Autonomous Vehicles and Machines最新文献

筛选
英文 中文
Pedestrian Detection at Night Using Deep Neural Networks and Saliency Maps 基于深度神经网络和显著性地图的夜间行人检测
Autonomous Vehicles and Machines Pub Date : 2017-11-01 DOI: 10.2352/j.imagingsci.technol.2017.61.6.060403
Duyoung Heo, Eun-Ju Lee, ByoungChul Ko
{"title":"Pedestrian Detection at Night Using Deep Neural Networks and Saliency Maps","authors":"Duyoung Heo, Eun-Ju Lee, ByoungChul Ko","doi":"10.2352/j.imagingsci.technol.2017.61.6.060403","DOIUrl":"https://doi.org/10.2352/j.imagingsci.technol.2017.61.6.060403","url":null,"abstract":"","PeriodicalId":177462,"journal":{"name":"Autonomous Vehicles and Machines","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116686842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 31
Deep Reinforcement Learning framework for Autonomous Driving 用于自动驾驶的深度强化学习框架
Autonomous Vehicles and Machines Pub Date : 2017-04-08 DOI: 10.2352/ISSN.2470-1173.2017.19.AVM-023
Ahmad El Sallab, Mohammed Abdou, E. Perot, S. Yogamani
{"title":"Deep Reinforcement Learning framework for Autonomous Driving","authors":"Ahmad El Sallab, Mohammed Abdou, E. Perot, S. Yogamani","doi":"10.2352/ISSN.2470-1173.2017.19.AVM-023","DOIUrl":"https://doi.org/10.2352/ISSN.2470-1173.2017.19.AVM-023","url":null,"abstract":"Reinforcement learning is considered to be a strong AI paradigm which can be used to teach machines through interaction with the environment and learning from their mistakes. Despite its perceived utility, it has not yet been successfully applied in automotive applications. Motivated by the successful demonstrations of learning of Atari games and Go by Google DeepMind, we propose a framework for autonomous driving using deep reinforcement learning. This is of particular relevance as it is difficult to pose autonomous driving as a supervised learning problem due to strong interactions with the environment including other vehicles, pedestrians and roadworks. As it is a relatively new area of research for autonomous driving, we provide a short overview of deep reinforcement learning and then describe our proposed framework. It incorporates Recurrent Neural Networks for information integration, enabling the car to handle partially observable scenarios. It also integrates the recent work on attention models to focus on relevant information, thereby reducing the computational complexity for deployment on embedded hardware. The framework was tested in an open source 3D car racing simulator called TORCS. Our simulation results demonstrate learning of autonomous maneuvering in a scenario of complex road curvatures and simple interaction of other vehicles.","PeriodicalId":177462,"journal":{"name":"Autonomous Vehicles and Machines","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122435017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 810
Free-view multi-camera visualization and harmonization for automotive systems 汽车系统的自由视角多摄像头可视化和协调
Autonomous Vehicles and Machines Pub Date : 2017-01-29 DOI: 10.2352/ISSN.2470-1173.2017.19.AVM-012
Vladimir Zlokolica, B. Deegan, Patrick Denny, M. P. Griffin, Barry Dever
{"title":"Free-view multi-camera visualization and harmonization for automotive systems","authors":"Vladimir Zlokolica, B. Deegan, Patrick Denny, M. P. Griffin, Barry Dever","doi":"10.2352/ISSN.2470-1173.2017.19.AVM-012","DOIUrl":"https://doi.org/10.2352/ISSN.2470-1173.2017.19.AVM-012","url":null,"abstract":"","PeriodicalId":177462,"journal":{"name":"Autonomous Vehicles and Machines","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115460488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Perspectively Correct Bird's Views Using Stereo Vision 透视校正鸟的观点使用立体视觉
Autonomous Vehicles and Machines Pub Date : 2017-01-29 DOI: 10.2352/ISSN.2470-1173.2017.19.AVM-014
Christian Fuchs, D. Paulus
{"title":"Perspectively Correct Bird's Views Using Stereo Vision","authors":"Christian Fuchs, D. Paulus","doi":"10.2352/ISSN.2470-1173.2017.19.AVM-014","DOIUrl":"https://doi.org/10.2352/ISSN.2470-1173.2017.19.AVM-014","url":null,"abstract":"","PeriodicalId":177462,"journal":{"name":"Autonomous Vehicles and Machines","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127817753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Milpet - The Self-Driving Wheelchair Milpet——自动驾驶轮椅
Autonomous Vehicles and Machines Pub Date : 2017-01-29 DOI: 10.2352/ISSN.2470-1173.2017.19.AVM-019
S. Echefu, Jacob Lauzon, Suvam Bag, Rasika Kangutkar, A. Bhatt, R. Ptucha
{"title":"Milpet - The Self-Driving Wheelchair","authors":"S. Echefu, Jacob Lauzon, Suvam Bag, Rasika Kangutkar, A. Bhatt, R. Ptucha","doi":"10.2352/ISSN.2470-1173.2017.19.AVM-019","DOIUrl":"https://doi.org/10.2352/ISSN.2470-1173.2017.19.AVM-019","url":null,"abstract":"","PeriodicalId":177462,"journal":{"name":"Autonomous Vehicles and Machines","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134467223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Motion Estimation Using Visual Odometry and Deep Learning Localization 基于视觉里程计和深度学习定位的运动估计
Autonomous Vehicles and Machines Pub Date : 2017-01-29 DOI: 10.2352/ISSN.2470-1173.2017.19.AVM-022
Suvam Bag, V. Venkatachalapathy, R. Ptucha
{"title":"Motion Estimation Using Visual Odometry and Deep Learning Localization","authors":"Suvam Bag, V. Venkatachalapathy, R. Ptucha","doi":"10.2352/ISSN.2470-1173.2017.19.AVM-022","DOIUrl":"https://doi.org/10.2352/ISSN.2470-1173.2017.19.AVM-022","url":null,"abstract":"","PeriodicalId":177462,"journal":{"name":"Autonomous Vehicles and Machines","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116842450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Face Pose Estimation From Rigid Face Landmarks For Driver Monitoring Systems 基于刚性人脸标志的人脸姿态估计用于驾驶员监控系统
Autonomous Vehicles and Machines Pub Date : 2017-01-29 DOI: 10.2352/ISSN.2470-1173.2017.19.AVM-025
B. Shankar, D. Jayachandra, K. K. Hati
{"title":"Face Pose Estimation From Rigid Face Landmarks For Driver Monitoring Systems","authors":"B. Shankar, D. Jayachandra, K. K. Hati","doi":"10.2352/ISSN.2470-1173.2017.19.AVM-025","DOIUrl":"https://doi.org/10.2352/ISSN.2470-1173.2017.19.AVM-025","url":null,"abstract":"","PeriodicalId":177462,"journal":{"name":"Autonomous Vehicles and Machines","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115682364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Automatic Glare Detection via Photometric, Geometric, and Global Positioning Information 自动眩光检测通过光度,几何,和全球定位信息
Autonomous Vehicles and Machines Pub Date : 2017-01-29 DOI: 10.2352/ISSN.2470-1173.2017.19.AVM-024
M. Andalibi, D. Chandler
{"title":"Automatic Glare Detection via Photometric, Geometric, and Global Positioning Information","authors":"M. Andalibi, D. Chandler","doi":"10.2352/ISSN.2470-1173.2017.19.AVM-024","DOIUrl":"https://doi.org/10.2352/ISSN.2470-1173.2017.19.AVM-024","url":null,"abstract":"Glare due to sunlight, moonlight, or other light sources can be a serious impediment during autonomous or manual driving. Automatically detecting the presence, location, and severity of such glare can be of critical importance for an autonomous driving system, which may then give greater priority to other sensors or cues/parts of the scene. We present an algorithm for automatic real-time glare detection that uses a combination of: (1) the intensity, saturation, and local contrast of the input frame; (2) shape detection; and (3) solar azimuth and elevation computed based on the position and heading information from the GPS (used under daylight conditions). These data are used to generate a glare occurrence map that indicates the center location(s) and extent(s) of the glare region(s). Testing on a variety of daytime and nighttime scenes demonstrates that the proposed system is effective at glare detection and is capable of real-time operation.","PeriodicalId":177462,"journal":{"name":"Autonomous Vehicles and Machines","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116199383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Measuring MTF with wedges: pitfalls and best practices 用楔子衡量MTF:陷阱和最佳实践
Autonomous Vehicles and Machines Pub Date : 2017-01-29 DOI: 10.2352/ISSN.2470-1173.2017.19.AVM-451
N. Koren, RobertC Sumner, Henry L. T. Koren
{"title":"Measuring MTF with wedges: pitfalls and best practices","authors":"N. Koren, RobertC Sumner, Henry L. T. Koren","doi":"10.2352/ISSN.2470-1173.2017.19.AVM-451","DOIUrl":"https://doi.org/10.2352/ISSN.2470-1173.2017.19.AVM-451","url":null,"abstract":"","PeriodicalId":177462,"journal":{"name":"Autonomous Vehicles and Machines","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130106744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Efficient Pre-Processor for CNN 高效的CNN预处理器
Autonomous Vehicles and Machines Pub Date : 2017-01-29 DOI: 10.2352/ISSN.2470-1173.2017.19.AVM-020
Mihir Mody, Manu Mathew, Shyam Jagannathan
{"title":"Efficient Pre-Processor for CNN","authors":"Mihir Mody, Manu Mathew, Shyam Jagannathan","doi":"10.2352/ISSN.2470-1173.2017.19.AVM-020","DOIUrl":"https://doi.org/10.2352/ISSN.2470-1173.2017.19.AVM-020","url":null,"abstract":"","PeriodicalId":177462,"journal":{"name":"Autonomous Vehicles and Machines","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121395372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信