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	Online Competition of Trajectory Planning for Automated Parking: Benchmarks, Achievements, Learned Lessons, and Future Perspectives 期刊论文 OAI收割 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 1, 页码: 16-21 作者: Li, Bai; Fan, Lili; Ouyang, Yakun; Tang, Shiqi; Wang, Xiao \| 收藏 \| 浏览/下载：26/0 \| 提交时间：2023/11/17 Trajectory Trajectory planning Benchmark testing Planning Source coding Location awareness Automobiles Automated parking trajectory planning motion planning autonomous driving autonomous racing
	一种基于单条程序执行路径的错误定位方法期刊论文 OAI收割计算机系统应用, 2014, 期号: 10, 页码: 112-118 周艺; 易秋萍; 刘剑; 淮晓永 \| 收藏 \| 浏览/下载：26/0 \| 提交时间：2014/12/16 错误定位最弱前置条件可满足性理论动态分析自动化测试 fault localization weakest pre-condition computation satisfiability modulo theories dynamic analysis automated testing
	automated test program generation for an industrial optimizing compiler 会议论文 OAI收割 4th International Workshop on Automation of Software Test (AST 2009) held at the 31st International Conference on Software Engineering, Vancouver, CANADA, MAY 18-19, Zhao Chen; Xue Yunzhi; Tao Qiuming; Guo Liang; Wang Zhaohui \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2011/03/20 Chinese Academy of Sciences Institute of Software Matsushita Electric Industrial Co., Ltd automated test program generation industrial optimizing compiler script-driven test program generation process temporal-logic model automatic programming optimising compilers program testing temporal logic
	天体光谱自动处理及其软件系统实现学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2006 作者: 杨金福收藏 \| 浏览/下载：59/0 \| 提交时间：2015/09/02 天体光谱自动分类覆盖算法 SVM PCA NMF 系统设计系统实现软件测试 Celestial object spectrum automated classification covering algorithm support vector machine principal component analysis non-negative matrix factorization system design system implementation software testing
	Intelligent MRTD testing for thermal imaging system using ANN (EI CONFERENCE) 会议论文 OAI收割 ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China Sun J.; Ma D. 收藏 \| 浏览/下载：30/0 \| 提交时间：2013/03/25 The Minimum Resolvable Temperature Difference (MRTD) is the most widely accepted figure for describing the performance of a thermal imaging system. Many models have been proposed to predict it. The MRTD testing is a psychophysical task for which biases are unavoidable. It requires laboratory conditions such as normal air condition and a constant temperature. It also needs expensive measuring equipments and takes a considerable period of time. Especially when measuring imagers of the same type the test is time consuming. So an automated and intelligent measurement method should be discussed. This paper adopts the concept of automated MRTD testing using boundary contour system and fuzzy ARTMAP but uses different methods. It describes an Automated MRTD Testing procedure basing on Back-Propagation Network. Firstly we use frame grabber to capture the 4-bar target image data. Then according to image gray scale we segment the image to get 4-bar place and extract feature vector representing the image characteristic and human detection ability. These feature sets along with known target visibility are used to train the ANN (Artificial Neural Networks). Actually it is a nonlinear classification (of input dimensions) of the image series using ANN. Our task is to justify if image is resolvable or uncertainty. Then the trained ANN will emulate observer performance in determining MRTD. This method can reduce the uncertainties between observers and long time dependent factors by standardization. This paper will introduce the feature extraction algorithm demonstrate the feasibility of the whole process and give the accuracy of MRTD measurement.