Mobile mapping systems and spatial data collection strategies assessment in the identification of horizontal alignment of highways

Lane detection plays a crucial role in any autonomous driving system. Currently commercialized vehicles offer lane keep assist and lane departure warning via integrated smart cameras, deployed for road markings detection. These sensors alone, however, do not generally ensure adequate performance for higher autonomy levels. In this paper, a multi-sensor tracking approach for generic lane boundaries is proposed. This solution is based on well-established filtering techniques and supports a flexible clothoid spline representation. It relies on fine-tuned measurement models, tailored on collected data from both off-the-shelf and prototype smart sensors. The implementation takes into account real-time constraints and ADAS ECUs scarcity of resources. The result is finally validated against lanelevel ground truth and experimental data acquisitions.

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“…where the continuous description of each segment is given at curvilinear abscissa s by the Fresnel integrals [15]:…”

Section: Lane Boundary Modelmentioning

confidence: 99%

Multisensor Tracking of Lane Boundaries based on Smart Sensor Fusion

Camarda

Davoine

Cherfaoui

et al. 2020

2020 IEEE Intelligent Vehicles Symposium (IV)

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“…Instead of using ArcGIS to measure distance [46], this study analyzed turning radii in AutoCAD after extracting coordinates of the travel corridor from Google Maps. Indeed, road horizontal alignment can be identified using mobile mapping systems and GIS spatial data as the investigation in [47,48]. A small corridor including 3 intersections and 5 turning curves with different radii (Error!…”

Section: The Effects Of Ride Comfort Criteria On Dart Performancementioning

confidence: 99%

Platooning of Autonomous Public Transport Vehicles: The Influence of Ride Comfort on Travel Delay

Nguyen

Xie²,

Liu³

et al. 2019

Sustainability

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The development of advanced technologies has led to the emergence of autonomous vehicles. Herein, autonomous public transport (APT) systems equipped with prioritization measures are being designed to operate at ever faster speeds compared to conventional buses. Innovative APT systems are configured to accommodate prevailing passenger demand for peak as well as non-peak periods, by electronic coupling and decoupling of platooned units along travel corridors, such as the dynamic autonomous road transit (DART) system being researched in Singapore. However, there is always the trade-off between high vehicle speed versus passenger ride comfort, especially lateral ride comfort. This study analyses a new APT system within the urban context and evaluates its performance using microscopic traffic simulation. The platooning protocol of autonomous vehicles was first developed for simulating the coupling/decoupling process. Platooning performance was then simulated on VISSIM platform for various scenarios to compare the performance of DART platooning under several ride comfort levels: three bus comfort and two railway criteria. The study revealed that it is feasible to operate the DART system following the bus standing comfort criterion (ay = 1.5 m/s2) without any significant impact on system travel time. For the DART system operating to maintain a ride comfort of the high-speed train (HST) and light rail transit (LRT), the delay can constitute up to ≈ 10% and ≈ 5% of travel time, respectively. This investigation is crucial for the system delay management towards precisely designed service frequency and improved passenger ride comfort.

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“…(3) In the DCIS based on RNCPM using IEEE1588 precise synchronous synchronization technology, it achieves the whole network data synchronization up to nanosecond level [20], [21].…”

Section: The System Communication Architecturementioning

confidence: 99%

A New Dispatch Control Integration System of the Smart Grid Based on the Regional Network Centralized Protected Mode

Zhang¹,

Na²,

Jing³

et al. 2018

JOCET

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The hierarchical management and monitor model is a popular approach for the dispatch control mode of the smart grid. However, this model has many defects, e.g., the management of the data flow in the dispatch control system is very difficult, and the running efficiency of the dispatch control system is very bad too. This paper presents a regional network centralized protected mode(RNCPM) of the smart grid and establishes a new dispatch control integration system (DCIS)of the smart grid. The system architecture and key technologies of the DCIS based on RNCPM are proposed. A new communication architecture and the new features of the unified cross-section panoramic data(UCSPA) is studied. A new scheduling operation and management mode and panoramic data system platform of smart grid are developed. The DCIS under RNCPM can have integrated the schedule and monitor of the smart grid. The proposed system will lead to a new operation and maintenance mode of smart grid. The new system will further optimize the scheduling and workflow transformer of the substation. And the overall level of smart grid security and emergency levels will be significant raised.Index Terms-Dispatch control integration, regional network centralized protection, smart grid, panoramic data.

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Mobile mapping systems and spatial data collection strategies assessment in the identification of horizontal alignment of highways

Cited by 26 publications

References 32 publications

Multisensor Tracking of Lane Boundaries based on Smart Sensor Fusion

Multisensor Tracking of Lane Boundaries based on Smart Sensor Fusion

Platooning of Autonomous Public Transport Vehicles: The Influence of Ride Comfort on Travel Delay

A New Dispatch Control Integration System of the Smart Grid Based on the Regional Network Centralized Protected Mode

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