Pub Date : 2019-01-13DOI: 10.2352/issn.2470-1173.2019.15.avm-055
Dongwoo Kang, J. Heo, Byongmin Kang, D. Nam
{"title":"Pupil detection and tracking for AR 3D under various circumstances","authors":"Dongwoo Kang, J. Heo, Byongmin Kang, D. Nam","doi":"10.2352/issn.2470-1173.2019.15.avm-055","DOIUrl":"https://doi.org/10.2352/issn.2470-1173.2019.15.avm-055","url":null,"abstract":"","PeriodicalId":177462,"journal":{"name":"Autonomous Vehicles and Machines","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124444436","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}
Pub Date : 2019-01-13DOI: 10.2352/issn.2470-1173.2019.15.avm-056
Ying-Wei Chuang, Chien-Hao Kuo, Shih-Wei Sun, P. Chang
To improve the driving safety triggered by driver’s behavior recognition in an in-car environment, we propose to use depth cameras mounted in a car to generate behavior models generated by a deep learning algorithm for a driver’s behavior classification. The contribution of this paper is trifold: 1) The proposed multi-view driver behavior recognition system can handle the occlusion problem happened in one of the cameras; 2) Using the recurrent neural network can effectively recognize the continuous time behavior; 3) the average recognition accuracy of proposed systems can achieve 83% and 88%, respectively. Introduction A driver’s behavior plays an important role to affect the traffic safety. For example, answering a phone, watching a video, or chatting with the people with a head turning behavior often lead the following car accidents. To increase a driving safety, a driver’s behavior is analyzed, understood, and recognized [1, 2] to assist a driver to behave in a proper manner in a car. For example, Jain et al. [2] proposed to utilize cameras to understand a driver’s behavior in an in-vehicle environment. However, it is challenging to use an in-car camera for behavior recognition due to the light changing, occlusion, and the clutter issues. Furthermore, in a limited in-car space, as shown in Fig. 1 (a), mounting positions of a camera to capture a driver’s behavior is also very limited. Based on a limited mounting position, the captured content of a frame leads severe self-occlusion issue, as shown in Fig. 1 (b). Figure 1. In-vehicle environment: (a) In-vehicle environment is a narrow space, (b) Driver in a sitting position and whole body was occluded by other
{"title":"Driver behavior recognition using recurrent neural network in multiple depth cameras environment","authors":"Ying-Wei Chuang, Chien-Hao Kuo, Shih-Wei Sun, P. Chang","doi":"10.2352/issn.2470-1173.2019.15.avm-056","DOIUrl":"https://doi.org/10.2352/issn.2470-1173.2019.15.avm-056","url":null,"abstract":"To improve the driving safety triggered by driver’s behavior recognition in an in-car environment, we propose to use depth cameras mounted in a car to generate behavior models generated by a deep learning algorithm for a driver’s behavior classification. The contribution of this paper is trifold: 1) The proposed multi-view driver behavior recognition system can handle the occlusion problem happened in one of the cameras; 2) Using the recurrent neural network can effectively recognize the continuous time behavior; 3) the average recognition accuracy of proposed systems can achieve 83% and 88%, respectively. Introduction A driver’s behavior plays an important role to affect the traffic safety. For example, answering a phone, watching a video, or chatting with the people with a head turning behavior often lead the following car accidents. To increase a driving safety, a driver’s behavior is analyzed, understood, and recognized [1, 2] to assist a driver to behave in a proper manner in a car. For example, Jain et al. [2] proposed to utilize cameras to understand a driver’s behavior in an in-vehicle environment. However, it is challenging to use an in-car camera for behavior recognition due to the light changing, occlusion, and the clutter issues. Furthermore, in a limited in-car space, as shown in Fig. 1 (a), mounting positions of a camera to capture a driver’s behavior is also very limited. Based on a limited mounting position, the captured content of a frame leads severe self-occlusion issue, as shown in Fig. 1 (b). Figure 1. In-vehicle environment: (a) In-vehicle environment is a narrow space, (b) Driver in a sitting position and whole body was occluded by other","PeriodicalId":177462,"journal":{"name":"Autonomous Vehicles and Machines","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131319143","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}
Pub Date : 2019-01-13DOI: 10.2352/ISSN.2470-1173.2019.15.AVM-048
Michal Uřičář, P. Krízek, David Hurych, Ibrahim Sobh, S. Yogamani, Patrick Denny
Generative Adversarial Networks (GAN) have gained a lot of popularity from their introduction in 2014 till present. Research on GAN is rapidly growing and there are many variants of the original GAN focusing on various aspects of deep learning. GAN are perceived as the most impactful direction of machine learning in the last decade. This paper focuses on the application of GAN in autonomous driving including topics such as advanced data augmentation, loss function learning, semi-supervised learning, etc. We formalize and review key applications of adversarial techniques and discuss challenges and open problems to be addressed.
{"title":"Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving","authors":"Michal Uřičář, P. Krízek, David Hurych, Ibrahim Sobh, S. Yogamani, Patrick Denny","doi":"10.2352/ISSN.2470-1173.2019.15.AVM-048","DOIUrl":"https://doi.org/10.2352/ISSN.2470-1173.2019.15.AVM-048","url":null,"abstract":"Generative Adversarial Networks (GAN) have gained a lot of popularity from their introduction in 2014 till present. Research on GAN is rapidly growing and there are many variants of the original GAN focusing on various aspects of deep learning. GAN are perceived as the most impactful direction of machine learning in the last decade. This paper focuses on the application of GAN in autonomous driving including topics such as advanced data augmentation, loss function learning, semi-supervised learning, etc. We formalize and review key applications of adversarial techniques and discuss challenges and open problems to be addressed.","PeriodicalId":177462,"journal":{"name":"Autonomous Vehicles and Machines","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133645470","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}
Pub Date : 2018-01-28DOI: 10.2352/ISSN.2470-1173.2018.17.AVM-346
Christian Winkens, D. Paulus
{"title":"Context Aware Hyperspectral Scene Analysis","authors":"Christian Winkens, D. Paulus","doi":"10.2352/ISSN.2470-1173.2018.17.AVM-346","DOIUrl":"https://doi.org/10.2352/ISSN.2470-1173.2018.17.AVM-346","url":null,"abstract":"","PeriodicalId":177462,"journal":{"name":"Autonomous Vehicles and Machines","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121057524","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}
Pub Date : 2018-01-28DOI: 10.2352/ISSN.2470-1173.2018.17.AVM-105
R. Jenkin, P. Kane
{"title":"Fundamental Imaging System Analysis for Autonomous Vehicles","authors":"R. Jenkin, P. Kane","doi":"10.2352/ISSN.2470-1173.2018.17.AVM-105","DOIUrl":"https://doi.org/10.2352/ISSN.2470-1173.2018.17.AVM-105","url":null,"abstract":"","PeriodicalId":177462,"journal":{"name":"Autonomous Vehicles and Machines","volume":"756 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123277205","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}
Pub Date : 2018-01-28DOI: 10.2352/ISSN.2470-1173.2018.17.AVM-147
Vladimir Zlokolica, M. P. Griffin, Aidan Casey, D. Solera, B. Deegan, Patrick Denny, Barry Dever
{"title":"Visual quality evaluation of the multi-camera visualization in automotive surround view systems","authors":"Vladimir Zlokolica, M. P. Griffin, Aidan Casey, D. Solera, B. Deegan, Patrick Denny, Barry Dever","doi":"10.2352/ISSN.2470-1173.2018.17.AVM-147","DOIUrl":"https://doi.org/10.2352/ISSN.2470-1173.2018.17.AVM-147","url":null,"abstract":"","PeriodicalId":177462,"journal":{"name":"Autonomous Vehicles and Machines","volume":"82 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131514836","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}
Pub Date : 2018-01-28DOI: 10.2352/ISSN.2470-1173.2018.17.AVM-148
M. Geese, U. Seger, A. Paolillo
{"title":"Detection Probabilities: Performance Prediction for Sensors of Autonomous Vehicles","authors":"M. Geese, U. Seger, A. Paolillo","doi":"10.2352/ISSN.2470-1173.2018.17.AVM-148","DOIUrl":"https://doi.org/10.2352/ISSN.2470-1173.2018.17.AVM-148","url":null,"abstract":"","PeriodicalId":177462,"journal":{"name":"Autonomous Vehicles and Machines","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121205387","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}
Pub Date : 2018-01-28DOI: 10.2352/issn.2470-1173.2018.17.avm-282
Christian Fuchs, D. Paulus
{"title":"Dense Surround View Computation with Perspective Correctness","authors":"Christian Fuchs, D. Paulus","doi":"10.2352/issn.2470-1173.2018.17.avm-282","DOIUrl":"https://doi.org/10.2352/issn.2470-1173.2018.17.avm-282","url":null,"abstract":"","PeriodicalId":177462,"journal":{"name":"Autonomous Vehicles and Machines","volume":"244 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127605607","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}
Pub Date : 2018-01-28DOI: 10.2352/ISSN.2470-1173.2018.17.AVM-258
Ziguo Zhong, Stanley Liu, Manu Mathew, Aish Dubey
{"title":"Camera Radar Fusion for Increased Reliability in ADAS Applications","authors":"Ziguo Zhong, Stanley Liu, Manu Mathew, Aish Dubey","doi":"10.2352/ISSN.2470-1173.2018.17.AVM-258","DOIUrl":"https://doi.org/10.2352/ISSN.2470-1173.2018.17.AVM-258","url":null,"abstract":"","PeriodicalId":177462,"journal":{"name":"Autonomous Vehicles and Machines","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123892197","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}
Pub Date : 2018-01-28DOI: 10.2352/ISSN.2470-1173.2018.17.AVM-348
C. S. Vijay, R. Bhat, V. Ragavan
{"title":"Raindrop detection considering extremal regions and salient features","authors":"C. S. Vijay, R. Bhat, V. Ragavan","doi":"10.2352/ISSN.2470-1173.2018.17.AVM-348","DOIUrl":"https://doi.org/10.2352/ISSN.2470-1173.2018.17.AVM-348","url":null,"abstract":"","PeriodicalId":177462,"journal":{"name":"Autonomous Vehicles and Machines","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126856060","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}
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