Pub Date : 2005-06-06DOI: 10.1109/IVS.2005.1505166
Hong Cheng, N. Zheng, Junjie Qin
Vehicle warning and control systems are the key component of ITS. Pedestrian detection is an important research content of vehicle active safety. The central idea behind such pedestrian safety systems is to protect the pedestrian from injuries. In this paper, we address the problem of pedestrian represent and detection where the motion cue is not used. Inspired by the work proposed by Zehang Sun [2004], we proposed a pedestrian feature representation approach based on sparse Gabor filters (SGF) learning from examples. In the phase of pedestrian detection, we used support vector machine to detect the pedestrian. Promising results demonstrate the potential of the proposed framework.
{"title":"Pedestrian detection using sparse Gabor filter and support vector machine","authors":"Hong Cheng, N. Zheng, Junjie Qin","doi":"10.1109/IVS.2005.1505166","DOIUrl":"https://doi.org/10.1109/IVS.2005.1505166","url":null,"abstract":"Vehicle warning and control systems are the key component of ITS. Pedestrian detection is an important research content of vehicle active safety. The central idea behind such pedestrian safety systems is to protect the pedestrian from injuries. In this paper, we address the problem of pedestrian represent and detection where the motion cue is not used. Inspired by the work proposed by Zehang Sun [2004], we proposed a pedestrian feature representation approach based on sparse Gabor filters (SGF) learning from examples. In the phase of pedestrian detection, we used support vector machine to detect the pedestrian. Promising results demonstrate the potential of the proposed framework.","PeriodicalId":386189,"journal":{"name":"IEEE Proceedings. Intelligent Vehicles Symposium, 2005.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130902675","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 : 2005-06-06DOI: 10.1109/IVS.2005.1505119
Bing-Wen Chuang, J. Tarng, J. Lin, C. Wang
This paper presents the methodology of implementations and performance measurements of our mobile ad-hoc network (MANET) platforms. The work is prompted by the lack of published results concerning the issues associated with the implementation of MANET facilities on actual wireless networks, as opposed to results of simulation experiments. Our MANET is developed based on the settled IEEE 802.11b technology operating in the ad-hoc mode. The opportunity driven multiple access (ODMA), which is developed by IWICS Inc., is implemented on the platform and its performance has been examined through field tests along city streets. Based on the measurement results, ODMA-based MANET facilities are able to provide satisfactory wireless communication services in vehicular environments. The minimum data throughput of 20 kBytes/sec could be guaranteed in our testbed.
{"title":"System development and performance investigation of mobile ad-hoc networks in vehicular environments","authors":"Bing-Wen Chuang, J. Tarng, J. Lin, C. Wang","doi":"10.1109/IVS.2005.1505119","DOIUrl":"https://doi.org/10.1109/IVS.2005.1505119","url":null,"abstract":"This paper presents the methodology of implementations and performance measurements of our mobile ad-hoc network (MANET) platforms. The work is prompted by the lack of published results concerning the issues associated with the implementation of MANET facilities on actual wireless networks, as opposed to results of simulation experiments. Our MANET is developed based on the settled IEEE 802.11b technology operating in the ad-hoc mode. The opportunity driven multiple access (ODMA), which is developed by IWICS Inc., is implemented on the platform and its performance has been examined through field tests along city streets. Based on the measurement results, ODMA-based MANET facilities are able to provide satisfactory wireless communication services in vehicular environments. The minimum data throughput of 20 kBytes/sec could be guaranteed in our testbed.","PeriodicalId":386189,"journal":{"name":"IEEE Proceedings. Intelligent Vehicles Symposium, 2005.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115184295","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 : 2005-06-06DOI: 10.1109/IVS.2005.1505148
K. Weiß, H. Philipps, T. To, A. Kirchner
Environmental perception through sensor fusion for automotive applications is an intensive research area. Since the advent of the first driver assistance systems researchers have worked on multi sensor systems that perceived the whole surrounding traffic scene. At Volkswagen research diverse sensor and fusion configurations have been under examination over the last few years. Currently a Highway Assistant is being under development that focuses on well structured environments and ultimately aims to automate certain driving tasks. This paper describes the perception part from sensors and sensor fusion up to situation and risk assessment.
{"title":"Environmental perception and situation assessment for an advanced highway assistant","authors":"K. Weiß, H. Philipps, T. To, A. Kirchner","doi":"10.1109/IVS.2005.1505148","DOIUrl":"https://doi.org/10.1109/IVS.2005.1505148","url":null,"abstract":"Environmental perception through sensor fusion for automotive applications is an intensive research area. Since the advent of the first driver assistance systems researchers have worked on multi sensor systems that perceived the whole surrounding traffic scene. At Volkswagen research diverse sensor and fusion configurations have been under examination over the last few years. Currently a Highway Assistant is being under development that focuses on well structured environments and ultimately aims to automate certain driving tasks. This paper describes the perception part from sensors and sensor fusion up to situation and risk assessment.","PeriodicalId":386189,"journal":{"name":"IEEE Proceedings. Intelligent Vehicles Symposium, 2005.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115193098","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 : 2005-06-06DOI: 10.1109/IVS.2005.1505130
Chia-Chang Tong, Wu-Shun Jwo, Kun-Li Wen
This paper proposes a design and implementation of a master-slave mode, hybrid electric motorcycle (H.E.M.). The proposed hybrid electric motorcycle is a revised vehicle from a 50 C.C. motorcycle and designed to match up with a 100 C.C. motorcycle. In order to expedite the developing phase and lower down the cost, a master-slave tracking control method is utilized. A DC servo-motor is deployed to track the speed of the rear-wheel of the motorcycle and to provide more torque through power composite into the rear wheel so that the performance of hybrid electric motorcycle can be promoted. The advance of performance as well as the energy saving can both be expected. In road trip experiment, the H.E.M. prototype achieves an average gasoline mileage of 46 km/liter compared to the original 34 km/liter. The overall efficiency is about 35% lift. Experimental results confirm the feasibility and prosperities of the proposed hybrid electric motorcycle (H.E.M.).
{"title":"Hybrid electric motorcycle: a master-slave mode design","authors":"Chia-Chang Tong, Wu-Shun Jwo, Kun-Li Wen","doi":"10.1109/IVS.2005.1505130","DOIUrl":"https://doi.org/10.1109/IVS.2005.1505130","url":null,"abstract":"This paper proposes a design and implementation of a master-slave mode, hybrid electric motorcycle (H.E.M.). The proposed hybrid electric motorcycle is a revised vehicle from a 50 C.C. motorcycle and designed to match up with a 100 C.C. motorcycle. In order to expedite the developing phase and lower down the cost, a master-slave tracking control method is utilized. A DC servo-motor is deployed to track the speed of the rear-wheel of the motorcycle and to provide more torque through power composite into the rear wheel so that the performance of hybrid electric motorcycle can be promoted. The advance of performance as well as the energy saving can both be expected. In road trip experiment, the H.E.M. prototype achieves an average gasoline mileage of 46 km/liter compared to the original 34 km/liter. The overall efficiency is about 35% lift. Experimental results confirm the feasibility and prosperities of the proposed hybrid electric motorcycle (H.E.M.).","PeriodicalId":386189,"journal":{"name":"IEEE Proceedings. Intelligent Vehicles Symposium, 2005.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122065262","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 : 2005-06-06DOI: 10.1109/IVS.2005.1505191
K. Ikeuchi, M. Kuwahara, Y. Suda, Y. Tanaka, E. Chung, T. Suzuki, M. Kagesawa, S. Tanaka, I. Nishikawa, Y. Takahashi, R. Horiguchi, T. Shiraishi, H. Hanabusa, H. Kawasaki, H. Ishikawa, K. Maruoka, K. Honda, M. Furukawa, M. Kano, H. Ueno, Y. Ohba, Y. Mashiyama, T. Oda, K. Kenmotsu, T. Yamamoto, M.O. Masaaki, M. Sakai, M. Tsuji
In this paper, we show the outline of our research on interactive traffic environment, under which we are developing mixed reality traffic experiment space. In order to develop sophisticated ITS applications, it is very important to analyze human factor, but there is few method to obtain human factor, thus, we have decided to create interactive traffic environment under which we can obtain human factors. As the first stage of our research, we have developed mixed reality traffic experiment space. It consists of real observation laboratory part and virtual experiment laboratory part. In the former part, we gather various real raw data to retrieve real environment model. In the later part, we present users more realistic driving environment based on the model. Based on this experiment space, we are going to proceed to the next stages, in which we design and evaluate sustainable ITS applications. For this purpose we have started sustainable ITS project at the university of Tokyo, collaborated among industry, government, and university.
{"title":"Sustainable ITS project overview: mixed reality traffic experiment space under interactive traffic environment for ITS","authors":"K. Ikeuchi, M. Kuwahara, Y. Suda, Y. Tanaka, E. Chung, T. Suzuki, M. Kagesawa, S. Tanaka, I. Nishikawa, Y. Takahashi, R. Horiguchi, T. Shiraishi, H. Hanabusa, H. Kawasaki, H. Ishikawa, K. Maruoka, K. Honda, M. Furukawa, M. Kano, H. Ueno, Y. Ohba, Y. Mashiyama, T. Oda, K. Kenmotsu, T. Yamamoto, M.O. Masaaki, M. Sakai, M. Tsuji","doi":"10.1109/IVS.2005.1505191","DOIUrl":"https://doi.org/10.1109/IVS.2005.1505191","url":null,"abstract":"In this paper, we show the outline of our research on interactive traffic environment, under which we are developing mixed reality traffic experiment space. In order to develop sophisticated ITS applications, it is very important to analyze human factor, but there is few method to obtain human factor, thus, we have decided to create interactive traffic environment under which we can obtain human factors. As the first stage of our research, we have developed mixed reality traffic experiment space. It consists of real observation laboratory part and virtual experiment laboratory part. In the former part, we gather various real raw data to retrieve real environment model. In the later part, we present users more realistic driving environment based on the model. Based on this experiment space, we are going to proceed to the next stages, in which we design and evaluate sustainable ITS applications. For this purpose we have started sustainable ITS project at the university of Tokyo, collaborated among industry, government, and university.","PeriodicalId":386189,"journal":{"name":"IEEE Proceedings. Intelligent Vehicles Symposium, 2005.","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125947629","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 : 2005-06-06DOI: 10.1109/IVS.2005.1505164
M. Bertozzi, A. Broggi, P. Medici, P. Porta, R. Vitulli
The work described in this paper has been developed in the framework of the integrated project APALACI-PReVENT, a research activity funded by the European Commission to contribute to road safety by developing and demonstrating preventive safety technologies and applications. The goal of the system presented in this work is the development of a vision system for detecting potential obstacles in front of a slowly moving or still vehicle. When the vehicle is still, a background subtraction approach is used assuming that the background keeps stationary for a limited amount of time; thus, a reference background is computed and used to detect changes into the scene. A different approach is used when the vehicle is moving. The system, by means of inertial sensors, can detect ego-motion and correct background information accordingly. A temporal stereo match technique, able to detect obstacles in moving situations, completes the system. According to experimental results, the proposed algorithm can be useful in different automotive applications, requiring real-time segmentation without assumptions on background motion.
{"title":"Obstacle detection for start-inhibit and low speed driving","authors":"M. Bertozzi, A. Broggi, P. Medici, P. Porta, R. Vitulli","doi":"10.1109/IVS.2005.1505164","DOIUrl":"https://doi.org/10.1109/IVS.2005.1505164","url":null,"abstract":"The work described in this paper has been developed in the framework of the integrated project APALACI-PReVENT, a research activity funded by the European Commission to contribute to road safety by developing and demonstrating preventive safety technologies and applications. The goal of the system presented in this work is the development of a vision system for detecting potential obstacles in front of a slowly moving or still vehicle. When the vehicle is still, a background subtraction approach is used assuming that the background keeps stationary for a limited amount of time; thus, a reference background is computed and used to detect changes into the scene. A different approach is used when the vehicle is moving. The system, by means of inertial sensors, can detect ego-motion and correct background information accordingly. A temporal stereo match technique, able to detect obstacles in moving situations, completes the system. According to experimental results, the proposed algorithm can be useful in different automotive applications, requiring real-time segmentation without assumptions on background motion.","PeriodicalId":386189,"journal":{"name":"IEEE Proceedings. Intelligent Vehicles Symposium, 2005.","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124742160","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 : 2005-06-06DOI: 10.1109/IVS.2005.1505078
M. Rydstrom, E. Strom, A. Svensson, A. Urruela
The Cramer-Rao lower bound places a bound, in a mean squared sense, on the performance of all unbiased estimators. In this paper, as a base for discussion, we provide a straight forward derivation of such bounds for estimators of mobile node positions, operating on observations of distances between entities in an asynchronous network. While Cramer-Rao bound analysis is very common in the positioning community, it is mostly used for analytical evaluation of various estimators, for comparison purposes and for sensor information fusion. In this work, we present some more commercial and practical applications of these tools for performance evaluation. We first discuss the deployment of beacons throughout a transportation infrastructure as a first step towards providing global automotive, possibly GPS augmented, positioning services with applications such as collision warning and collision avoidance. We then move on to describe how the cost associated with the deployment of such beacons can be drastically reduced through relying on inter-node range measurements and a dynamic beaconing scheme we call the lighthouse scheme. We also present a method for complexity reduction in the estimation of relative node coordinates and evaluation of Cramer-Rao performance measures.
{"title":"Practical automotive applications of Cramer-Rao bound analysis","authors":"M. Rydstrom, E. Strom, A. Svensson, A. Urruela","doi":"10.1109/IVS.2005.1505078","DOIUrl":"https://doi.org/10.1109/IVS.2005.1505078","url":null,"abstract":"The Cramer-Rao lower bound places a bound, in a mean squared sense, on the performance of all unbiased estimators. In this paper, as a base for discussion, we provide a straight forward derivation of such bounds for estimators of mobile node positions, operating on observations of distances between entities in an asynchronous network. While Cramer-Rao bound analysis is very common in the positioning community, it is mostly used for analytical evaluation of various estimators, for comparison purposes and for sensor information fusion. In this work, we present some more commercial and practical applications of these tools for performance evaluation. We first discuss the deployment of beacons throughout a transportation infrastructure as a first step towards providing global automotive, possibly GPS augmented, positioning services with applications such as collision warning and collision avoidance. We then move on to describe how the cost associated with the deployment of such beacons can be drastically reduced through relying on inter-node range measurements and a dynamic beaconing scheme we call the lighthouse scheme. We also present a method for complexity reduction in the estimation of relative node coordinates and evaluation of Cramer-Rao performance measures.","PeriodicalId":386189,"journal":{"name":"IEEE Proceedings. Intelligent Vehicles Symposium, 2005.","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129514317","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 : 2005-06-06DOI: 10.1109/IVS.2005.1505194
Shintaro Ono, †. KoichiOgawara, M. Kagesawa, Hiroshi Kawasaki, M. Onuki, Jun-ichi Abeki, ¶. ToruYano, ¶. MasamiNerio, K. Honda, K. Ikeuchi, Ltd. Chodai Co.
In this paper, we propose an efficient and effective image generation system for "mixed reality traffic experiment space", an enhanced driving/traffic simulation system, which we have been developing for sustainable ITS project at the University of Tokyo. Conventional driving simulators represent their view by a set of polygon-based objects, which leads to less photo-reality and huge human costs for dataset construction. We introduce our image/geometry-based hybrid method to realize more photo-realistic view with less human cost at the same time. Images for datasets are captured from real world by multiple video cameras mounted on a data acquisition vehicle. The view for the system is created by synthesizing the image dataset. We mainly describe details on data acquisition and view rendering.
{"title":"A photo-realistic driving simulation system for mixed-reality traffic experiment space","authors":"Shintaro Ono, †. KoichiOgawara, M. Kagesawa, Hiroshi Kawasaki, M. Onuki, Jun-ichi Abeki, ¶. ToruYano, ¶. MasamiNerio, K. Honda, K. Ikeuchi, Ltd. Chodai Co.","doi":"10.1109/IVS.2005.1505194","DOIUrl":"https://doi.org/10.1109/IVS.2005.1505194","url":null,"abstract":"In this paper, we propose an efficient and effective image generation system for \"mixed reality traffic experiment space\", an enhanced driving/traffic simulation system, which we have been developing for sustainable ITS project at the University of Tokyo. Conventional driving simulators represent their view by a set of polygon-based objects, which leads to less photo-reality and huge human costs for dataset construction. We introduce our image/geometry-based hybrid method to realize more photo-realistic view with less human cost at the same time. Images for datasets are captured from real world by multiple video cameras mounted on a data acquisition vehicle. The view for the system is created by synthesizing the image dataset. We mainly describe details on data acquisition and view rendering.","PeriodicalId":386189,"journal":{"name":"IEEE Proceedings. Intelligent Vehicles Symposium, 2005.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128471763","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 : 2005-06-06DOI: 10.1109/IVS.2005.1505089
T. Liu, N. Zheng, L. Zhao, H. Cheng
This paper describes a symmetric features selection strategy based on statistical learning method for detecting vehicles with a single moving camera for autonomous driving. Symmetry is a good class of feature for vehicle detection, but the areas with high symmetry and threshold for segmentation is hard to be decided. Usually, the additional supposition is added artificially, and this will decrease the robustness of algorithms. In this paper, we focus on the problem of symmetric features selection using learning method for autonomous driving environment. Global symmetry and local symmetry are defined and used to construct a cascaded structure with a one-class classifier followed by a two-class classifier. Especially for local symmetric features, different symmetric areas in the rear view image of vehicles are searched through Adaboost based learning, and most useful symmetric features are extracted. The threshold for classification is also found through learning. The effective features selection strategy shows that the integration of global symmetry and local symmetry helps to improve the robustness of algorithms. Experimental results indicate the robustness and real-time performance of the algorithm.
{"title":"Learning based symmetric features selection for vehicle detection","authors":"T. Liu, N. Zheng, L. Zhao, H. Cheng","doi":"10.1109/IVS.2005.1505089","DOIUrl":"https://doi.org/10.1109/IVS.2005.1505089","url":null,"abstract":"This paper describes a symmetric features selection strategy based on statistical learning method for detecting vehicles with a single moving camera for autonomous driving. Symmetry is a good class of feature for vehicle detection, but the areas with high symmetry and threshold for segmentation is hard to be decided. Usually, the additional supposition is added artificially, and this will decrease the robustness of algorithms. In this paper, we focus on the problem of symmetric features selection using learning method for autonomous driving environment. Global symmetry and local symmetry are defined and used to construct a cascaded structure with a one-class classifier followed by a two-class classifier. Especially for local symmetric features, different symmetric areas in the rear view image of vehicles are searched through Adaboost based learning, and most useful symmetric features are extracted. The threshold for classification is also found through learning. The effective features selection strategy shows that the integration of global symmetry and local symmetry helps to improve the robustness of algorithms. Experimental results indicate the robustness and real-time performance of the algorithm.","PeriodicalId":386189,"journal":{"name":"IEEE Proceedings. Intelligent Vehicles Symposium, 2005.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129568405","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 : 2005-06-06DOI: 10.1109/IVS.2005.1505123
Mirko Miihlisch, M. Oberlander, O. Lohlein, D. Gavrila, Werner Ritter
In this paper we present a recognition scheme, which is both reliable and fast. The scheme comprises the simultaneous harmonized use of three powerful detection algorithms, the hyper permutation network (HPN), a hierarchical contour matching (HCM) algorithm and a cascaded classifier approach. Each algorithm is evaluated separately and afterwards, based on the evaluation results, the fusion of the detection results is performed by a particle filter approach.
{"title":"A multiple detector approach to low-resolution FIR pedestrian recognition","authors":"Mirko Miihlisch, M. Oberlander, O. Lohlein, D. Gavrila, Werner Ritter","doi":"10.1109/IVS.2005.1505123","DOIUrl":"https://doi.org/10.1109/IVS.2005.1505123","url":null,"abstract":"In this paper we present a recognition scheme, which is both reliable and fast. The scheme comprises the simultaneous harmonized use of three powerful detection algorithms, the hyper permutation network (HPN), a hierarchical contour matching (HCM) algorithm and a cascaded classifier approach. Each algorithm is evaluated separately and afterwards, based on the evaluation results, the fusion of the detection results is performed by a particle filter approach.","PeriodicalId":386189,"journal":{"name":"IEEE Proceedings. Intelligent Vehicles Symposium, 2005.","volume":"51 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127312708","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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