標(biāo)題: Titlebook: Communication, Computation and Perception Technologies for Internet of Vehicles; Yongdong Zhu,Yue Cao,Lexi Xu Book 2023 The Editor(s) (if [打印本頁] 作者: CYNIC 時間: 2025-3-21 19:45
書目名稱Communication, Computation and Perception Technologies for Internet of Vehicles影響因子(影響力)
書目名稱Communication, Computation and Perception Technologies for Internet of Vehicles影響因子(影響力)學(xué)科排名
書目名稱Communication, Computation and Perception Technologies for Internet of Vehicles網(wǎng)絡(luò)公開度
書目名稱Communication, Computation and Perception Technologies for Internet of Vehicles網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Communication, Computation and Perception Technologies for Internet of Vehicles被引頻次
書目名稱Communication, Computation and Perception Technologies for Internet of Vehicles被引頻次學(xué)科排名
書目名稱Communication, Computation and Perception Technologies for Internet of Vehicles年度引用
書目名稱Communication, Computation and Perception Technologies for Internet of Vehicles年度引用學(xué)科排名
書目名稱Communication, Computation and Perception Technologies for Internet of Vehicles讀者反饋
書目名稱Communication, Computation and Perception Technologies for Internet of Vehicles讀者反饋學(xué)科排名
作者: antidepressant 時間: 2025-3-21 23:13 作者: 場所 時間: 2025-3-22 01:11 作者: nocturnal 時間: 2025-3-22 05:43 作者: deviate 時間: 2025-3-22 08:50 作者: 偶像 時間: 2025-3-22 16:49
https://doi.org/10.1007/978-1-4615-0457-3ity of urban development. Intelligent transportation system (ITS) can reduce traffic congestion at least possible cost with a range of technologies. Recent development in connected vehicle (CV) technologies is expected to enable more efficient traffic sensing and management. For traffic sensing, thi作者: 偶像 時間: 2025-3-22 20:14 作者: 驚惶 時間: 2025-3-22 23:42 作者: 神圣在玷污 時間: 2025-3-23 04:44 作者: Hdl348 時間: 2025-3-23 06:20 作者: Popcorn 時間: 2025-3-23 10:49 作者: 節(jié)省 時間: 2025-3-23 16:24 作者: 厚顏無恥 時間: 2025-3-23 20:34
https://doi.org/10.1007/978-3-540-46505-8roving the safety and efficiency of transportation systems. Unleashing the communication and positioning capabilities of connected vehicles and roadside units’ storage and computing capabilities, the CVIS can enhance the positioning signal coverage and help the vehicles with low positioning accuracy作者: Aromatic 時間: 2025-3-23 23:01
https://doi.org/10.1007/978-3-540-46505-8 of Vehicles have emerged and brought enormous challenges to the computing and communication capabilities of vehicular networks. Therefore, integrated sensing and communication for cooperative cloud-edge computing in Internet of Vehicles are getting more attention. This chapter introduces collaborat作者: 嫻熟 時間: 2025-3-24 04:46
https://doi.org/10.1007/978-3-540-46505-8dustry. Vehicle and transportation big data has 4?V features, including volume, velocity, variety, value. Effectively utilization of vehicle and transportation big data can assist the application and accelerate the vehicle and transportation industry. This chapter introduces big data, including the 作者: comely 時間: 2025-3-24 10:33
https://doi.org/10.1007/978-3-540-46505-8tion, it faces various security and privacy issues in practical applications. Blockchain, a distributed ledger technology, can build a safe and reliable environment for V2X. This chapter introduces the fundamentals of blockchain and then provides an extensive discussion on how blockchain is applied 作者: Ondines-curse 時間: 2025-3-24 11:28 作者: Coordinate 時間: 2025-3-24 15:02
https://doi.org/10.1007/978-3-540-46505-8ternet of Vehicles, malicious vehicles could participate in communications with misbehaviours, e.g., dropping packets and spreading fake information. Therefore, it is important to detect misbehaviour of attackers that may destroy functions of network (e.g., taking more time to receive messages or re作者: 禁止 時間: 2025-3-24 20:50
https://doi.org/10.1007/978-3-540-46505-8ome indispensable travel tools in daily life. On the other hand, as flourishing as automated vehicles are, autonomous valet parking technology is utilized to address issues such as long waiting periods for finding a parking spot and huge costs. So automated electric vehicles (AEV) have become the fr作者: 流浪 時間: 2025-3-25 01:09
Modeling Microscopic Traffic Behaviors for Connected and Autonomous Vehicles,t review recent modeling works on mixed traffic flow and summarize research gaps. Then a stochastic car-following model is proposed to model the car-following behavior of AVs and HVs. This chapter also analyses the safety of mixed-traffic flow by considering the impact of AVs on their followers’ car作者: 費(fèi)解 時間: 2025-3-25 04:31 作者: 厚顏 時間: 2025-3-25 09:15
Evolution of Wireless Communication Technology for V2X Assisted Autonomous Driving,sport entities, such that human effort can be liberated and can help to foster an efficient, safe, smart and sustainable transportation system. Currently, there is a plethora of wireless communication technologies in Vehicle-to-Everything (V2X) assisted autonomous driving. Each wireless communicatio作者: SEVER 時間: 2025-3-25 14:12
5G Meets V2X: Integration, Application, Standard and Industrialization, can reach superior capability and performance. 5G ultra-Reliable Low-Latency Communication (uRLLC) scenario can meet the service high requirements in latency and reliability. Therefore, 5G uRLLC is suitable for Vehicle to Everything (V2X) services. This chapter briefly introduces 5G, and then this 作者: 評論者 時間: 2025-3-25 18:15 作者: pester 時間: 2025-3-25 21:37
Real-Time Object Detection for ITS Applications,our recognition, road damage detection, etc. The development of communications networks (5G networks) has increased data transfer rates, while the large-scale application of sensors in roadside units and connected-automated vehicles has generated huge amounts of data. This makes it possible to train作者: 向前變橢圓 時間: 2025-3-26 00:37 作者: Expand 時間: 2025-3-26 07:24
Multi-sensor Fusion for Perception in Complex Traffic Environments,ceptions based on on-board and roadside sensors. However, fusion of roadside sensors is rarely studied. Moreover, road-side perception is not only essential for autonomous driving, but also helpful for traffic management. In this chapter, we first give a detailed introduction on cooperative percepti作者: obviate 時間: 2025-3-26 11:19 作者: 蒼白 時間: 2025-3-26 16:14
Cooperative Cloud-Edge Computing for Integrated Sensing and Communication in Internet of Vehicles, of Vehicles have emerged and brought enormous challenges to the computing and communication capabilities of vehicular networks. Therefore, integrated sensing and communication for cooperative cloud-edge computing in Internet of Vehicles are getting more attention. This chapter introduces collaborat作者: HEPA-filter 時間: 2025-3-26 18:05
Big Data for Internet of Vehicles and Smart Transportation,dustry. Vehicle and transportation big data has 4?V features, including volume, velocity, variety, value. Effectively utilization of vehicle and transportation big data can assist the application and accelerate the vehicle and transportation industry. This chapter introduces big data, including the 作者: Toxoid-Vaccines 時間: 2025-3-26 22:14
Noval Enabling Technology for V2X Network: Blockchain,tion, it faces various security and privacy issues in practical applications. Blockchain, a distributed ledger technology, can build a safe and reliable environment for V2X. This chapter introduces the fundamentals of blockchain and then provides an extensive discussion on how blockchain is applied 作者: neurologist 時間: 2025-3-27 02:30
An Introduction to Trust Management in Internet of Vehicles,. While being able to enhance traffic efficiency and transport safety, IoVs also bring up novel cybersecurity issues. Although cryptography-based methods can solve the problem of identity trust, they can not ensure trustworthy behaviors within the network. In order to undermine the performance of Io作者: UNT 時間: 2025-3-27 08:20
Misbehaviour Detection Mechanisms in Internet of Vehicles,ternet of Vehicles, malicious vehicles could participate in communications with misbehaviours, e.g., dropping packets and spreading fake information. Therefore, it is important to detect misbehaviour of attackers that may destroy functions of network (e.g., taking more time to receive messages or re作者: 陳腐的人 時間: 2025-3-27 12:28
Security and Privacy-Preserving for Automated Electric Vehicle,ome indispensable travel tools in daily life. On the other hand, as flourishing as automated vehicles are, autonomous valet parking technology is utilized to address issues such as long waiting periods for finding a parking spot and huge costs. So automated electric vehicles (AEV) have become the fr作者: gnarled 時間: 2025-3-27 15:36 作者: hysterectomy 時間: 2025-3-27 18:27
ng technologies such as RIS and blockchain are introduced. The book benefits researchers, engineers, and graduate students in the fields of intelligent transport systems, telecommunications, cybersecurity, and autonomous driving..978-981-99-5441-4978-981-99-5439-1作者: Debark 時間: 2025-3-27 23:47 作者: 財(cái)主 時間: 2025-3-28 04:19
Communication, Computation and Perception Technologies for Internet of Vehicles作者: SCORE 時間: 2025-3-28 10:12
Communication, Computation and Perception Technologies for Internet of Vehicles978-981-99-5439-1作者: 體貼 時間: 2025-3-28 12:37 作者: characteristic 時間: 2025-3-28 18:35
The Bloom Software Visualziation Systems that traffic safety risk decreases with the growth of the AV penetration rate (PR), as is indicated by the decreased average standard deviation (SD) of vehicle speeds and time integrated time-to-collision (TIT).作者: 有法律效應(yīng) 時間: 2025-3-28 22:19
https://doi.org/10.1007/978-1-4615-0457-3 efficiency could be improved. However, the impact of CV penetration rate and robustness of CV-based ITS solutions remain to be studied. With the comprehensive reviews on studies of CV-based ITS traffic management, this chapter can help guide future traffic management policy design with incorporation of data-based solutions.作者: 譏諷 時間: 2025-3-29 02:56
https://doi.org/10.1007/978-1-4615-0457-3e review of RIS-assisted communication systems. Then, modeling of the combination of V2X and RIS, including RIS-assisted vehicular communication systems and RIS-assisted vehicular edge computing is presented. At last, we also discuss the future development trend and challenge of RIS-assisted V2X communication systems.作者: 鑲嵌細(xì)工 時間: 2025-3-29 07:02
Graph Grammars for Visual Programmingon object detection algorithms. Moreover, this chapter introduces lightweight methods that focus on reducing the consumption of inference. The knowledge distillation algorithm is described in detail and applied to the YOLOv5 model. Finally, this chapter describes the YOLOv5 knowledge distillation experiment and analyzes the experimental results.作者: 詩集 時間: 2025-3-29 09:34 作者: Graphite 時間: 2025-3-29 14:09 作者: 清晰 時間: 2025-3-29 18:54
https://doi.org/10.1007/978-3-540-46505-8 a blockchain model based on consensus algorithm is further introduced to share the positioning error information. Additionally, the method‘s performance and effectiveness in terms of accuracy are verified in different scenarios.作者: Asperity 時間: 2025-3-29 20:38
https://doi.org/10.1007/978-3-540-46505-8matical for the joint communication and computation resource allocation problem and solves it with a deep reinforcement learning-based solution. Moreover, this chapter discusses future research directions.作者: 變形 時間: 2025-3-30 00:17
https://doi.org/10.1007/978-3-540-46505-8on to IoVs and the security challenges. Then this chapter analyses the security requirements and common attacks under IoVs. Moreover, existing trust models are reviewed and compared. Finally, this chapter discusses simulation tools for trust management in IoVs and identifies future research opportunities.作者: incubus 時間: 2025-3-30 05:27
Modeling Microscopic Traffic Behaviors for Connected and Autonomous Vehicles,s that traffic safety risk decreases with the growth of the AV penetration rate (PR), as is indicated by the decreased average standard deviation (SD) of vehicle speeds and time integrated time-to-collision (TIT).作者: muscle-fibers 時間: 2025-3-30 09:08
ITS Traffic Management with Connected Vehicles: An Overview, efficiency could be improved. However, the impact of CV penetration rate and robustness of CV-based ITS solutions remain to be studied. With the comprehensive reviews on studies of CV-based ITS traffic management, this chapter can help guide future traffic management policy design with incorporation of data-based solutions.作者: Enervate 時間: 2025-3-30 14:03
Enabling Reconfigurable Intelligent Surface for V2X Communication Systems,e review of RIS-assisted communication systems. Then, modeling of the combination of V2X and RIS, including RIS-assisted vehicular communication systems and RIS-assisted vehicular edge computing is presented. At last, we also discuss the future development trend and challenge of RIS-assisted V2X communication systems.作者: Conspiracy 時間: 2025-3-30 17:21
Real-Time Object Detection for ITS Applications,on object detection algorithms. Moreover, this chapter introduces lightweight methods that focus on reducing the consumption of inference. The knowledge distillation algorithm is described in detail and applied to the YOLOv5 model. Finally, this chapter describes the YOLOv5 knowledge distillation experiment and analyzes the experimental results.作者: 肉身 時間: 2025-3-31 00:26 作者: 技術(shù) 時間: 2025-3-31 01:00
Multi-sensor Fusion for Perception in Complex Traffic Environments,d feature-level fusion. Furthermore, this chapter will give some recommendations on the forward research directions to address the problems that have been encountered in the field of multi-sensor fusion.作者: 陳腐的人 時間: 2025-3-31 05:26
A Cooperative Positioning Enhancement for Blockchain-Enabled Vehicular Networks, a blockchain model based on consensus algorithm is further introduced to share the positioning error information. Additionally, the method‘s performance and effectiveness in terms of accuracy are verified in different scenarios.作者: 多山 時間: 2025-3-31 11:51
Cooperative Cloud-Edge Computing for Integrated Sensing and Communication in Internet of Vehicles,matical for the joint communication and computation resource allocation problem and solves it with a deep reinforcement learning-based solution. Moreover, this chapter discusses future research directions.
