The Experts below are selected from a list of 2715 Experts worldwide ranked by ideXlab platform
Anupam Chattopadhyay - One of the best experts on this subject based on the ideXlab platform.
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Intelligent Vehicles Symposium - A Security Model for Intelligent Vehicles and Smart Traffic Infrastructure
2018 IEEE Intelligent Vehicles Symposium (IV), 2018Co-Authors: Sachin Kumar, Sonu Jha, Sumit Kumar Pandey, Anupam ChattopadhyayAbstract:Intelligent vehicles require to communicate with other vehicles as well as with the road-side Infrastructure for gathering information such as Traffic management, cooperative driving, telematics and road construction. However, vehicle-to vehicle (V2V) and vehicle to Infrastructure (V2I) communications can impose some serious security threats against vehicles’ safety and other sensitive information which can lead to catastrophic consequences. Therefore, there is a pressing need to develop appropriate security protocols facilitating V2I and V2V communication. This paper presents a model for smart Traffic Infrastructure consisting of numerous entities like smart sensors, intelligent vehicles, base stations along with a new user authentication and key-exchange protocol which aids in the establishment of a secure session for communication between the entities. In the proposed protocol, any SUF-CMA (Strong Unforgeable- Chosen Message Attack) secure digital signature algorithm can be used for authenticating the users and any NM-CCA2 (Non-Malleability Chosen Ciphertext Attack) secure algorithm can also be used for the challenge response phase between the users authenticating themselves.
Klaus Dietmayer - One of the best experts on this subject based on the ideXlab platform.
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Automatic detection and classification of safety barriers in road construction sites using a laser scanner
2009 IEEE Intelligent Vehicles Symposium, 2009Co-Authors: Andreas Wimmer, Thorsten Weiss, Francesco Flogel, Klaus DietmayerAbstract:Lateral control of trucks is a challenging task, especially in demanding environments such as road construction sites as the lane width is reduced. Detailed and highly accurate maps, which contain Traffic Infrastructure objects, will provide important information for a lane keeping assistant for heavy duty vehicles. This paper presents a new approach for the automatic detection and classification of safety barriers in road construction sites using a laser scanner. This data then is used for the generation of a detailed road work map.
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Automatic Detection of Traffic Infrastructure Objects for the Rapid Generation of Detailed Digital Maps using Laser Scanners
2007 IEEE Intelligent Vehicles Symposium, 2007Co-Authors: Thorsten Weiss, Klaus DietmayerAbstract:Detailed digital maps are of benefit for navigation systems and also for future driver assistant and safety applications. The generation of detailed digital maps is an expensive and time-consuming process as there is much manual rework. In this work, algorithms for the automatic detection of Traffic Infrastructure objects are proposed. The accurate positions of lane markings, sidewalks, reflection posts and guardrails are determined automatically by a vertically and a horizontally mounted automotive laser scanner. The high position accuracy of the mapped Traffic Infrastructure objects allows for the rapid generation of up to date, accurate and detailed digital Infrastructure maps with a cost efficient sensor setup and a low demand for manual rework.
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Generierung praeziser digitaler Verkehrsinfrastrukturkarten mit Laserscannern / Generation of digital Traffic Infrastructure maps using laserscanners
2006Co-Authors: T Weiss, J Juchler, Klaus DietmayerAbstract:Detaillierte und praezise digitale Karten unterstuetzen zukuenftige intelligente Fahrerassistenz- und Sicherheitsapplikationen durch Informationen ueber die umgebende Verkehrsinfrastruktur. Die Generierung solcher detaillierter und praeziser digitaler Karten ist sehr aufwaendig und kostenintensiv. Im Rahmen dieser Arbeit werden Algorithmen vorgestellt, die mit Hilfe zweier Laserscanner, von denen einer horizontal an der Fahrzeugfront und der andere vertikal ueber dem Fahrzeugheck montiert ist, automatisch Verkehrsinfrastrukturobjekte wie Fahrbahnlinien, Leitpfosten, Leitplanken und Gehsteigkanten detektieren und mit hoher Positionsgenauigkeit in eine digitale Karte eintragen. (A) ABSTRACT IN ENGLISH: Detailed digital maps are of benefit for intelligent vehicles and future driver assistant and safety applications. The generation of detailed digital maps is an expensive and time consuming process. In this work algorithms for the automatic detection of Traffic Infrastructure objects such as lane markings, sidewalks, reflection posts and guardrails are proposed. The objects are detected by two laser scanners. One is mounted on the front bumper of the car and provides horizontal distance profiles. Another laser scanner is mounted above the rear of the vehicle and provides vertical distance profiles. With the help of this system the Traffic Infrastructure objects can be registered in a map very accurately. (A) Beitrag zum Themenbereich "Jahrmarkt der Innovationen" der Tagung "Integrierte Sicherheit und Fahrerassistenzsysteme" der VDI-Gesellschaft Fahrzeug- und Verkehrstechnik, Wolfsburg, 12. und 13. Oktober 2006. Siehe auch Gesamtaufnahme der Tagung, ITRD-Nummer D358921.
Sachin Kumar - One of the best experts on this subject based on the ideXlab platform.
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Intelligent Vehicles Symposium - A Security Model for Intelligent Vehicles and Smart Traffic Infrastructure
2018 IEEE Intelligent Vehicles Symposium (IV), 2018Co-Authors: Sachin Kumar, Sonu Jha, Sumit Kumar Pandey, Anupam ChattopadhyayAbstract:Intelligent vehicles require to communicate with other vehicles as well as with the road-side Infrastructure for gathering information such as Traffic management, cooperative driving, telematics and road construction. However, vehicle-to vehicle (V2V) and vehicle to Infrastructure (V2I) communications can impose some serious security threats against vehicles’ safety and other sensitive information which can lead to catastrophic consequences. Therefore, there is a pressing need to develop appropriate security protocols facilitating V2I and V2V communication. This paper presents a model for smart Traffic Infrastructure consisting of numerous entities like smart sensors, intelligent vehicles, base stations along with a new user authentication and key-exchange protocol which aids in the establishment of a secure session for communication between the entities. In the proposed protocol, any SUF-CMA (Strong Unforgeable- Chosen Message Attack) secure digital signature algorithm can be used for authenticating the users and any NM-CCA2 (Non-Malleability Chosen Ciphertext Attack) secure algorithm can also be used for the challenge response phase between the users authenticating themselves.
Yuan Luo - One of the best experts on this subject based on the ideXlab platform.
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urban Traffic Infrastructure investment and air pollution evidence from the 83 cities in china
Journal of Cleaner Production, 2018Co-Authors: Chuanwang Sun, Yuan LuoAbstract:Abstract Emissions from heavy urban Traffic have been the most abundant components of urban air pollution in China. Compared to the fast increasing consumption of automobile, the growth rate of urban Traffic Infrastructure investment (UTII) is relative low. It is a controversial issue for the policymaker whether promoting the UTII could make a positive impact on reducing air pollution or not. This study is designed to test the relations between the UTII and air quality, using the data of 83 cities from 2000 to 2012. Based on the empirical results from the fixed effect model and dynamic panel data model, increasing the UTII could generally mitigate the air pollution, but the long-run and short-run effects are significantly different. In the short run, the UTII effect on air quality is −0.02, since the urban Traffic Infrastructure construction might cause more detours and road blockages, which would enhance the fine-particle emissions of the low-speed Traffic. In contrast, the UTII could widen the roads and make the Traffic system more accessible in the long run, so the estimated positive effect is about 0.05. The robustness tests about different regions and scales of cities are conducted. Policy suggestions are further recommended to reduce air pollution.
Guo Junping - One of the best experts on this subject based on the ideXlab platform.
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Study on rural poverty reduction effect of Traffic Infrastructure.
Asian Agricultural Research, 2014Co-Authors: Guo Junping, Zhang Bin, Zhang XiyanAbstract:To systematically comb and explore the rural poverty reduction effect of Traffic Infrastructure,the author analyzed the mechanism,main channels and actual effect of rural Traffic Infrastructure on poverty reduction.It revealed that rural Traffic Infrastructure exerts positive or negative effect on poverty reduction directly or indirectly.The positive channel includes increasing non-agricultural employment opportunities,reducing costs for agricultural production,transportation and labor transfer,increasing availability of social service,and promoting adjustment of agricultural industrial structure and development of rural tourism resources.On the whole,Traffic Infrastructure has significant positive influence on rural poverty reduction.Finally,it summarized policy recommendations for building pro-poor Traffic Infrastructure,and came up with vacancy of related research field and future exploration direction.
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Research on Rural Poverty Reduction Effect of Traffic Infrastructure
Guizhou Agricultural Sciences, 2013Co-Authors: Guo JunpingAbstract:To systematically comb and explore the rural poverty reduction effect of Traffic Infrastructure,the author analyzed the mechanism,main channels and actual effectiveness of rural Traffic Infrastructure on poverty reduction,and revealed that rural Traffic Infrastructure had positive or negative direct and indirect effects on poverty reduction,and its positive channels including increasing off-farm employment opportunities,reducing costs in agricultural production,transportation and labor transfer, improving social service availability,as well as promoting agricultural structure readjustment and rural tourism resources development;Traffic Infrastructure had a significant positive effect on rural poverty. Finally,the author refined and summarized some policy proposals for"pro-poor"Traffic Infrastructure construction,put forward the blank and future study direction in related research field.
