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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.liability and insurance issues, as well as autonomous driving map related test specifications and testdriving vehicles in China: formulating an autonomous driving map management mode, allowing pilot applicationoptimizing the review process, as well as establishing a national-level autonomous driving map platform

Keywords： autonomous driving map     autonomous driving regulation     autonomous driving policy    

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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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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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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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A Flexible Multi-Layer Map Model Designed for Lane-Level Route Planning in Autonomous Vehicles Article

Kun Jiang, Diange Yang, Chaoran Liu, Tao Zhang, Zhongyang Xiao

Engineering 2019, Volume 5, Issue 2,   Pages 305-318 doi: 10.1016/j.eng.2018.11.032

Abstract:

An increasing number of drivers are relying on digital map navigation systems in vehicles or mobilephones to select optimal driving routes in order to save time and improve safety.navigation systems to more applications, two fundamental problems must be resolved: the lane-level mapproposes a novel seven-layer map structure, called as Tsinghua map model, which is able to support autonomousdriving in a flexible and efficient way.

Keywords： Lane-level     Route planning     Tsinghua map model     Travel cost model    

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Enhanced Autonomous Exploration and Mapping of an Unknown Environment with the Fusion of Dual RGB-D Sensors Article

Ningbo Yu, Shirong Wang

Engineering 2019, Volume 5, Issue 1,   Pages 164-172 doi: 10.1016/j.eng.2018.11.014

Abstract:

The autonomous exploration and mapping of an unknown environment is useful in a wide range of applicationsIn this paper, we present a systematic approach with dual RGB-D sensors to achieve the autonomous explorationWith the synchronized and processed RGB-D data, location points were generated and a 3D point cloud mapand 2D grid map were incrementally built.Partial map simulation and global frontier search methods were combined for autonomous exploration, and

Keywords： Autonomous exploration     Red/green/blue-depth     Sensor fusion     Point cloud     Partial map simulation     Global    

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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    

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

Frontiers in Energy 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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Pre-training with asynchronous supervised learning for reinforcement learning based autonomous driving Research Articles

Yunpeng Wang, Kunxian Zheng, Daxin Tian, Xuting Duan, Jianshan Zhou,ypwang@buaa.edu.cn,zhengkunxian@buaa.edu.cn,dtian@buaa.edu.cn,duanxuting@buaa.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 5,   Pages 615-766 doi: 10.1631/FITEE.1900637

Abstract: Rule-based autonomous driving systems may suffer from increased complexity with large-scale inter-coupled(RL) has been applied in designing autonomous driving systems because of its outstanding performancedriving system.We propose an asynchronous (ASL) method for the RL-based end-to-end autonomous driving model to addressdriving model in the RL training stage.

Keywords： 自主驾驶；自动驾驶车辆；强化学习；监督学习    

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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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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    

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Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units

Frontiers of Chemical Science and Engineering doi: 10.1007/s11705-022-2269-5

Abstract: ., multi-input self-organizing-map ResNet (MISR), for modeling refining units comprised of two reactorsThe model is comprised of self-organizing-map and the neural network parts.The self-organizing-map part maps the input data into multiple two-dimensional planes and sends thempredicts more accurately the product yields and properties than the previously introduced self-organizing-map

Keywords： hydrocracking     convolutional neural networks     self-organizing map     deep learning     data-driven optimization    

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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 autonomousdifferential evolution optimization algorithm is proposed to realize optimal smooth path following based on drivingconstraints, 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    

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Title Author Date Type Operation

Thoughts and Suggestions on Autonomous Driving Map Policy

Liu Jingnan, Dong Yang, Zhan Jiao, Gao Kefu

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

Towards the Unified Principles for Level 5 Autonomous Vehicles

Jianqiang Wang, Heye Huang, Keqiang Li, Jun Li

Journal Article

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

Jingda Wu, Zhiyu Huang, Zhongxu Hu, Chen Lv

Journal Article

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

Heiko G. Seif, Xiaolong Hu

Journal Article

A Flexible Multi-Layer Map Model Designed for Lane-Level Route Planning in Autonomous Vehicles

Kun Jiang, Diange Yang, Chaoran Liu, Tao Zhang, Zhongyang Xiao

Journal Article

Enhanced Autonomous Exploration and Mapping of an Unknown Environment with the Fusion of Dual RGB-D Sensors

Ningbo Yu, Shirong Wang

Journal Article

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

Journal Article

Mechanism of self-excited torsional vibration of locomotive driving system

Jianxin LIU, Huaiyun ZHAO, Wanming ZHAI

Journal Article

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

Journal Article

Pre-training with asynchronous supervised learning for reinforcement learning based autonomous driving

Yunpeng Wang, Kunxian Zheng, Daxin Tian, Xuting Duan, Jianshan Zhou,ypwang@buaa.edu.cn,zhengkunxian@buaa.edu.cn,dtian@buaa.edu.cn,duanxuting@buaa.edu.cn

Journal Article

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

Deyi Li,Hongbo Gao

Journal Article

An autonomous miniature wheeled robot based on visual feedback control

CHEN Haichu

Journal Article

Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units

Journal Article

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

Journal Article