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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 autonomousvehicles, which has multiple constraints and an integrated model of vehicle and road dynamics.Road curvature and inclination factors are used in the construction of the vehicle dynamic model to describeSideslip, rollover, and vehicle envelopes are used as multiple constraints in the MPC controller formulationconstraints, 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    

Toward Trustworthy Decision-Making for Autonomous Vehicles: A Robust Reinforcement Learning Approach

Xiangkun He,Wenhui Huang,Chen Lv,

Engineering doi: 10.1016/j.eng.2023.10.005

Abstract: While autonomous vehicles are vital components of intelligent transportation systems, ensuring the trustworthinessof decision-making remains a substantial challenge in realizing autonomous driving.robust reinforcement learning approach with safety guarantees to attain trustworthy decision-making for autonomousMoreover, we devise a safety mask to guarantee the collision safety of the autonomous driving agent duringThese results indicate that the autonomous driving agent can make trustworthy decisions and drastically

Keywords: Autonomous vehicle     Decision-making     Reinforcement learning     Adversarial attack     Safety guarantee    

General Optimal Trajectory Planning: Enabling Autonomous Vehicles with the Principle of Least Action

Heye Huang,Yicong Liu,Jinxin Liu,Qisong Yang,Jianqiang Wang,David Abbink,Arkady Zgonnikov,

Engineering doi: 10.1016/j.eng.2023.10.001

Abstract: This study presents a general optimal trajectory planning (GOTP) framework for autonomous vehicles (AVsConsidering the road constraints and vehicle dynamics, limited polynomial candidate trajectories are

Keywords: Autonomous vehicle     Trajectory planning     Multi-performance objectives     Principle of least action    

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 challengesBy improving the automation level and vehicle intelligence, these systems
can be further advancedtowards fully autonomous driving.By 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    

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:

Through vehicle-to-vehicle (V2V) communication, autonomizinga vehicle platoon can significantly reduce the distance between vehicles, thereby reducing air resistanceThe gradual maturation of platoon control technology is enabling vehicle platoons to achieve basic drivingfunctions, thereby permitting large-scale vehicle platoon scheduling and planning, which is essentialScheduling and planning are required in many aspects of vehicle platoon operation; here, we outline the

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

Development and deep-sea exploration of the Haidou-1

Frontiers of Engineering Management   Pages 546-549 doi: 10.1007/s42524-023-0260-6

Abstract: Development and deep-sea exploration of the Haidou-1

Keywords: hadal zone     autonomous and remotely-operated vehicle     integrated exploration operation     deep dive exceeding    

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 autonomousIn this paper, we propose an integrated probabilistic architecture for long-term vehicle trajectory predictionThe proposed DIM incorporates the basic traffic rules and multivariate vehicle motion information.develop a Gaussian process (GP)-based TPM, considering both the short-term prediction results of the vehicle

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

Robust global route planning for an autonomous underwater vehicle in a stochastic environment Research Article

Jiaxin ZHANG, Meiqin LIU, Senlin ZHANG, Ronghao ZHENG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 11,   Pages 1658-1672 doi: 10.1631/FITEE.2200026

Abstract:

This paper describes a route planner that enables an to selectively complete part of the predetermined tasks in the operating ocean area when the local path cost is stochastic. The problem is formulated as a variant of the . Based on the (GA), we propose the greedy strategy based GA (GGA) which includes a novel rebirth operator that maps infeasible individuals into the feasible solution space during evolution to improve the efficiency of the optimization, and use a differential evolution planner for providing the deterministic local path cost. The uncertainty of the local path cost comes from unpredictable obstacles, measurement error, and trajectory tracking error. To improve the robustness of the planner in an uncertain environment, a sampling strategy for path evaluation is designed, and the cost of a certain route is obtained by multiple sampling from the probability density functions of local paths. Monte Carlo simulations are used to verify the superiority and effectiveness of the planner. The promising simulation results show that the proposed GGA outperforms its counterparts by 4.7%–24.6% in terms of total profit, and the sampling-based GGA route planner (S-GGARP) improves the average profit by 5.5% compared to the GGA route planner (GGARP).

Keywords: Autonomous underwater vehicle     Route planning     Genetic algorithm     Orienteering problem     Stochastic path    

Current trends in the development of intelligent unmanned autonomous systems Review

Tao ZHANG,Qing LI,Chang-shui ZHANG,Hua-wei LIANG,Ping LI,Tian-miao WANG,Shuo LI,Yun-long ZHU,Cheng WU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1,   Pages 68-85 doi: 10.1631/FITEE.1601650

Abstract: Intelligent unmanned autonomous systems are some of the most important applications of artificial intelligenceThis paper introduces the trends in the development of intelligent unmanned autonomous systems by summarizing

Keywords: Intelligent unmanned autonomous system     Autonomous vehicle     Artificial intelligence     Robotics     Development    

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 future cities. State of science is reflected from different perspectives such as in-car computing and data management, road side infrastructure, and cloud solutions. Especially the challenges for the application of HD maps as core technology for automated driving are depicted in this article.

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

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    

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 areBased on optimal trajectory command, the UES performs autonomous excavation.

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

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,and orderly opening of autonomous driving maps, appropriately opening up corporate authorization and

Keywords: autonomous driving map     autonomous driving regulation     autonomous driving policy    

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    

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    

Title Author Date Type Operation

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

Journal Article

Toward Trustworthy Decision-Making for Autonomous Vehicles: A Robust Reinforcement Learning Approach

Xiangkun He,Wenhui Huang,Chen Lv,

Journal Article

General Optimal Trajectory Planning: Enabling Autonomous Vehicles with the Principle of Least Action

Heye Huang,Yicong Liu,Jinxin Liu,Qisong Yang,Jianqiang Wang,David Abbink,Arkady Zgonnikov,

Journal Article

Towards the Unified Principles for Level 5 Autonomous Vehicles

Jianqiang Wang, Heye Huang, Keqiang Li, Jun Li

Journal Article

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

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

Journal Article

Development and deep-sea exploration of the Haidou-1

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

Robust global route planning for an autonomous underwater vehicle in a stochastic environment

Jiaxin ZHANG, Meiqin LIU, Senlin ZHANG, Ronghao ZHENG

Journal Article

Current trends in the development of intelligent unmanned autonomous systems

Tao ZHANG,Qing LI,Chang-shui ZHANG,Hua-wei LIANG,Ping LI,Tian-miao WANG,Shuo LI,Yun-long ZHU,Cheng WU

Journal Article

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

Heiko G. Seif, Xiaolong Hu

Journal Article

An autonomous miniature wheeled robot based on visual feedback control

CHEN Haichu

Journal Article

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

Journal Article

Thoughts and Suggestions on Autonomous Driving Map Policy

Liu Jingnan, Dong Yang, Zhan Jiao, Gao Kefu

Journal Article

Current situation and development of wind power in China

BAO Nengsheng, NI Weidou

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