The Experts below are selected from a list of 948 Experts worldwide ranked by ideXlab platform
Yoshitaka Shibata - One of the best experts on this subject based on the ideXlab platform.
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Road-to-Vehicle Communication Using CoMoSE for Road Surface Freezing Information System
2015 Ninth International Conference on Complex Intelligent and Software Intensive Systems, 2015Co-Authors: Go Hirakawa, Phyu Phyu Kywe, Yoshitaka ShibataAbstract:Recently, the number of Automotive Sensors has increased with the spread of electronic control systems such as driver assistance functions, navigation systems and hybrid systems. Time-Spacial Automotive Sensor data from various environmental and internal information of a vehicle is used for many vehicle control functions and services for passengers. To handle such time-spacial Sensor data, we propose and develop an Automotive Sensor information platform named CoMoSE, which provides the utilized methods of Automotive Sensor information and serves the various services. In this paper, we consider a road surface freezing information providing system and define requests for communication by the system, and implement the road-to-vehicle and vehicle-to-vehicle communication using CoMoSE platform.
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CISIS - Road-to-Vehicle Communication Using CoMoSE for Road Surface Freezing Information System
2015 Ninth International Conference on Complex Intelligent and Software Intensive Systems, 2015Co-Authors: Go Hirakawa, Phyu Phyu Kywe, Yoshitaka ShibataAbstract:Recently, the number of Automotive Sensors has increased with the spread of electronic control systems such as driver assistance functions, navigation systems and hybrid systems. Time-Spacial Automotive Sensor data from various environmental and internal information of a vehicle is used for many vehicle control functions and services for passengers. To handle such time-spacial Sensor data, we propose and develop an Automotive Sensor information platform named CoMoSE, which provides the utilized methods of Automotive Sensor information and serves the various services. In this paper, we consider a road surface freezing information providing system and define requests for communication by the system, and implement the road-to-vehicle and vehicle-to-vehicle communication using CoMoSE platform.
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Application of DTN to the Vehicle Sensor Platform CoMoSE
2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops, 2015Co-Authors: Go Hirakawa, Noriki Uchida, Yoshikazu Arai, Yoshitaka ShibataAbstract:Time-Spacial Automotive Sensor data from various environmental and internal information of a vehicle is used for many vehicle control functions and services for passengers. To handle such time-spacial Sensor data, we propose and develop an Automotive Sensor information platform named CoMoSE, which provides the utilized methods of Automotive Sensor information and serves the various services. In this paper, we propose a DTN communication using CoMoSE platform to establish information gathering method in the case of Large-scale disaster.
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AINA Workshops - Application of DTN to the Vehicle Sensor Platform CoMoSE
2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops, 2015Co-Authors: Go Hirakawa, Noriki Uchida, Yoshikazu Arai, Yoshitaka ShibataAbstract:Time-Spacial Automotive Sensor data from various environmental and internal information of a vehicle is used for many vehicle control functions and services for passengers. To handle such time-spacial Sensor data, we propose and develop an Automotive Sensor information platform named CoMoSE, which provides the utilized methods of Automotive Sensor information and serves the various services. In this paper, we propose a DTN communication using CoMoSE platform to establish information gathering method in the case of Large-scale disaster.
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NBiS - Application of Automotive Sensor Information Server Platform to Ubiquitous Sensing System
2014 17th International Conference on Network-Based Information Systems, 2014Co-Authors: Go Hirakawa, Phyu Phyu Kywe, Yoshitaka ShibataAbstract:In Japan, an effective disaster control is needed because Japan is prone to severe disasters including earthquakes, tsunami, typhoon, heavy rain and snow. Application of the ubiquitous sensing system is expected to be an effective disaster prevention system in disaster-prone Japan. In this paper, we examine the possibility to apply COMOSE (Co-Operative Mobile Sensor Environment) platform that collects Automotive Sensor information using the wireless plug-and-play technology to the ubiquitous sensing system.
Go Hirakawa - One of the best experts on this subject based on the ideXlab platform.
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Road-to-Vehicle Communication Using CoMoSE for Road Surface Freezing Information System
2015 Ninth International Conference on Complex Intelligent and Software Intensive Systems, 2015Co-Authors: Go Hirakawa, Phyu Phyu Kywe, Yoshitaka ShibataAbstract:Recently, the number of Automotive Sensors has increased with the spread of electronic control systems such as driver assistance functions, navigation systems and hybrid systems. Time-Spacial Automotive Sensor data from various environmental and internal information of a vehicle is used for many vehicle control functions and services for passengers. To handle such time-spacial Sensor data, we propose and develop an Automotive Sensor information platform named CoMoSE, which provides the utilized methods of Automotive Sensor information and serves the various services. In this paper, we consider a road surface freezing information providing system and define requests for communication by the system, and implement the road-to-vehicle and vehicle-to-vehicle communication using CoMoSE platform.
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CISIS - Road-to-Vehicle Communication Using CoMoSE for Road Surface Freezing Information System
2015 Ninth International Conference on Complex Intelligent and Software Intensive Systems, 2015Co-Authors: Go Hirakawa, Phyu Phyu Kywe, Yoshitaka ShibataAbstract:Recently, the number of Automotive Sensors has increased with the spread of electronic control systems such as driver assistance functions, navigation systems and hybrid systems. Time-Spacial Automotive Sensor data from various environmental and internal information of a vehicle is used for many vehicle control functions and services for passengers. To handle such time-spacial Sensor data, we propose and develop an Automotive Sensor information platform named CoMoSE, which provides the utilized methods of Automotive Sensor information and serves the various services. In this paper, we consider a road surface freezing information providing system and define requests for communication by the system, and implement the road-to-vehicle and vehicle-to-vehicle communication using CoMoSE platform.
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Application of DTN to the Vehicle Sensor Platform CoMoSE
2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops, 2015Co-Authors: Go Hirakawa, Noriki Uchida, Yoshikazu Arai, Yoshitaka ShibataAbstract:Time-Spacial Automotive Sensor data from various environmental and internal information of a vehicle is used for many vehicle control functions and services for passengers. To handle such time-spacial Sensor data, we propose and develop an Automotive Sensor information platform named CoMoSE, which provides the utilized methods of Automotive Sensor information and serves the various services. In this paper, we propose a DTN communication using CoMoSE platform to establish information gathering method in the case of Large-scale disaster.
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AINA Workshops - Application of DTN to the Vehicle Sensor Platform CoMoSE
2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops, 2015Co-Authors: Go Hirakawa, Noriki Uchida, Yoshikazu Arai, Yoshitaka ShibataAbstract:Time-Spacial Automotive Sensor data from various environmental and internal information of a vehicle is used for many vehicle control functions and services for passengers. To handle such time-spacial Sensor data, we propose and develop an Automotive Sensor information platform named CoMoSE, which provides the utilized methods of Automotive Sensor information and serves the various services. In this paper, we propose a DTN communication using CoMoSE platform to establish information gathering method in the case of Large-scale disaster.
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NBiS - Application of Automotive Sensor Information Server Platform to Ubiquitous Sensing System
2014 17th International Conference on Network-Based Information Systems, 2014Co-Authors: Go Hirakawa, Phyu Phyu Kywe, Yoshitaka ShibataAbstract:In Japan, an effective disaster control is needed because Japan is prone to severe disasters including earthquakes, tsunami, typhoon, heavy rain and snow. Application of the ubiquitous sensing system is expected to be an effective disaster prevention system in disaster-prone Japan. In this paper, we examine the possibility to apply COMOSE (Co-Operative Mobile Sensor Environment) platform that collects Automotive Sensor information using the wireless plug-and-play technology to the ubiquitous sensing system.
Phyu Phyu Kywe - One of the best experts on this subject based on the ideXlab platform.
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Road-to-Vehicle Communication Using CoMoSE for Road Surface Freezing Information System
2015 Ninth International Conference on Complex Intelligent and Software Intensive Systems, 2015Co-Authors: Go Hirakawa, Phyu Phyu Kywe, Yoshitaka ShibataAbstract:Recently, the number of Automotive Sensors has increased with the spread of electronic control systems such as driver assistance functions, navigation systems and hybrid systems. Time-Spacial Automotive Sensor data from various environmental and internal information of a vehicle is used for many vehicle control functions and services for passengers. To handle such time-spacial Sensor data, we propose and develop an Automotive Sensor information platform named CoMoSE, which provides the utilized methods of Automotive Sensor information and serves the various services. In this paper, we consider a road surface freezing information providing system and define requests for communication by the system, and implement the road-to-vehicle and vehicle-to-vehicle communication using CoMoSE platform.
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CISIS - Road-to-Vehicle Communication Using CoMoSE for Road Surface Freezing Information System
2015 Ninth International Conference on Complex Intelligent and Software Intensive Systems, 2015Co-Authors: Go Hirakawa, Phyu Phyu Kywe, Yoshitaka ShibataAbstract:Recently, the number of Automotive Sensors has increased with the spread of electronic control systems such as driver assistance functions, navigation systems and hybrid systems. Time-Spacial Automotive Sensor data from various environmental and internal information of a vehicle is used for many vehicle control functions and services for passengers. To handle such time-spacial Sensor data, we propose and develop an Automotive Sensor information platform named CoMoSE, which provides the utilized methods of Automotive Sensor information and serves the various services. In this paper, we consider a road surface freezing information providing system and define requests for communication by the system, and implement the road-to-vehicle and vehicle-to-vehicle communication using CoMoSE platform.
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NBiS - Application of Automotive Sensor Information Server Platform to Ubiquitous Sensing System
2014 17th International Conference on Network-Based Information Systems, 2014Co-Authors: Go Hirakawa, Phyu Phyu Kywe, Yoshitaka ShibataAbstract:In Japan, an effective disaster control is needed because Japan is prone to severe disasters including earthquakes, tsunami, typhoon, heavy rain and snow. Application of the ubiquitous sensing system is expected to be an effective disaster prevention system in disaster-prone Japan. In this paper, we examine the possibility to apply COMOSE (Co-Operative Mobile Sensor Environment) platform that collects Automotive Sensor information using the wireless plug-and-play technology to the ubiquitous sensing system.
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Automotive Sensor Network Platform for Disaster Information System
2014 28th International Conference on Advanced Information Networking and Applications Workshops, 2014Co-Authors: Go Hirakawa, Phyu Phyu Kywe, Yoshitaka ShibataAbstract:In this paper, we introduce a disaster area information gathering and distribution system SODiCS, which is expected to be an effective disaster prevention system in disaster-prone Japan. Moreover, we introduce Automotive Sensor data platform COMOSE, which can easily handle multiple Sensor nodes. Subsequently, we declare functional requirements of SODiCS system and show that it is possible to implement SODiCS system of over COMOSE platform.
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AINA Workshops - Automotive Sensor Network Platform for Disaster Information System
2014 28th International Conference on Advanced Information Networking and Applications Workshops, 2014Co-Authors: Go Hirakawa, Phyu Phyu Kywe, Yoshitaka ShibataAbstract:In this paper, we introduce a disaster area information gathering and distribution system SODiCS, which is expected to be an effective disaster prevention system in disaster-prone Japan. Moreover, we introduce Automotive Sensor data platform COMOSE, which can easily handle multiple Sensor nodes. Subsequently, we declare functional requirements of SODiCS system and show that it is possible to implement SODiCS system of over COMOSE platform.
Matthias Röckl - One of the best experts on this subject based on the ideXlab platform.
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V2V communications in Automotive multi-Sensor multi-target tracking
IEEE Vehicular Technology Conference, 2008Co-Authors: Matthias Röckl, Thomas Strang, Michael KranzAbstract:Today's Automotive Sensor systems for in-vehicle based target tracking, i.e. radar, lidar, camera, are limited to a field of view which is restricted by distance, angle and line-of-sight. Future driver assistance systems such as predictive collision avoidance or situation-aware adaptive cruise control require a more complete and accurate situation awareness in order to detect hazardous and inefficient situations in time. Therefore, we introduce multi-target tracking including vehicle-2-vehicle communications as a complementing Sensor for future driver assistance systems. The demonstration presents set-up, functionality and results of multi-Sensor multi-target tracking based on particle filtering.
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integration of car 2 car communication as a virtual Sensor in Automotive Sensor fusion for advanced driver assistance systems
2008Co-Authors: Matthias Röckl, Jan Gacnik, Jan SchomerusAbstract:Advanced driver assistance systems (ADAS) require a comprehensive and accurate situation model. Often in-vehicle Sensors do not provide su cient quality and quantity of information to fulfill the demanding requirements. Car-2-Car communication can be seen as an adaptive Sensor that provides additional information regularly but also on demand. Due to the fact that Car-2-Car communication strongly depends on the penetration rate, we argue for a seamless integration of Car-2-Car communication as an additional Sensor in Automotive Sensor fusion. With increasing penetration rate the Sensor fusion will significantly benefit and eventually unfold its full potential. Due to the fundamentally di erent measuring principles of in-vehicle Sensors and information provided by Car-2-Car communication, redundancy and complementarity can be leveraged to a great extent, thus, increasing accuracy, reliability and robustness of the situation assessment. In addition to a detailed description of the fusion algorithm this paper outlines DLR's system architecture for ADAS and an enhanced ACC as an application example to show the potential of our approach.
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V2V Communications in Automotive Multi-Sensor Multi-Target Tracking
2008 IEEE 68th Vehicular Technology Conference, 2008Co-Authors: Matthias Röckl, Thomas Strang, Matthias KranzAbstract:Today's Automotive Sensor systems for in-vehicle based target tracking, i.e. radar, lidar, camera, are limited to a field of view which is restricted by distance, angle and line-of-sight. Future driver assistance systems such as predictive collision avoidance or situation-aware adaptive cruise control require a more complete and accurate situation awareness in order to detect hazardous and inefficient situations in time. Therefore, we introduce multi-target tracking including vehicle-2-vehicle communications as a complementing Sensor for future driver assistance systems. The paper presents first simulation results of our algorithm which show promising outcomes.
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Demonstrator: V2V Communications in Automotive Multi-Sensor Multi-Target Tracking
2008 IEEE 68th Vehicular Technology Conference, 2008Co-Authors: Matthias Röckl, Thomas Strang, Matthias KranzAbstract:Today's Automotive Sensor systems for in-vehicle based target tracking, i.e. radar, lidar, camera, are limited to a field of view which is restricted by distance, angle and line-of-sight. Future driver assistance systems such as predictive collision avoidance or situation-aware adaptive cruise control require a more complete and accurate situation awareness in order to detect hazardous and inefficient situations in time. Therefore, we introduce multi-target tracking including vehicle-2-vehicle communications as a complementing Sensor for future driver assistance systems. The demonstration presents set-up, functionality and results of multi-Sensor multi-target tracking based on particle filtering.
Matthias Kranz - One of the best experts on this subject based on the ideXlab platform.
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V2V Communications in Automotive Multi-Sensor Multi-Target Tracking
2008 IEEE 68th Vehicular Technology Conference, 2008Co-Authors: Matthias Röckl, Thomas Strang, Matthias KranzAbstract:Today's Automotive Sensor systems for in-vehicle based target tracking, i.e. radar, lidar, camera, are limited to a field of view which is restricted by distance, angle and line-of-sight. Future driver assistance systems such as predictive collision avoidance or situation-aware adaptive cruise control require a more complete and accurate situation awareness in order to detect hazardous and inefficient situations in time. Therefore, we introduce multi-target tracking including vehicle-2-vehicle communications as a complementing Sensor for future driver assistance systems. The paper presents first simulation results of our algorithm which show promising outcomes.
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Demonstrator: V2V Communications in Automotive Multi-Sensor Multi-Target Tracking
2008 IEEE 68th Vehicular Technology Conference, 2008Co-Authors: Matthias Röckl, Thomas Strang, Matthias KranzAbstract:Today's Automotive Sensor systems for in-vehicle based target tracking, i.e. radar, lidar, camera, are limited to a field of view which is restricted by distance, angle and line-of-sight. Future driver assistance systems such as predictive collision avoidance or situation-aware adaptive cruise control require a more complete and accurate situation awareness in order to detect hazardous and inefficient situations in time. Therefore, we introduce multi-target tracking including vehicle-2-vehicle communications as a complementing Sensor for future driver assistance systems. The demonstration presents set-up, functionality and results of multi-Sensor multi-target tracking based on particle filtering.
