Resource Type

Journal Article 69

Year

2022 7

2021 5

2020 4

2019 11

2018 4

2017 8

2016 3

2015 4

2014 3

2013 1

2011 2

2010 2

2009 4

2008 2

2007 2

2006 1

2002 1

2000 1

open ︾

Keywords

Autonomous driving 3

Autonomous 2

Autonomous learning 2

Autonomous vehicle 2

Route planning 2

AUV 1

Active vision 1

Adaptive control 1

Adaptive network fuzzy inference system 1

Additive white Gaussian noise 1

Aerodynamic shape tailoring 1

Artificial intelligence 1

Artificial intelligence 2.0 1

Auditory perception 1

Autonomous exploration 1

Autonomous morphing 1

Autonomous navigation 1

Autonomous robot retrieval 1

Autonomous underwater glider (AUG) 1

open ︾

Search scope:

排序: Display mode:

Toward autonomous mining: design and development of an unmanned electric shovel via point cloud-based

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0686-2

Abstract: In the field of autonomous excavation, environmental perception and excavation trajectory planning areThen, by establishing the dynamical model of the UES, a point to point (PTP) excavation trajectory planningBased on optimal trajectory command, the UES performs autonomous excavation.Compared with the common excavation trajectory planning approaches, the proposed method tends to be morecapable in terms of mining time and energy consumption, ensuring high-performance excavation of the

Keywords: autonomous excavation     unmanned electric shovel     point cloud     excavation trajectory planning    

Prediction of characteristic blast-induced vibration frequency during underground excavation by using

Frontiers of Structural and Civil Engineering doi: 10.1007/s11709-022-0861-x

Abstract: In this study, blasting vibration signals were measured during underground excavation in carbonaceous

Keywords: wavelet analysis     blast-induced vibration     frequency characteristics     underground excavation    

Influencing factors and control measures of excavation on adjacent bridge foundation based on analytic

Shuangxi FENG, Huayang LEI, Yongfeng WAN, Haiyan JIN, Jun HAN

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 461-477 doi: 10.1007/s11709-021-0705-0

Abstract: Many uncertain factors in the excavation process may lead to excessive lateral displacement or over-limitedIt was found that the excavation depth and the distance between the foundation pit and the bridge foundation

Keywords: deep foundation pit excavation     adjacent bridge foundation     influencing factors     analytic hierarchy process    

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: visual navigation and control system allow the robot to navigate and track the target and to accomplish autonomous

Keywords: measuring     distance     autonomous locomotion     advantage     navigation    

Shanghai center project excavation induced ground surface movements and deformations

Guolin XU, Jiwen ZHANG, Huang LIU, Changqin REN

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 1,   Pages 26-43 doi: 10.1007/s11709-017-0439-1

Abstract: instrumentation program lasting 14 months was conducted to monitor the behaviors of this deep circular excavation

Keywords: deep excavation     foundation pit     soft clay     top-down method     field observation     ground surface movements     ground    

Extended model predictive control scheme for smooth path following of autonomous vehicles

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 4-4 doi: 10.1007/s11465-021-0660-4

Abstract: presents an extended model predictive control (MPC) scheme for implementing optimal path following of autonomousconstraints, which can improve the path following quality for better ride comfort and road availability of autonomous

Keywords: autonomous vehicles     vehicle dynamic modeling     model predictive control     path following     optimization    

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 challengesautomation level and vehicle intelligence, these systems
can be further advanced towards fully autonomousBy exploring the physical mechanisms behind high-level autonomous driving systems and analyzing the essencemode relying on the crow inference and parrot imitation approach, we explore the research paradigm of autonomous

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

Thoughts and Suggestions on Autonomous Driving Map Policy

Liu Jingnan, Dong Yang, Zhan Jiao, Gao Kefu

Strategic Study of Chinese Academy of Engineering 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,and orderly opening of autonomous driving maps, appropriately opening up corporate authorization and

Keywords: autonomous driving map     autonomous driving regulation     autonomous driving policy    

Toward human-in-the-loop AI: Enhancing deep reinforcement learning via real-time human guidance for autonomous

Jingda Wu,Zhiyu Huang,Zhongxu Hu,Chen Lv,

Engineering 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 autonomous

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

Longitudinal and lateral slip control of autonomous wheeled mobile robot for trajectory tracking

Hamza KHAN,Jamshed IQBAL,Khelifa BAIZID,Teresa ZIELINSKA

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 2,   Pages 166-172 doi: 10.1631/FITEE.1400183

Abstract: This research formulates a path-following control problem subjected to wheel slippage and skid and solves it using a logic-based control scheme for a wheeled mobile robot (WMR). The novelty of the proposed scheme lies in its methodology that considers both longitudinal and lateral slip components. Based on the derived slip model, the controller for longitudinal motion slip has been synthesized. Various control parameters have been studied to investigate their effects on the performance of the controller resulting in selection of their optimum values. The designed controller for lateral slip or skid is based on the proposed side friction model and skid check condition. Considering a car-like WMR, simulation results demonstrate the effectiveness of the proposed control scheme. The robot successfully followed the desired circular trajectory in the presence of wheel slippage and skid. This research finds its potential in various applications involving WMR navigation and control.

Keywords: Robot modeling     Robot navigation     Slip and skid control     Wheeled mobile robots    

Advanced finite element analysis of a complex deep excavation case history in Shanghai

Yuepeng DONG, Harvey BURD, Guy HOULSBY, Yongmao HOU

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 1,   Pages 93-100 doi: 10.1007/s11709-014-0232-3

Abstract: Square Shopping Center of the Shanghai South Railway Station is a large scale complex top-down deep excavationThe excavation is adjacent to several current and newly planned Metro lines, and influenced by a neighboringExchange Station excavation.The highly irregular geometry of this excavation greatly increases the complexity in 3D Finite Elementconcrete floor slabs and beams, 4) the complex construction sequences, and 5) the shape effect of the deep excavation

Keywords: advanced finite element analysis     deep excavations     case history     small-strain stiffness    

The analysis & effect of excavation of rock by controlled blastingin the Olympic Games flying saucer

Shen Zhenyu,Zhang Pengjun,Wang Xuguang,Yu Yalun

Strategic Study of Chinese Academy of Engineering 2009, Volume 11, Issue 11,   Pages 13-16

Abstract:

The application of the technique of the excavation by long-hole type

Keywords: excavation of rock     long-hole type blasting     presplitting blasting     overbreak rock    

Application of random set method in a deep excavation: based on a case study in Tehran cemented alluvium

Arash SEKHAVATIAN, Asskar Janalizadeh CHOOBBASTI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 66-80 doi: 10.1007/s11709-018-0461-y

Abstract: The design of high-rise buildings often necessitates ground excavation, where buildings are in closeThis paper studies an efficient user-friendly framework for dealing with uncertainties in a deep excavation

Keywords: uncertainty     reliability analysis     deep excavations     random set method     finite difference method    

Current situation and development of wind power in China

BAO Nengsheng, NI Weidou

Frontiers in Energy 2007, Volume 1, Issue 4,   Pages 371-383 doi: 10.1007/s11708-007-0056-4

Abstract: Many regions such as Xinjiang Uygur Autonomous Region, Inner Mongolia Autonomous Region and southeast

Keywords: Xinjiang     current development     Mongolia Autonomous     southeast coastal     Autonomous    

A probabilistic architecture of long-term vehicle trajectory prediction for autonomous driving

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

Engineering doi: 10.1016/j.eng.2021.12.020

Abstract: long-term trajectory forecasting of surrounding vehicles is one of the indispensable preconditions for autonomous

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

Title Author Date Type Operation

Toward autonomous mining: design and development of an unmanned electric shovel via point cloud-based

Journal Article

Prediction of characteristic blast-induced vibration frequency during underground excavation by using

Journal Article

Influencing factors and control measures of excavation on adjacent bridge foundation based on analytic

Shuangxi FENG, Huayang LEI, Yongfeng WAN, Haiyan JIN, Jun HAN

Journal Article

An autonomous miniature wheeled robot based on visual feedback control

CHEN Haichu

Journal Article

Shanghai center project excavation induced ground surface movements and deformations

Guolin XU, Jiwen ZHANG, Huang LIU, Changqin REN

Journal Article

Extended model predictive control scheme for smooth path following of autonomous vehicles

Journal Article

Towards the Unified Principles for Level 5 Autonomous Vehicles

Jianqiang Wang, Heye Huang, Keqiang Li, Jun Li

Journal Article

Thoughts and Suggestions on Autonomous Driving Map Policy

Liu Jingnan, Dong Yang, Zhan Jiao, Gao Kefu

Journal Article

Toward human-in-the-loop AI: Enhancing deep reinforcement learning via real-time human guidance for autonomous

Jingda Wu,Zhiyu Huang,Zhongxu Hu,Chen Lv,

Journal Article

Longitudinal and lateral slip control of autonomous wheeled mobile robot for trajectory tracking

Hamza KHAN,Jamshed IQBAL,Khelifa BAIZID,Teresa ZIELINSKA

Journal Article

Advanced finite element analysis of a complex deep excavation case history in Shanghai

Yuepeng DONG, Harvey BURD, Guy HOULSBY, Yongmao HOU

Journal Article

The analysis & effect of excavation of rock by controlled blastingin the Olympic Games flying saucer

Shen Zhenyu,Zhang Pengjun,Wang Xuguang,Yu Yalun

Journal Article

Application of random set method in a deep excavation: based on a case study in Tehran cemented alluvium

Arash SEKHAVATIAN, Asskar Janalizadeh CHOOBBASTI

Journal Article

Current situation and development of wind power in China

BAO Nengsheng, NI Weidou

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