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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 dynamicprocess (GP)-based TPM, considering both the short-term prediction results of the vehicle model and the drivingeffectiveness of our novel approach is demonstrated by conducting experiments on a public naturalistic driving

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

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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)    

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Multiobjective image recognition algorithm in the fully automatic die bonder

JIANG Kai, CHEN Hai-xia, YUAN Sen-miao

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 313-316 doi: 10.1007/s11465-006-0026-y

Abstract: It is a very important task to automatically fix the number of die in the image recognition system ofA multiobjective image recognition algorithm based on clustering Genetic Algorithm (GA), is proposedAs a result, time consumed by one image recognition is shortened, the performance of the image recognition

Keywords： clustering     different     recognition algorithm     Algorithm     multiobjective    

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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    

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Advances in tissue state recognition in spinal surgery: a review

Hao Qu, Yu Zhao

Frontiers of Medicine 2021, Volume 15, Issue 4,   Pages 575-584 doi: 10.1007/s11684-020-0816-3

Abstract: has become the focus of spinal surgery research so as to strengthen the objectivity of tissue state recognitionThis article reviews the progress of different tissue state recognition methods in spinal surgery and

Keywords： spinal surgery     tissue state recognition     image     force sensing     bioelectrical impedance    

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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    

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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    

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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    

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A driving pulse edge modulation technique and its complex programming logic devices implementation

Xiao CHEN,Dong-chang QU,Yong GUO,Guo-zhu CHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12,   Pages 1088-1098 doi: 10.1631/FITEE.1500111

Abstract: This paper describes a new technique of driving pulse edge modulation for insulated gate bipolar transistorsdensity and width of the pulse trains, without regulating the hardware circuit, the slope of the gate drivingThis technique is used in the driving circuit based on complex programmable logic devices (CPLDs), and

Keywords： Driving pulse edge modulation     Switching voltage spike     Complex programmable logic device (CPLD)     Active    

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View-invariant human action recognition via robust locally adaptive multi-view learning

Jia-geng FENG,Jun XIAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11,   Pages 917-920 doi: 10.1631/FITEE.1500080

Abstract: Human action recognition is currently one of the most active research areas in computer vision.However, some extrinsic factors are barriers for the development of action recognition; e.g., human actionsThus, view-invariant analysis becomes important for action recognition algorithms, and a number of researchersExperiments on three public view-invariant action recognition datasets, i.e., ViHASi, IXMAS, and WVU,proposed algorithm stably outperforms state-of-the-art counterparts and obtains about 6% improvement in recognition

Keywords： View-invariant     Action recognition     Multi-view learning     L1-norm     Local learning    

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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
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Driving mechanism and boundary control of urban sprawl

Dongmei JIANG,Xiaoshun LI,Futian QU,Mingyan LI,Shaoliang ZHANG,Yunlong GONG,Xiaoping SHI,Xin CHEN

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 2,   Pages 298-309 doi: 10.1007/s11783-014-0639-z

Abstract: Since the reform and opening-up, China’s economy has achieved remarkable development and so does the urbanization. However, there is an unavoidable contradiction between urban sprawl and the protection of arable land and the environment. By redefining the urban sprawl boundary, this paper is to provide a solution for the conflict above on the China’s urbanization context. The ideal boundary, moderate boundary and limit boundary are defined for urban sprawl in space. Taking Nanjing city as a case, the three urban sprawl boundaries are estimated in this paper based on the calculation of agricultural land resources value in Nanjing. The results show that 1) the integrated value of agricultural (cultivated) land resources in Nanjing is 1.55 × 10 CNY·hm , the economic value accounts for only 8.74% of the integrated value, while 91.26% of the integrated value has not revealed itself due to the existing institutional arrangements, policy distortions, and imperfect land market; 2) it is difficult to define the ideal and moderate boundaries due to the relatively low price of North Nanjing. In South Nanjing the land price is expensive and the ideal, moderate and limit boundaries are expanded to Jiangning, Qixia, and Yuhuatai; 3) the city scale of South Nanjing should be limited within 5.82 × 10 hm , which is roughly the same as the designated size of 5.81 × 10 hm in the urban planning. It is suggested that the rational scope of urban expansion should be controlled within the moderate boundary.

Keywords： urban sprawl     rational expansion     driving forces     boundary control     Nanjing    

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Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1430-6

Abstract:

• UV-vis absorption analyzer was applied in drainage type online recognition

Keywords： Drainage online recognition     UV-vis spectra     Derivative spectrum     Convolutional neural network    

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Face recognition based on subset selection via metric learning on manifold

Hong SHAO,Shuang CHEN,Jie-yi ZHAO,Wen-cheng CUI,Tian-shu YU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12,   Pages 1046-1058 doi: 10.1631/FITEE.1500085

Abstract: With the development of face recognition using sparse representation based classification (SRC), many

Keywords： Face recognition     Sparse representation     Manifold structure     Metric learning     Subset selection    

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Evolutionary Decision-Making and Planning for Autonomous Driving Based on Safe and Rational Exploration

Kang Yuan,Yanjun Huang,Shuo Yang,Zewei Zhou,Yulei Wang,Dongpu Cao,Hong Chen,

Engineering doi: 10.1016/j.eng.2023.03.018

Abstract: Decision-making and motion planning are extremely important in autonomous driving to ensure safe drivingstudy proposes an online evolutionary decision-making and motion planning framework for autonomous drivingdecision-making module based on deep reinforcement learning (DRL) is developed to pursue a rational drivingFinally, two principles of safety and rationality for the self-evolution of autonomous driving are proposedthe proposed online-evolution framework is able to generate safer, more rational, and more efficient driving

Keywords： Autonomous driving     Decision-making     Motion planning     Deep reinforcement learning     Model predictive control    

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Title Author Date Type Operation

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

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

Journal Article

Multiobjective image recognition algorithm in the fully automatic die bonder

JIANG Kai, CHEN Hai-xia, YUAN Sen-miao

Journal Article

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

Deyi Li,Hongbo Gao

Journal Article

Advances in tissue state recognition in spinal surgery: a review

Hao Qu, Yu Zhao

Journal Article

Mechanism of self-excited torsional vibration of locomotive driving system

Jianxin LIU, Huaiyun ZHAO, Wanming ZHAI

Journal Article

Thoughts and Suggestions on Autonomous Driving Map Policy

Liu Jingnan, Dong Yang, Zhan Jiao, Gao Kefu

Journal Article

Development and application prospects of piezoelectric precision driving technology

ZHAO Chunsheng, ZHANG Jiantao, ZHANG Jianhui, JIN Jiamei

Journal Article

A driving pulse edge modulation technique and its complex programming logic devices implementation

Xiao CHEN,Dong-chang QU,Yong GUO,Guo-zhu CHEN

Journal Article

View-invariant human action recognition via robust locally adaptive multi-view learning

Jia-geng FENG,Jun XIAO

Journal Article

Reverse driving character of 2-DOF closed chain haptic device

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

Journal Article

Driving mechanism and boundary control of urban sprawl

Dongmei JIANG,Xiaoshun LI,Futian QU,Mingyan LI,Shaoliang ZHANG,Yunlong GONG,Xiaoping SHI,Xin CHEN

Journal Article

Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm

Journal Article

Face recognition based on subset selection via metric learning on manifold

Hong SHAO,Shuang CHEN,Jie-yi ZHAO,Wen-cheng CUI,Tian-shu YU

Journal Article

Evolutionary Decision-Making and Planning for Autonomous Driving Based on Safe and Rational Exploration

Kang Yuan,Yanjun Huang,Shuo Yang,Zewei Zhou,Yulei Wang,Dongpu Cao,Hong Chen,

Journal Article