Resource Type

Journal Article 226

Year

2024 19

2023 25

2022 22

2021 21

2020 7

2019 13

2018 13

2017 12

2016 16

2015 15

2014 4

2013 4

2012 3

2011 3

2010 9

2009 2

2008 6

2007 10

2006 8

2005 2

open ︾

Keywords

Autonomous driving 7

China 5

Adaptive control 4

adaptive control 4

Multi-agent systems 3

Adaptive dynamic programming 2

Connected and automated vehicles 2

Deep reinforcement learning 2

Robust control 2

adaptive 2

application 2

application scenarios 2

driving factors 2

extraction 2

-/ 1

-butene 1

2-DG 1

21st-Century Maritime Silk Road 1

5G technology 1

open ︾

Search scope:

排序: Display mode:

Research on Anthropomorphic Obstacle Avoidance Trajectory Planning for Adaptive Driving Scenarios Based Article

Jian Wu, Yang Yan, Yulong Liu, Yahui Liu

Engineering 2024, Volume 33, Issue 2,   Pages 133-145 doi: 10.1016/j.eng.2023.07.018

Abstract: Therefore, an anthropomorphic obstacle-avoidance trajectory planning strategy for adaptive driving scenariosthe optimization function, and an anthropomorphic obstacle avoidance trajectory planning strategy for adaptivedriving scenarios is proposed.Finally, the proposed strategy is verified based on real driving scenarios.scenarios.

Keywords: Obstacle avoidance trajectory planning     Inverse reinforcement theory     Anthropomorphic     Adaptive drivingscenarios    

Spike-Based Vision for Autonomous Driving Scenarios

Zhang Jiyuan, Zheng Yajing, Yu Zhaofei, Huang Tiejun

Strategic Study of CAE 2024, Volume 26, Issue 1,   Pages 160-177 doi: 10.15302/J-SSCAE-2024.01.012

Abstract:

Autonomous driving is an important research direction in computer visionPure vision perception schemes have significant research value in autonomous driving scenarios.This study focuses on autonomous driving scenarios, introducing the imaging principles, perceptionBesides, focusing on visual tasks related to autonomous driving, this study elaborates on the principlesSpike cameras and their algorithms and systems hold great potentials in the field of autonomous driving

Keywords: spike-based vision     spike camera     autonomous driving     artificial intelligence    

Ranking of design scenarios of TMD for seismically excited structures using TOPSIS

Sadegh ETEDALI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1372-1386 doi: 10.1007/s11709-020-0671-y

Abstract: In this paper, design scenarios of a tuned mass damper (TMD) for seismically excited structures are rankedAccordingly, 10 design scenarios in two cases, namely unconstrained and constrained for the maximum TMDorder performance by similarity to ideal solution (TOPSIS) is utilized for ranking the adopted design scenarios, H of the displacement vector of the structure exhibited optimum ranking among the adopted design scenarios

Keywords: seismic-excited building     TMD     optimum design     PSO     design scenario     TOPSIS    

A dynamic speed guidance method at on-ramp merging areas of urban expressway considering driving styles

Frontiers of Engineering Management 2024, Volume 11, Issue 1,   Pages 92-106 doi: 10.1007/s42524-023-0285-x

Abstract: speeds, the development of a dynamic speed-guidance mechanism that accounts for heterogeneity in human drivingEmpirical results substantiate that a dynamic speed guidance system incorporating driving styles offers

Keywords: driving styles     speed guidance     driving safety assistance     on-ramp merging    

CAV driving safety monitoring and warning via V2X-based edge computing system

Frontiers of Engineering Management 2024, Volume 11, Issue 1,   Pages 107-127 doi: 10.1007/s42524-023-0293-x

Abstract: Driving safety and accident prevention are attracting increasing global interest.we examine the prerequisites for data accuracy and transmission delay to enhance the safety of CAV drivingframework is validated through both simulated and real-world road tests, proving its utility in diverse driving

Keywords: driving safety     accident prevention     connected and automated vehicles     edge computing    

Spatiotemporal evolution and driving factors for GHG emissions of aluminum industry in China

Frontiers in Energy 2023, Volume 17, Issue 2,   Pages 294-305 doi: 10.1007/s11708-022-0819-7

Abstract: Decomposition analysis is also performed to uncover the driving factors of GHG emission generated from

Keywords: aluminum     material flow analysis     GHG (greenhouse gas) emissions     LMDI (logarithmic mean divisa index)    

Mechanism of self-excited torsional vibration of locomotive driving system

Jianxin LIU, Huaiyun ZHAO, Wanming ZHAI

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4,   Pages 465-469 doi: 10.1007/s11465-010-0115-9

Abstract: vibration model were established to investigate the self-excited torsional vibration of a locomotive driving

Keywords: locomotive     driving system     self-excited torsional vibration     mechanism     influence factor    

Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives

Pai ZHENG, Honghui WANG, Zhiqian SANG, Ray Y. ZHONG, Yongkui LIU, Chao LIU, Khamdi MUBAROK, Shiqiang YU, Xun XU

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 137-150 doi: 10.1007/s11465-018-0499-5

Abstract: Second, demonstrative scenarios that pertain to smart design, smart machining, smart control, smart monitoringapplications to Industry 4.0 smart manufacturing systems are reviewed based on these demonstrative scenarios

Keywords: Industry 4.0     smart manufacturing systems     Internet of Things     cyber-physical systems     big data analytics     framework    

Framework, model and algorithm for the global control of urban automated driving traffic

Frontiers of Engineering Management doi: 10.1007/s42524-023-0294-9

Abstract: Automated driving has recently attracted significant attention.As automated driving gains traction, urban traffic control logic is poised for substantial transformationmode, where driving decisions are based on the vehicle’s status and immediate environment.This mode, however, does not fully exploit the potential benefits of automated driving, particularlyThis paper introduces a novel global control mode for urban automated driving traffic.

Keywords: automated driving     urban traffic control     global scheduling mode     autonomous vehicle route planning    

A Hardware Platform Framework for an Intelligent Vehicle Based on a Driving Brain Article

Deyi Li,Hongbo Gao

Engineering 2018, Volume 4, Issue 4,   Pages 464-470 doi: 10.1016/j.eng.2018.07.015

Abstract: The driving map used in intelligent vehicle test platform has no uniform standard, which leads to differentgranularity of driving map information.The sensor information processing module is directly associated with the driving map information anddecision-making module, which leads to the interface of intelligent driving system software module hasmap information are processed by using the formal language of driving cognition to form a driving situation

Keywords: Driving brain     Intelligent driving     Hardware platform framework    

Energy budget and economic analysis in conventional and organic rice production systems and organic scenarios

Hamed MANSOORI, Parviz Rezvani MOGHADDAM, Rooholla MORADI

Frontiers in Energy 2012, Volume 6, Issue 4,   Pages 341-350 doi: 10.1007/s11708-012-0206-x

Abstract: conventional systems in Iran, needed information was collected by face-to-face questionnaire in 2011 and three scenariosfor the transition period but decrease trend in economic indexes was projected for this period in all scenariosThe main reason for decreasing economic indexes in organic scenarios was that the market price of organic

Keywords: energy efficiency     specific energy     net return     Cobb-Douglas function    

Development and application prospects of piezoelectric precision driving technology

ZHAO Chunsheng, ZHANG Jiantao, ZHANG Jianhui, JIN Jiamei

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 2,   Pages 119-132 doi: 10.1007/s11465-008-0034-1

Abstract: driving technology.Electromagnetic driving technology is based on traditional technology, has a low thrust-weight ratio,Non-electromagnetic driving technology is a new choice.As a category of non-electromagnetic driving technology, piezoelectric driving technology becomes animportant branch of modern precision driving technology.

Keywords: Electromagnetic     ultra-precision processing     technology     piezoelectric     cumbrous    

Thoughts and Suggestions on Autonomous Driving Map Policy

Liu Jingnan, Dong Yang, Zhan Jiao, Gao Kefu

Strategic Study of CAE 2019, Volume 21, Issue 3,   Pages 92-97 doi: 10.15302/J-SSCAE-2019.03.004

Abstract:

As a key infrastructure to realize autonomous driving, autonomous drivingmap is crucial to the commercial development of the autonomous driving field in China.Meanwhile, combining the development trends of domestic and international autonomous driving fields,vehicles in China: formulating an autonomous driving map management mode, allowing pilot applicationand orderly opening of autonomous driving maps, appropriately opening up corporate authorization and

Keywords: autonomous driving map     autonomous driving regulation     autonomous driving policy    

A Probabilistic Architecture of Long-Term Vehicle Trajectory Prediction for Autonomous Driving Article

Jinxin Liu, Yugong Luo, Zhihua Zhong, Keqiang Li, Heye Huang, Hui Xiong

Engineering 2022, Volume 19, Issue 12,   Pages 228-239 doi: 10.1016/j.eng.2021.12.020

Abstract: preconditions for autonomous vehicles (AVs) to accomplish reasonable behavioral decisions and guarantee drivingintegrated probabilistic architecture for long-term vehicle trajectory prediction, which consists of a drivingThe DIM is designed and employed to accurately infer the potential driving intention based on a dynamiceffectiveness of our novel approach is demonstrated by conducting experiments on a public naturalistic drivingdataset under lane-changing scenarios.

Keywords: Autonomous driving     Dynamic Bayesian network     Driving intention recognition     Gaussian process     Vehicle    

Reverse driving character of 2-DOF closed chain haptic device

GUO Wei-dong, GUO Xin, ZHANG Yu-ru

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 356-359 doi: 10.1007/s11465-006-0029-8

Abstract: Reverse driving character plays an important role in evaluating the performance of a haptic device, and

Title Author Date Type Operation

Research on Anthropomorphic Obstacle Avoidance Trajectory Planning for Adaptive Driving Scenarios Based

Jian Wu, Yang Yan, Yulong Liu, Yahui Liu

Journal Article

Spike-Based Vision for Autonomous Driving Scenarios

Zhang Jiyuan, Zheng Yajing, Yu Zhaofei, Huang Tiejun

Journal Article

Ranking of design scenarios of TMD for seismically excited structures using TOPSIS

Sadegh ETEDALI

Journal Article

A dynamic speed guidance method at on-ramp merging areas of urban expressway considering driving styles

Journal Article

CAV driving safety monitoring and warning via V2X-based edge computing system

Journal Article

Spatiotemporal evolution and driving factors for GHG emissions of aluminum industry in China

Journal Article

Mechanism of self-excited torsional vibration of locomotive driving system

Jianxin LIU, Huaiyun ZHAO, Wanming ZHAI

Journal Article

Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives

Pai ZHENG, Honghui WANG, Zhiqian SANG, Ray Y. ZHONG, Yongkui LIU, Chao LIU, Khamdi MUBAROK, Shiqiang YU, Xun XU

Journal Article

Framework, model and algorithm for the global control of urban automated driving traffic

Journal Article

A Hardware Platform Framework for an Intelligent Vehicle Based on a Driving Brain

Deyi Li,Hongbo Gao

Journal Article

Energy budget and economic analysis in conventional and organic rice production systems and organic scenarios

Hamed MANSOORI, Parviz Rezvani MOGHADDAM, Rooholla MORADI

Journal Article

Development and application prospects of piezoelectric precision driving technology

ZHAO Chunsheng, ZHANG Jiantao, ZHANG Jianhui, JIN Jiamei

Journal Article

Thoughts and Suggestions on Autonomous Driving Map Policy

Liu Jingnan, Dong Yang, Zhan Jiao, Gao Kefu

Journal Article

A Probabilistic Architecture of Long-Term Vehicle Trajectory Prediction for Autonomous Driving

Jinxin Liu, Yugong Luo, Zhihua Zhong, Keqiang Li, Heye Huang, Hui Xiong

Journal Article

Reverse driving character of 2-DOF closed chain haptic device

GUO Wei-dong, GUO Xin, ZHANG Yu-ru

Journal Article