A Practical and Economical Ultra-wideband Base Station Placement Approach for Indoor Autonomous Driving Systems

Jiang, Shengchuan; Zhao, Cong; Zhu, Yifan; Wang, Chenwei; Du, Yuchuan

doi:10.1155/2022/3815306

Cited by 64 publications

(28 citation statements)

References 28 publications

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“…Thus, the automatic flight plan generation (FPG) has become an urgent topic for air transport field. Some novel initiatives are widely discussed in both academia and industry, such as coded departure routes (CDRs) [2], dynamic weather routes (DWR) [3,4], collaborative trajectory options program (CTOP) [5], and other transportation areas [6][7][8][9]. Note that, the flight plan is generated via solving the optimization program to meet a set of operational metrics.…”

Section: Introductionmentioning

confidence: 99%

Sequence‐to‐sequence transfer transformer network for automatic flight plan generation

Yang,

Qian,

Zhang

et al. 2023

IET Intelligent Trans Sys

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In this work, a machine translation framework is proposed to tackle the flight plan generation in the air transport field. Diverging from the traditional human expert‐based way, a novel sequence‐to‐sequence transfer transformer network to automatic flight plan generation with enhanced operational acceptability is presented. It allows the user to translate the departure and arrival airport pairs denoted as test sentences, into the flyable waypoint sequences denoted as the corresponding source sentences. The approach leverages deep neural networks to autonomously learn air transport specialized knowledge and human expert insights from industry legacy data. Moreover, a multi‐head attention mechanism is adopted to model the complex correlation between airport pairs. Besides, we introduce an innovative waypoint embedding layer to learn effective embeddings for waypoint sequences. Additionally, an extensive flight plan dataset is constructed utilizing real‐world data in China spanning from July to September 2019. Employing the proposed model, rigorous training and testing procedures are conducted on this dataset, yielding remarkably favourable outcomes based on automatic evaluation metrics that are BLEU and METEOR, which outperform other popular approaches. More importantly, the proposed approach achieves high performance in the operational validation and visualization, showing its application potential for real‐world air traffic operation.

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Section: Introductionmentioning

confidence: 99%

Sequence‐to‐sequence transfer transformer network for automatic flight plan generation

Yang,

Qian,

Zhang

et al. 2023

IET Intelligent Trans Sys

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“…Real-time status monitoring of on-street parking spaces is an essential foundation and premise for solving urban parking problems caused by unbalanced supply and demand. Over the past decade, several efective measures have been developed to alleviate searchingfor-parking trafc by improving parking resource use efciency, including advanced parking management strategies [3], parking reservation and dynamic allocation [4], parkand-ride [5], automated valet parking [6,7], and cloud-based centralized parking dispatching [8,9]. Hence, efcient and reliable methods for sensing on-street parking availability are critical for the quality enhancement of parking services and the digital transformation of urban trafc management.…”

Section: Introductionmentioning

confidence: 99%

Trustworthiness Assessment for Crowdsourcing-Based Citywide Parking Availability Sensing via Connected and Automated Vehicles

Wang,

Zhao,

Wang

et al. 2023

Journal of Advanced Transportation

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Real-time status acquisition of parking spaces is highly valuable for an intelligent urban parking system. Crowdsourcing-based parking availability sensing via connected and automated vehicles (CAVs) provides a feasible method with the advantages of high coverage and low cost. However, data trust issues arise from incorrect detection and incomplete information. This paper proposes a trustworthiness assessment method for crowdsourced CAV data considering different impact factors, such as the distance between the CAV and the target parking space, line abrasion, scene complexity, and image sharpness. The crowdsourced CAV data are collected through extensive field experiments and PreScan simulations. The classical line detection algorithm of VPS-Net and the target detection algorithm of YOLO-v3 are applied to detect on-street parking availability. A failure probability model based on the XGBoost algorithm is then developed to establish the relationship between data trustworthiness and different impact factors. The results show that the proposed model has an average accuracy of 78.29% and can effectively assess the degrees of external influences on the trustworthiness of the crowdsourced data. This paper provides a new tool to identify the data quality and improve the sensing accuracy for a crowdsourcing-based parking availability information system.

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“…Additionally, the application of AVP could increase parking resource utilization and save parking time and energy consumption. Considering all such advantages, the AVP has been the best-recognized automated parking solution to date [7]- [13].…”

Section: Introductionmentioning

confidence: 99%

Cross-Domain Self-Authentication Based Consortium Blockchain for Autonomous Valet Parking System

et al. 2022

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This paper proposed a cross-domain authentication scheme to address the"information isolated island" problem of users' identities storage in servers and the "redundant registration problem" of users' identities for autonomous valet parking systems. This scheme adopts a decentralized anonymous authentication method to relieve the authentication center's service load. Users are segregated into two categories to increase authentication efficiency: inexperienced and regular users. For the former, the paper explores a self-authentication mechanism based on verification parameters. Then its valid personal information, pseudonym, and public key, were stored in a blockchain consortium (PseIDChain) as the transaction records to securely shared among servers located in different domains. For the latter (regular users), the paper presents a mechanism for efficiently searching users' personal information on PseIDChain by the smart contract to a certificate. Security proof and simulation results show that the designed scheme has superior security to the existing schemes. Its authentication efficiency is 80.29% and 50.45% higher than the traditional anonymous and batch authentication schemes. INDEX TERMSAutonomous valet parking; privacy protection; cross-domain authentication; consortium blockchain; pseudonym Lei Hua received her B.S. and M.S. degrees in information security and computer science and technology from

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A Practical and Economical Ultra-wideband Base Station Placement Approach for Indoor Autonomous Driving Systems

Cited by 64 publications

References 28 publications

Sequence‐to‐sequence transfer transformer network for automatic flight plan generation

Sequence‐to‐sequence transfer transformer network for automatic flight plan generation

Trustworthiness Assessment for Crowdsourcing-Based Citywide Parking Availability Sensing via Connected and Automated Vehicles

Cross-Domain Self-Authentication Based Consortium Blockchain for Autonomous Valet Parking System

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