標(biāo)題: Titlebook: Deep Learning for Autonomous Vehicle Control; Algorithms, State-of Sampo Kuutti,Saber Fallah,Richard Bowden Book 2019 Springer Nature Switz [打印本頁] 作者: breath-focus 時間: 2025-3-21 17:36
書目名稱Deep Learning for Autonomous Vehicle Control影響因子(影響力)
書目名稱Deep Learning for Autonomous Vehicle Control影響因子(影響力)學(xué)科排名
書目名稱Deep Learning for Autonomous Vehicle Control網(wǎng)絡(luò)公開度
書目名稱Deep Learning for Autonomous Vehicle Control網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Deep Learning for Autonomous Vehicle Control被引頻次
書目名稱Deep Learning for Autonomous Vehicle Control被引頻次學(xué)科排名
書目名稱Deep Learning for Autonomous Vehicle Control年度引用
書目名稱Deep Learning for Autonomous Vehicle Control年度引用學(xué)科排名
書目名稱Deep Learning for Autonomous Vehicle Control讀者反饋
書目名稱Deep Learning for Autonomous Vehicle Control讀者反饋學(xué)科排名
作者: Contend 時間: 2025-3-21 20:59
Kristina H??k,David Benyon,Alan J. Munro vehicles on the road has led to increased pressure to solve issues such as traffic congestion, pollution, and road safety. The leading answer to resolving these issues among the research community is self-driving cars [1–3]. For instance, according to the World Health Organization, an estimated 1.3作者: Hemodialysis 時間: 2025-3-22 01:22 作者: Minikin 時間: 2025-3-22 05:35 作者: Minikin 時間: 2025-3-22 09:20 作者: 強有力 時間: 2025-3-22 14:28
Designing Instruction For Open Sharingts to later chapters were also presented. The review of control techniques was broken into three sections: lateral, longitudinal, and full vehicle control. The lateral control systems were shown to favor using supervised learning to predict steering angles from image inputs, while the dominant trend作者: 強有力 時間: 2025-3-22 18:16
Deep Learning for Autonomous Vehicle Control978-3-031-01502-1Series ISSN 2576-8107 Series E-ISSN 2576-8131 作者: Commodious 時間: 2025-3-22 23:54 作者: 噱頭 時間: 2025-3-23 03:23
Kristina H??k,David Benyon,Alan J. Munroent years and has shown great promise in fields such as computer vision [24], speech recognition [25], and language processing [26]. The aim of this chapter is to provide the reader with a brief background on neural networks and deep learning methods which are discussed in the later sections.作者: graphy 時間: 2025-3-23 06:23
Designing Instruction For Open Sharingake recommendations for the direction of future research. Since multiple research projects have focussed on learning a single driving action, the discussion on control techniques in this chapter is broken into three sections: lateral (steering), longitudinal (acceleration and braking), and full vehicle control.作者: CAPE 時間: 2025-3-23 10:16
Deep Learning,ent years and has shown great promise in fields such as computer vision [24], speech recognition [25], and language processing [26]. The aim of this chapter is to provide the reader with a brief background on neural networks and deep learning methods which are discussed in the later sections.作者: semiskilled 時間: 2025-3-23 14:33 作者: alcohol-abuse 時間: 2025-3-23 21:38 作者: 無能性 時間: 2025-3-23 22:19 作者: ingrate 時間: 2025-3-24 03:07 作者: Flounder 時間: 2025-3-24 10:11
Book 2019urrently prevent the deployment of autonomous vehicles, one aspect of which is robust and adaptable vehicle control. Designing a controller for autonomous vehicles capable of providing adequate performance in all driving scenarios is challenging due to the highly complex environment and inability to作者: MAZE 時間: 2025-3-24 12:29
Introduction, vehicles on the road has led to increased pressure to solve issues such as traffic congestion, pollution, and road safety. The leading answer to resolving these issues among the research community is self-driving cars [1–3]. For instance, according to the World Health Organization, an estimated 1.3作者: NOVA 時間: 2025-3-24 15:10
Deep Learning,mples (i.e., training data) and the algorithm learns to solve the task on its own. Given enough training data, machine learning algorithms can optimize their solution to outperform traditional programming methods. Artificial neural networks are a promising tool for machine learning methods, and have作者: Solace 時間: 2025-3-24 19:46
Deep Learning for Vehicle Control,eralization capability offered through learning from big data, and highly scalable properties to high-dimensional observationaction mappings enables deep learning to outperform hand-engineered control techniques. For these reasons, there has been several approaches to using deep learning to control 作者: sacrum 時間: 2025-3-24 23:41 作者: 子女 時間: 2025-3-25 04:09
Concluding Remarks,ts to later chapters were also presented. The review of control techniques was broken into three sections: lateral, longitudinal, and full vehicle control. The lateral control systems were shown to favor using supervised learning to predict steering angles from image inputs, while the dominant trend作者: bacteria 時間: 2025-3-25 11:14
Safety Validation of Neural Networks,s learned and how it makes its decisions is no longer feasible [159]. Second, online learning systems have the capability to self-optimize their performance by changing their internal structure during operation. This leads to further difficulty for functional safety validation when online learning i作者: Expressly 時間: 2025-3-25 15:04 作者: 觀點 時間: 2025-3-25 15:52 作者: 嚴(yán)重傷害 時間: 2025-3-25 23:37
Book 2019learning techniques, discuss recent algorithms applied to autonomous vehicle control, identify strengths and limitations of available methods, discuss research challenges in the field, and provide insights into the future trends in this rapidly evolving field..作者: HILAR 時間: 2025-3-26 02:01 作者: Psa617 時間: 2025-3-26 07:39 作者: Oration 時間: 2025-3-26 10:55 作者: LIMN 時間: 2025-3-26 13:17
Society, Psychology and the Individualof patronising humour, sarcasm and indifference in order to maintain a symbolic distance of authority and ‘motivate’ them to work independently. His proud boasts also indicate the significance of gender to his work identity.作者: Catheter 時間: 2025-3-26 18:26
Ergebnisse der Materialauswertungen,e slight limitation which this assumption introduces is more than outweighed by the fact that it removes the need to build a world model, a task that would very probably prove impossible at the required level of detail.作者: GRATE 時間: 2025-3-26 22:01 作者: 流浪者 時間: 2025-3-27 01:47 作者: Pamphlet 時間: 2025-3-27 05:30
n, ?eigene Handlungen anregen, neue Handlungsressourcen entwickeln und Wahrnehmungsver?nderungen erm?glichen“ (ebd.: 489). H?ufiger ist in der Literatur auch von den Chancen die Rede, die ganztags betriebene F?rderschulen für die ?ffnung gegenüber au?erschulischen Erziehungsinstanzen und berufsprakt作者: 把…比做 時間: 2025-3-27 10:46
2524-342X tions. The book presents new results of the experimental and theoretical modeling of deformation, fracture and filtration processes in the rocks in connection with issues of creating scientific fundamentals for new hydrocarbon production technologies.978-3-030-11533-3Series ISSN 2524-342X Series E-ISSN 2524-3438 作者: adulterant 時間: 2025-3-27 16:50 作者: CAPE 時間: 2025-3-27 19:55
Josef Winternitzthe relationship between frames and Riesz bases, and a discussion of various ways to construct frames...Frames and Bases: An Introductory Course. will be an excellent textbook for graduate students as well as a good reference for researchers working in pure and applied mathematics, mathematical phys作者: 清醒 時間: 2025-3-28 00:40
