Self-driving Vehicles and Enabling Technologies [Working Title]最新文献

Trends in Next Generation Intelligent Transportation Systems 下一代智能交通系统的发展趋势

Self-driving Vehicles and Enabling Technologies [Working Title] Pub Date : 2021-06-07 DOI: 10.5772/INTECHOPEN.97690

Prem Chand Jain

{"title":"Trends in Next Generation Intelligent Transportation Systems","authors":"Prem Chand Jain","doi":"10.5772/INTECHOPEN.97690","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.97690","url":null,"abstract":"The objective of Intelligent transportation system (ITS) and related National highway traffic safety administration (NHTSA) is to improve vehicle safety and reduce accidents, injuries, and deaths. Advanced driver assistance system (ADAS) is making a difference in vehicle safety. The objective of ADAS is to provide a continuous picture environment surrounding the vehicle. This vision around the vehicle is seen by the driver to take the decision. Vehicular communication is a part of Intelligent Transport System which provides an intelligent way of transport to avoid accidents. As the transportation moves towards environment of connected and autonomous vehicles, the role of communication and data transfer becomes important. Connected vehicles can be used for both infotainment and navigation for vehicle safety. Vehicle-to-vehicle (V2V) communication allows vehicles to talk to each other and exchange data about location, direction of travel, speed, brake, accelerator status, and other facts. This information is analyzed and used to avoid collision. C-V2X (Cellular-Vehicle-to-Everything) can provide better quality of service support, large coverage, and high data rate for moving vehicles. Device-to-device (D2D) communication in C-V2X provides high reliability and low latency. In 5G Rel.16 C-V2X will become an integral part of 5G cellular network providing higher capacity, coverage, etc. Today old aged/disabled person look for driving technology that is convenient and easy to use. V2X technology will offset some of the concerns about old aged/disabled driver’s abilities to respond quickly to challenge by driving environment as they no longer be required to handle most of the decisions.","PeriodicalId":127022,"journal":{"name":"Self-driving Vehicles and Enabling Technologies [Working Title]","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126910505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Future Mobility Advances and Trends 未来移动出行的进展和趋势

Self-driving Vehicles and Enabling Technologies [Working Title] Pub Date : 2021-05-26 DOI: 10.5772/INTECHOPEN.97108

M. Longo, W. Yaïci, F. Foiadelli

引用次数: 0

Visibility-Based Technologies and Methodologies for Autonomous Driving 基于可视性的自动驾驶技术和方法

Self-driving Vehicles and Enabling Technologies [Working Title] Pub Date : 2020-12-24 DOI: 10.5772/intechopen.95328

S. Easa, Yang Ma, A. Elshorbagy, A. Shaker, Songnian Li, S. Arkatkar

{"title":"Visibility-Based Technologies and Methodologies for Autonomous Driving","authors":"S. Easa, Yang Ma, A. Elshorbagy, A. Shaker, Songnian Li, S. Arkatkar","doi":"10.5772/intechopen.95328","DOIUrl":"https://doi.org/10.5772/intechopen.95328","url":null,"abstract":"The three main elements of autonomous vehicles (AV) are orientation, visibility, and decision. This chapter presents an overview of the implementation of visibility-based technologies and methodologies. The chapter first presents two fundamental aspects that are necessary for understanding the main contents. The first aspect is highway geometric design as it relates to sight distance and highway alignment. The second aspect is mathematical basics, including coordinate transformation and visual space segmentation. Details on the Light Detection and Ranging (Lidar) system, which represents the ‘eye’ of the AV are presented. In particular, a new Lidar 3D mapping system, that can be operated on different platforms and modes for a new mapping scheme is described. The visibility methodologies include two types. Infrastructure visibility mainly addresses high-precision maps and sight obstacle detection. Traffic visibility (vehicles, pedestrians, and cyclists) addresses identification of critical positions and visibility estimation. Then, an overview of the decision element (path planning and intelligent car-following) for the movement of AV is presented. The chapter provides important information for researchers and therefore should help to advance road safety for autonomous vehicles.","PeriodicalId":127022,"journal":{"name":"Self-driving Vehicles and Enabling Technologies [Working Title]","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123768886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Design Considerations for Autonomous Cargo Transportation Multirotor UAVs 自主货物运输多旋翼无人机的设计考虑

Self-driving Vehicles and Enabling Technologies [Working Title] Pub Date : 2020-12-18 DOI: 10.5772/intechopen.95060

D. Kotarski, P. Piljek, J. Kasać

引用次数: 1

Selected Issues and Constraints of Image Matching in Terrain-Aided Navigation: A Comparative Study 地形辅助导航中图像匹配的选择问题与约束:比较研究

Self-driving Vehicles and Enabling Technologies [Working Title] Pub Date : 2020-12-17 DOI: 10.5772/intechopen.95039

P. Turek, S. Grzywiński, W. Bużantowicz

{"title":"Selected Issues and Constraints of Image Matching in Terrain-Aided Navigation: A Comparative Study","authors":"P. Turek, S. Grzywiński, W. Bużantowicz","doi":"10.5772/intechopen.95039","DOIUrl":"https://doi.org/10.5772/intechopen.95039","url":null,"abstract":"The sensitivity of global navigation satellite systems to disruptions precludes their use in conditions of armed conflict with an opponent possessing comparable technical capabilities. In military unmanned aerial vehicles (UAVs) the aim is to obtain navigational data to determine the location and correction of flight routes by means of other types of navigational systems. To correct the position of an UAV relative to a given trajectory, the systems that associate reference terrain maps with image information can be used. Over the last dozen or so years, new, effective algorithms for matching digital images have been developed. The results of their performance effectiveness are based on images that are fragments taken from source files, and therefore their qualitatively identical counterparts exist in the reference images. However, the differences between the reference image stored in the memory of navigation system and the image recorded by the sensor can be significant. In this paper modern methods of image registration and matching to UAV position refinement are compared, and adaptation of available methods to the operating conditions of the UAV navigation system is discussed.","PeriodicalId":127022,"journal":{"name":"Self-driving Vehicles and Enabling Technologies [Working Title]","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127178542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Long Journey of the Driverless Car 无人驾驶汽车的漫长旅程

Self-driving Vehicles and Enabling Technologies [Working Title] Pub Date : 2020-10-01 DOI: 10.5772/INTECHOPEN.93856

C. Wolmar

引用次数: 0