Integrated Framework for Test and Evaluation of Autonomous Vehicles

来源 :上海交通大学学报(英文版) | 被引量 : 0次 | 上传用户:dartal_1999
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
Autonomous vehicles must pass effective standard tests to verify their reliability and safety.Accord-ingly,it is very important to establish a complete scientific test and evaluation system for autonomous vehicles.A comprehensive framework incorporating the design of test scenarios,selection of evaluation indexes,and estab-lishment of an evaluation system is proposed in this paper.The aims of the system are to obtain an objective and quantitative score regarding the intelligence of autonomous vehicles,and to form an automated process in the future development.The proposed framework is built on a simulation platform to ensure the feasibility of the design and implementation of the test scenarios.The design principle for the test scenarios is also presented.To reduce subjective influences,the proposed framework selects objective indexes from four aspects:safety,comfort,driving performance,and standard regulations.The order relation analysis method is adopted to formulate the index weights,and fuzzy comprehensive evaluation is used to quantify the scores.Finally,a numerical example is provided to visually demonstrate the evaluation results for the autonomous vehicles scored by the proposed framework.
其他文献
Multi-object tracking is a vital problem as many applications require better tracking approaches.Although learning-based detectors are becoming extremely powerful,there are few tracking methods designed to work with them in real time.We explored an effici
Contemporary autonomous-driving technology relies on good environmental-perception systems and high-precision maps.For unknown environments or scenarios where perception fails,a human-in-the-loop remote-driving system can effectively complement common sol
In real-world scenarios,the uncertainty of measurements cannot be handled efficiently by traditional model predictive control (MPC).A stochastic MPC (SMPC) method for handling the uncertainty of states in autonomous driving lane-keeping scenarios is prese
The magic formula (MF) tire model is a semi-empirical tire model that can precisely simulate tire behavior.The heuristic optimization algorithm is typically used for parameter identification of the MF tire model.To avoid the defect of the traditional heur
This study proposes two speed controllers based on a robust adaptive non-singular terminal sliding mode control approach for the cooperative adaptive cruise control problem in a connected and automated vehicular platoon.The delay-based spacing policy is a
A high-precision map (HPM) is the key infrastructure to realizing the function of automated driving(AD) and ensuring its safety.However,the current laws and regulations on HPMs in China can lead to serious legal compliance problems.Thus,proper measures sh
To solve the problems of difficult control law design,poor portability,and poor stability of traditional multi-agent formation obstacle avoidance algorithms,a multi-agent formation obstacle avoidance method based on deep reinforcement learning (DRL) is pr
Traditional fire safety management in the electric power industry has significant drawbacks,including a lack of data,difficulty of maintenance,lack of supervision,and lack of interaction.This type of management lags behind current advanced safety manageme
The development of intelligent connected vehicles (ICVs) has tremendously inspired the emergence of a new computing paradigm called mobile edge computing (MEC),which meets the demands of delay-sensitive on-vehicle applications.Most existing studies focusi
Path following refers to traveling along the desired path with automatic steering control,which is a crucial technology for automatic driving vehicles.Roads in private areas are highly irregular,resulting in a large curvature variation,which reduces the c