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Future vehicles: learnable wheeled robots

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Science China(Information Sciences) 2020年第9期63卷 255-262页

作者： deyi li Nan MA Yue GAO Academy of Military Science Beijing Key Laboratory of Information Service Engineering Beijing Union University College of Robotics Beijing Union University School of Software Tsinghua University

As one of the important signs of the third wave of artificial intelligence, wheeled robots not only inherit knowledge but also learn independently, which brings about to learnable wheeled robots that use a driving brain to achieve data-driven control and learning. Presently, most existing technologies for selfdriving vehicles can learn positively from the benchmark drivers to guarantee safe driving. However, in many unpredicted situations, such as rollover, human drivers often cause the behavior of irrational subconscious on account of human emotions like panic. In this paper, we propose a learnable wheeled robot using the driving brain by taking the rollover as an example, which is the most serious and dangerous situation in dynamic vehicle operations. Then, based on the analysis of rollover accidents, we utilize the driving brain reversely and conduct negative learning, materializing, and condensing the group intelligence of accident experts, to solve the problem of the lack of individual intelligence in emergencies and further promote real-time response to other dangerous conditions, such as puncture for self-driving vehicles.

关键词： wheeled robots driving brain swarm intelligence negative learning data-driven self-learning

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

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Engineering 2018年第4期4卷 464-470页

作者： deyi li Hongbo Gao Department of Computer Science and Technology Tsinghua University Beijing 100084 China State Key Laboratory of Automotive Safety and Energy Tsinghua University Beijing 100084 China Center for Intelligent Connected Vehicles and Transportation Tsinghua University Beijing 100084 China

The type, model, quantity, and location of sensors installed on the intelligent vehicle test platform are different, resulting in different sensor information processing modules. The driving map used in intelligent vehicle test platform has no uniform standard, which leads to different granularity of driving map information. The sensor information processing module is directly associated with the driving map information and decision-making module, which leads to the interface of intelligent driving system software module has no uniform standard. Based on the software and hardware architecture of intelligent vehicle, the sensor information and driving map information are processed by using the formal language of driving cognition to form a driving situation graph cluster and output to a decision-making module, and the output result of the decision-making module is shown as a cognitive arrow cluster, so that the whole process of intelligent driving from perception to decision-making is completed. The formalization of driving cognition reduces the influence of sensor type, model, quantity, and location on the whole software architecture, which makes the software architecture portable on different intelligent driving hardware platforms.

关键词：智能车辆测试平台传感器产品介绍设计方案

Why AI still doesn't have consciousness?

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CAAI Transactions on Intelligence Technology 2021年第2期6卷 175-179页

作者： deyi li Wen He Yike Guo Department of Computer Science and Technology Tsinghua UniversityBeijingChina Instltute of Systems Engineering Academy of Military SciencesPLABeijingChina Data Science Institute Imperial College LondonUK Hongkong Baptist University Hong KongChina

Consciousness is one of the unique features of creatures,and is also the root of biological intelligence.Up to now,all machines and robots havenJt had consciousness.Then,will the artificial intelligence(AI)be conscious?Will robots have real intelligence without consciousness?The most primitive consciousness is the perception and expression of selfexistence.In order to perceive the existence of the concept of‘Ij,a creature must first have a perceivable boundary such as skin to separate‘I’from‘non-1’.For robots,to have the self-awareness,they also need to be wrapped by a similar sensory membrane.Nowadays,as intelligent tools,AI systems should also be regarded as the external extension of human intelligence.These tools are unconscious.The development of AI shows that intelligence can exist without consciousness.When human beings enter into the era of life intelligence from AI,it is not the AI became conscious,but that conscious lives will have strong AI.Therefore,it becomes more necessary to be careful on applying AI to living creatures,even to those lower-level animals with only consciousness.The subversive revolution of such application may produce more careful thinking.

关键词： intelligence consciousness conscious

Challenges and countermeasures of interaction in autonomous vehicles

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Science China(Information Sciences) 2019年第5期62卷 5-7页

作者： deyi li Meng liU Fei ZHAO Yu liU State Key Laboratory of Software Development Environment School of Computer Science and EngineeringBeihang University Chinese Academy of Engineering School of Transportation Science and Engineering Beihang University

Autonomous vehicles can bring changes into ways of traveling, traffic, and even production modes [1].At present, the majority of researches [2] on autonomous vehicles are limited in perception, planning, decision-making and other calculation front,while interactive cognitive perspective is barely looked into. The interactive sector involved in self-driving is rather sophisticated [3]. However,

关键词： Challenges and countermeasures of interaction in autonomous vehicles

科教融汇视域下高职院校社会服务能力提升研究

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教育与职业 2024年第4期1052卷 21-26页

作者：李德义邹淑燕张燕青济南工程职业技术学院山东济南250200 山东中医药大学山东济南250355

社会服务是高职院校的重要职能之一。在分析科教融汇的内涵及其理念对高职院校社会服务能力提升的适切性基础上,梳理高职院校社会服务的开展情况,剖析存在的科研定位不准、社会服务意识较弱、应用技术服务能力不强、技术成果转化率偏低... 详细信息

社会服务是高职院校的重要职能之一。在分析科教融汇的内涵及其理念对高职院校社会服务能力提升的适切性基础上,梳理高职院校社会服务的开展情况,剖析存在的科研定位不准、社会服务意识较弱、应用技术服务能力不强、技术成果转化率偏低等问题,进而从体制机制创新、高水平专业群建设、师资队伍建设、评价与激励、社会服务模式创新等方面提出提升社会服务能力的对策,有助于进一步优化高职院校的社会服务职能。

关键词：职业教育高职院校社会服务能力科教融汇

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Electric transmission behavior of self-assembled Cu–W nano multilayers

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Progress in Natural Science:Materials International 2021年第1期31卷 25-32页

作者： Mengzhao Yang Tianle Xie licai Fu Jiajun Zhu Wulin Yang deyi li lingping Zhou College of Material Science and Engineering Hunan University

Metallic nano multilayers were usually prepared by dual targets alternating deposition method. In this paper, a series of self-assembled Cu–W nano multilayers with different modulation periods were deposited on single crystal silicon substrate by dual targets confocal magnetron sputtering technique. The self-assembled film presented an alternation of W-rich layer and Cu-rich layer. The degree of coherence of the layered interface can be adjusted by controlling both the solid solubility of W-rich and Cu-rich layers. The film resistance increment of the self-assembled Cu–W multilayers is only 14% when the modulation period decreases from 68.2 nm to 5.3 nm,having less size effect compared to the film prepared by alternating deposition method. It noticed that the film resistance even decreased slightly when the modulation period decreased to below 5.3 nm. These results suggested that the coherence could weak the interface scattering ability to electrons, so the self-assembled Cu–W multilayers have lower resistance than the multilayer prepared by alternating deposition technique. This study presented a new pathway to enhance the conductivity of the multilayers.

关键词： Self-assembling Cu–W nano Multilayer Resistivity Interface F–S model

Future vehicles: interactive wheeled robots

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Science China(Information Sciences) 2021年第5期64卷 212-214页

作者： Nan MA deyi li Wen HE Yue DENG Jiahong li Yue GAO Hong BAO Huan ZHANG Xinkai XU Yuansheng liU Zhixuan WU li CHEN Beijing Key Laboratory of Information Service Engineering Beijing Union University College of Robotics Beijing Union University Institute of System Engineering Academy of Military Science School of Astronautics Beihang University School of Software Tsinghua University Smart City College Beijing Union University Demonstration Center of Experimental Teaching in Comprehensive Engineering Beijing Union University

Owing to the lack of variety of interactions in automatic driving, the interactive cognition and evolution growth of self-driving vehicles in uncertain and complex environments have been proposed, making future vehicl... 详细信息

关键词： interactive cognition evolution growth wheeled robots prior knowledge driving skills

Merits and limitations of TiO2-based photocatalytic pretreatment of soils impacted by crude oil for expediting bioremediation

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Frontiers of Chemical Science and Engineering 2017年第3期11卷 387-394页

作者： Yu Yang Hassan Javed Danning Zhang deyi li Roopa Kamath Kevin McVey Kanwartej Sra Pedro J.J. Alvarez Department of Civil and Environmental Engineering Rice University Houston TX 77005 USA Department of Chemistry Rice University Houston TX 77005 USA Department of Civil and Environmental Engineering Tongji University Shanghai 200092 China Chevron Energy Technology Company Houston TX 77002 USA

Heavy hydrocarbons （HHCs） in soils impacted by crude oil spills are generally recalcitrant to biodegrada- tion due to their low bioavailability and complex chemical structure. In this study, soils were pretreated with varying concentrations of ultraviolet radiation A （UVA） or ultraviolet radiation C （UVC） activated titanium dioxide （TiO2）（1%-5%） under varying moisture conditions （0%- 300% water holding capacity （WHC）） to enhance biodegradation of HCCs and shorten remediation time- frames. We demonstrate that pretreatment of impacted soils with UVC-activated TiO2 in soil slurries could enhance bioremediation of HHCs. Total petroleum hydrocarbon （TPH） removal after 24 h exposure to UVC （254 nm and 4.8 mW/cm2） was （19.15：1.6）% in slurries with 300% WHC and 5 wt-% TiO2. TPH removal was non-selective in the C15-C36 range and increased with moisture content and TiO2 concentration. In a 10-d bioremediation test, TPH removal in treated soil increased to （26.05：0.9）%, compared to （15.45：0.8）% for controls without photo- catalytic pre-treatment. Enhanced biodegradation was also confirmed by respirometry. This suggests that addition of UVC-activated TiO2 to soil slurries can transform recalcitrant hydrocarbons into more bioavailable and biodegradable byproducts and increase the rate of subsequent biodegradation. However, similar results were not observed for soils pretreated with UVA activated TiO2. This suggests that activation of TiO2 by sunlight and direct addition of TiO2 to unsaturated soils within landfarming setting may not be a feasible approach. Nevertheless, less than 1% of UVA （7.5 mW/cm2） or UVC （1.4 mW/cm2） penetrated beyond 0.3 cm soil depth, indicating that limited light penetration through soil would hinder the ability of TiO2 to enhance soil bioremediation under land farming conditions.

关键词： ZiO2 pretreatment bioremediation total petroleum hydrocarbons ultraviolet

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智能飞行汽车关键技术及发展趋势

中国科学：技术科学 2024年第4期54卷 601-624页

作者：张新钰荣松松李骏李德毅刘华平黄元昊黄康尧罗建曦清华大学车辆与运载学院北京100084 清华大学计算机科学与技术系北京100084 清华大学猛狮无人驾驶实验室北京100084 新加坡科技设计大学数据驱动创新实验室新加坡487372

城市立体交通是未来智慧出行发展的热点方向,近年来受到了广泛的关注.作为城市立体交通的载体,智能飞行汽车融合了飞机与汽车两种运动模态,能够灵活地在空中与地面进行切换.本文介绍了智能飞行汽车的背景、历史与现状,阐述了其与城市空... 详细信息

城市立体交通是未来智慧出行发展的热点方向,近年来受到了广泛的关注.作为城市立体交通的载体,智能飞行汽车融合了飞机与汽车两种运动模态,能够灵活地在空中与地面进行切换.本文介绍了智能飞行汽车的背景、历史与现状,阐述了其与城市空中交通载具的区别,分析与讨论了飞行汽车的系统设计,并介绍了智能飞行汽车的关键技术创新,包括动力技术和机电总体设计、多模态切换、模块复用与飞车脑认知等.重点讨论了飞行汽车的智能化技术,包括近地感知、决策与规划、智能控制与智能通信系统的关键技术与瓶颈.最后,结合现有技术,对智能飞行汽车的技术进行了剖析,并讨论了潜在的解决方案与发展趋势.

关键词：智能飞行汽车城市立体交通飞车脑认知多模态切换智能化技术

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