twin is the new knowledge created by the integration of information resources. This paper provides a framework for bridge digital twin that incorporates existing technologies, namely, building information modeling, structural health monitoring, intelligent transportation systems, and geographic information systems. The paper also provides an overview of practical applications and use cases of digital twin for bridges and structures, and offers an assessment of the challenges posed by the technology.

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Section: Applications and Use Casesmentioning

confidence: 99%

Digital Twin Framework for Bridge Structural Health Monitoring Utilizing Existing Technologies: New Paradigm for Enhanced Management, Operation, and Maintenance

Costin,

Adibfar,

Bridge

2023

Transportation Research Record: Journal of the Transportation R

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“…8.3.3. The projects HDVMess and ACCorD aim at installing mobile and fixed infrastructure sensors at various sites [159] and evaluate their data generation with a UAVbased reference system [160].…”

Section: Reference Data From Stationary Infrastructure Sensorsmentioning

confidence: 99%

“…[110] and for assessing infrastructure sensors in Ref. [160]. A qualitative assessment of UAV-based reference systems in contrast to other reference systems is given in Ref.…”

Section: Reference Data From Uavsmentioning

confidence: 99%

A Review of Testing Object-Based Environment Perception for Safe Automated Driving

2022

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Safety assurance of automated driving systems must consider uncertain environment perception. This paper reviews literature addressing how perception testing is realized as part of safety assurance. The paper focuses on testing for verification and validation purposes at the interface between perception and planning, and structures the analysis along the three axes (1) test criteria and metrics, (2) test scenarios, and (3) reference data. Furthermore, the analyzed literature includes related safety standards, safety-independent perception algorithm benchmarking, and sensor modeling. It is found that the realization of safety-oriented perception testing remains an open issue since challenges concerning the three testing axes and their interdependencies currently do not appear to be sufficiently solved.

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“…Although this reduces the initial calibration effort, it does not improve the continuous registration. A solution to this problem is discussed in [13]. The data from two LiDAR sensors of a measurement station are continuously fused by a combination of several point cloud matching algorithms, achieving stable and accurate registration over longer measurement periods in real-time.…”

Section: Point Cloud Registration For Infrastructure Sensorsmentioning

confidence: 99%

Map-based registration of multi-LiDAR infrastructure sensor setups for real-time applications

Kloeker

Baumanns

et al. 2022

J. Phys.: Conf. Ser.

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The use of infrastructure sensors has proven to be an effective method for recording large traffic datasets. In order to achieve a high data quality for such datasets, an accurate extrinsic calibration of the sensors is essential. While previous approaches are not fast enough or do not fit the use-case of infrastructure sensing, we present a method that is capable of registering LiDAR sensors to a digital map in real-time. We use a mobile infrastructure sensor setup consisting of two measurement units, which we position at different locations with real road traffic. Each measurement unit is equipped with two LiDARs at a mounting height of eight meters. Experiments have shown that our method can perform continuous registration of up to four 128-layer LiDARs. With a voxel size of 0.05 meters used, our method achieves a root-mean-square error (RMSE) of 0.13 meters at an average processing time of 0.05 seconds per frame.

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High-Precision Digital Traffic Recording with Multi-LiDAR Infrastructure Sensor Setups

Cited by 11 publications

References 14 publications

Digital Twin Framework for Bridge Structural Health Monitoring Utilizing Existing Technologies: New Paradigm for Enhanced Management, Operation, and Maintenance

Digital Twin Framework for Bridge Structural Health Monitoring Utilizing Existing Technologies: New Paradigm for Enhanced Management, Operation, and Maintenance

A Review of Testing Object-Based Environment Perception for Safe Automated Driving

Map-based registration of multi-LiDAR infrastructure sensor setups for real-time applications

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