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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.driving maps in China, i.e., encryption of autonomous driving maps, limitations on geographic informationMeanwhile, combining the development trends of domestic and international autonomous driving fields,driving vehicles in China: formulating an autonomous driving map management mode, allowing pilot application

Keywords： autonomous driving map autonomous driving regulation autonomous driving policy

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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 drivingThis study proposes an online evolutionary decision-making and motion planning framework for autonomousdriving based on a hybrid data- and model-driven method.decision-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 proposed

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

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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: long-term trajectory forecasting of surrounding vehicles is one of the indispensable preconditions for autonomousvehicles (AVs) to accomplish reasonable behavioral decisions and guarantee driving safety.integrated 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 driving

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

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Towards the Unified Principles for Level 5 Autonomous Vehicles Article

Jianqiang Wang, Heye Huang, Keqiang Li, Jun Li

Engineering 2021, Volume 7, Issue 9, Pages 1313-1325 doi: 10.1016/j.eng.2020.10.018

Abstract:

The rapid advance of autonomous vehicles (AVs) has motivated new perspectives and potential challengesCurrently, driving assistance systems of Level 3 and below have been widely produced, and several applicationsdriving.By exploring the physical mechanisms behind high-level autonomous driving systems and analyzing the essenceof driving, we put forward a coordinated and balanced framework based on the brain–cerebellum&

Keywords： Autonomous vehicle Principle of least action Driving safety field Autonomous learning Basic paradigm

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Autonomous Driving in the iCity—HD Maps as a Key Challenge of the Automotive Industry Perspective

Heiko G. Seif, Xiaolong Hu

Engineering 2016, Volume 2, Issue 2, Pages 159-162 doi: 10.1016/J.ENG.2016.02.010

Abstract:

This article provides in-depth insights into the necessary technologies for automated driving in futureEspecially the challenges for the application of HD maps as core technology for automated driving are

Keywords： Autonomous driving Traffic infrastructure iCity Car-to-X communication Connected vehicle HD maps

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Toward Human-in-the-loop AI: Enhancing Deep Reinforcement Learning Via Real-time Human Guidance for AutonomousDriving Article

Jingda Wu, Zhiyu Huang, Zhongxu Hu, Chen Lv

Engineering 2023, Volume 21, Issue 2, Pages 75-91 doi: 10.1016/j.eng.2022.05.017

Abstract: human-guidance-based (Hug)-deep reinforcement learning (DRL) method is developed for policy training in an end-to-end autonomousdriving case.

Keywords： Human-in-the-loop AI Deep reinforcement learning Human guidance Autonomous driving

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Semantic Consistency and Correctness Verification of Digital Traffic Rules

Lei Wan,Changjun Wang,Daxin Luo,Hang Liu,Sha Ma,Weichao Hu,

Engineering doi: 10.1016/j.eng.2023.04.016

Abstract: The consensus of the automotive industry and traffic management authorities is that autonomous vehiclesdigital methods, natural language traffic rules can be translated into machine language and used by autonomousrules utilizing metric temporal logic (MTL) can be easily incorporated into simulation platforms and autonomousdriving systems (ADS).

Keywords： Autonomous driving Traffic rules Digitization Formalization Verification

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Large-Scale Vehicle Platooning: Advances and Challenges in Scheduling and Planning Techniques Review

Jing Hou, Guang Chen, Jin Huang, Yingjun Qiao, Lu Xiong, Fuxi Wen, Alois Knoll, Changjun Jiang

Engineering 2023, Volume 28, Issue 9, Pages 26-48 doi: 10.1016/j.eng.2023.01.012

Abstract: The gradual maturation of platoon control technology is enabling vehicle platoons to achieve basic driving

Keywords： Autonomous vehicle platoon Autonomous driving Connected and automated vehicles Scheduling and planning

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Experiments on a Secondary Regulated Loading System

Zhan Xingqun,Zhang Yanhua,Zhao Keding

Strategic Study of CAE 2001, Volume 3, Issue 11, Pages 70-73

Abstract:

With secondary regulation, a novel hydraulic transmission technology, the secondary regulated loading

Keywords： hydrostatic driving secondary regulation loading experiments

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Study on Control Characteristics of a Secondary Regulated Loading System

Zhan Xingqun,Zhang Yanhua,Zhao Keding

Strategic Study of CAE 2000, Volume 2, Issue 7, Pages 47-54

Abstract:

Secondary regulation is novel hydraulic transmission technology which possesses many outstanding advantagesResearches in secondary regulation technology will have no hesitation to enlarge the application scopeTorque servo loading system is a typical equipment in secondary regulation research with; briniant applicationsecondary regulated torque loading system in detail, some nature dynamic characteristics of secondary regulation

Keywords： hydrostatic driving secondary regulation loading mathematical model dynamic characteristics

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Moving policy and regulation forward for single-use plastic alternatives

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 3, doi: 10.1007/s11783-021-1423-5

Abstract: Single-use plastics are often used once or cannot be reused for extended periods. They are widely consumed with the rapid development of social economy. The waste generated by single-use plastics threatens ecosystem health by entering the environment and ultimately restricts sustainable human development. The innovation of sustainable and environmentally friendly single-use plastic alternative materials and the joint participation of governments, enterprises and the public are promising technologies and management approaches that can solve the problem of single-use plastics wastes. The development of single-use plastic alternative products can be promoted fundamentally only by improving relevant legislation and standards, providing differentiated industrial policies, encouraging scientific and technological innovation and expanding public participation.

Keywords： Single-use plastic alternatives Policy Regulation Sustainable development

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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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Phase transition regulation and caloric effect

Frontiers in Energy 2023, Volume 17, Issue 4, Pages 463-477 doi: 10.1007/s11708-023-0860-1

Abstract: Solid state refrigeration based on caloric effect is regarded as a potential candidate for replacing vapor-compression refrigeration. Numerous methods have been proposed to optimize the refrigeration properties of caloric materials, of which single field tuning as a relatively simple way has been systemically studied. However, single field tuning with few tunable parameters usually obtains an excellent performance in one specific aspect at the cost of worsening the performance in other aspects, like attaining a large caloric effect with narrowing the transition temperature range and introducing hysteresis. Because of the shortcomings of the caloric effect driven by a single field, multifield tuning on multicaloric materials that have a coupling between different ferro-orders came into view. This review mainly focuses on recent studies that apply this method to improve the cooling performance of materials, consisting of enlarging caloric effects, reducing hysteresis losses, adjusting transition temperatures, and widening transition temperature spans, which indicate that further progress can be made in the application of this method. Furthermore, research on the sign of lattice and spin contributions to the magnetocaloric effect found new phonon evolution mechanisms, calling for more attention on multicaloric effects. Other progress including improving cyclability of FeRh alloys by introducing second phases and realizing a large reversible barocaloric effect by hybridizing carbon chains and inorganic groups is described in brief.

Keywords： phase transition regulation caloric effect solid state refrigeration

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The function and regulation of OTU deubiquitinases

Jiansen Du, Lin Fu, Yingli Sui, Lingqiang Zhang

Frontiers of Medicine 2020, Volume 14, Issue 5, Pages 542-563 doi: 10.1007/s11684-019-0734-4

Abstract: character, structure and function of OTUs, such as the substrate specificity and catalytic activity regulation

Keywords： ubiquitin OTU deubiquitinases structure function regulation

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An autonomous miniature wheeled robot based on visual feedback control

CHEN Haichu

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 2, Pages 197-200 doi: 10.1007/s11465-007-0033-7

Abstract: micro-motors, a novel omni-direction miniature wheeled robot is designed on the basis of the bi-corner drivingvisual navigation and control system allow the robot to navigate and track the target and to accomplish autonomous

Keywords： measuring distance autonomous locomotion advantage navigation