The Experts below are selected from a list of 46452 Experts worldwide ranked by ideXlab platform
Fernando Garcia - One of the best experts on this subject based on the ideXlab platform.
-
automatic extrinsic calibration for lidar stereo Vehicle Sensor setups
International Conference on Intelligent Transportation Systems, 2017Co-Authors: Carlos Guindel, Jorge Beltran, David Martin, Fernando GarciaAbstract:Sensor setups consisting of a combination of 3D range scanner lasers and stereo vision systems are becoming a popular choice for on-board perception systems in Vehicles; however, the combined use of both sources of information implies a tedious calibration process. We present a method for extrinsic calibration of lidar-stereo camera pairs without user intervention. Our calibration approach is aimed to cope with the constraints commonly found in automotive setups, such as low-resolution and specific Sensor poses. To demonstrate the performance of our method, we also introduce a novel approach for the quantitative assessment of the calibration results, based on a simulation environment. Tests using real devices have been conducted as well, proving the usability of the system and the improvement over the existing approaches. Code is available at http://wiki.ros.org/velo2cam_calibration.
-
automatic extrinsic calibration for lidar stereo Vehicle Sensor setups
arXiv: Computer Vision and Pattern Recognition, 2017Co-Authors: Carlos Guindel, Jorge Beltran, David Martin, Fernando GarciaAbstract:Sensor setups consisting of a combination of 3D range scanner lasers and stereo vision systems are becoming a popular choice for on-board perception systems in Vehicles; however, the combined use of both sources of information implies a tedious calibration process. We present a method for extrinsic calibration of lidar-stereo camera pairs without user intervention. Our calibration approach is aimed to cope with the constraints commonly found in automotive setups, such as low-resolution and specific Sensor poses. To demonstrate the performance of our method, we also introduce a novel approach for the quantitative assessment of the calibration results, based on a simulation environment. Tests using real devices have been conducted as well, proving the usability of the system and the improvement over the existing approaches. Code is available at this http URL
Ruben Gonzalezcrespo - One of the best experts on this subject based on the ideXlab platform.
-
fuzzy decision method to improve the information exchange in a Vehicle Sensor tracking system
Applied Soft Computing, 2015Co-Authors: Guillermo Cuevafernandez, Vicente Garciadiaz, Jordán Pascual Espada, Ruben GonzalezcrespoAbstract:Internet of Things is based on the identification of real-world objects in a unique way that interconnects them by means of communication interfaces. Such a simple idea allows the emergence of a huge number of new applications in almost any domain of knowledge. One of the most prominent areas of application is road Vehicles, which currently have, on average, more than 50 Sensors inside and which information can be accessed through a standard protocol. With this, Vehicles have become real smart objects that can interact with other objects or any software system. To allow that, our previous work focused on proposing and developing the Vitruvius platform, where users with no programming knowledge can design and quickly generate Web applications based on the real-time data consumption from interconnected Vehicles. The problem is that the sending of such information is out of control, being unable to filter out when the best time to send the information is and what information should be sent at any moment in order to minimize the resource consumption of the mobile device that acts as a bride between the Vehicle and the database in which all the information is stored. Thus, in this work we propose a fuzzy algorithm that allows to optimize the resources that are used by real-time applications that constantly send data while maintaining data quality, contextualized in Vehicle Sensor tracking systems and the applications that can be built above them.
Carlos Guindel - One of the best experts on this subject based on the ideXlab platform.
-
automatic extrinsic calibration for lidar stereo Vehicle Sensor setups
International Conference on Intelligent Transportation Systems, 2017Co-Authors: Carlos Guindel, Jorge Beltran, David Martin, Fernando GarciaAbstract:Sensor setups consisting of a combination of 3D range scanner lasers and stereo vision systems are becoming a popular choice for on-board perception systems in Vehicles; however, the combined use of both sources of information implies a tedious calibration process. We present a method for extrinsic calibration of lidar-stereo camera pairs without user intervention. Our calibration approach is aimed to cope with the constraints commonly found in automotive setups, such as low-resolution and specific Sensor poses. To demonstrate the performance of our method, we also introduce a novel approach for the quantitative assessment of the calibration results, based on a simulation environment. Tests using real devices have been conducted as well, proving the usability of the system and the improvement over the existing approaches. Code is available at http://wiki.ros.org/velo2cam_calibration.
-
automatic extrinsic calibration for lidar stereo Vehicle Sensor setups
arXiv: Computer Vision and Pattern Recognition, 2017Co-Authors: Carlos Guindel, Jorge Beltran, David Martin, Fernando GarciaAbstract:Sensor setups consisting of a combination of 3D range scanner lasers and stereo vision systems are becoming a popular choice for on-board perception systems in Vehicles; however, the combined use of both sources of information implies a tedious calibration process. We present a method for extrinsic calibration of lidar-stereo camera pairs without user intervention. Our calibration approach is aimed to cope with the constraints commonly found in automotive setups, such as low-resolution and specific Sensor poses. To demonstrate the performance of our method, we also introduce a novel approach for the quantitative assessment of the calibration results, based on a simulation environment. Tests using real devices have been conducted as well, proving the usability of the system and the improvement over the existing approaches. Code is available at this http URL
Guillermo Cuevafernandez - One of the best experts on this subject based on the ideXlab platform.
-
fuzzy decision method to improve the information exchange in a Vehicle Sensor tracking system
Applied Soft Computing, 2015Co-Authors: Guillermo Cuevafernandez, Vicente Garciadiaz, Jordán Pascual Espada, Ruben GonzalezcrespoAbstract:Internet of Things is based on the identification of real-world objects in a unique way that interconnects them by means of communication interfaces. Such a simple idea allows the emergence of a huge number of new applications in almost any domain of knowledge. One of the most prominent areas of application is road Vehicles, which currently have, on average, more than 50 Sensors inside and which information can be accessed through a standard protocol. With this, Vehicles have become real smart objects that can interact with other objects or any software system. To allow that, our previous work focused on proposing and developing the Vitruvius platform, where users with no programming knowledge can design and quickly generate Web applications based on the real-time data consumption from interconnected Vehicles. The problem is that the sending of such information is out of control, being unable to filter out when the best time to send the information is and what information should be sent at any moment in order to minimize the resource consumption of the mobile device that acts as a bride between the Vehicle and the database in which all the information is stored. Thus, in this work we propose a fuzzy algorithm that allows to optimize the resources that are used by real-time applications that constantly send data while maintaining data quality, contextualized in Vehicle Sensor tracking systems and the applications that can be built above them.
Guiling Wang - One of the best experts on this subject based on the ideXlab platform.
-
An integrated network of roadside Sensors and Vehicles for driving safety: Concept, design and experiments
Pervasive Computing and Communications (PerCom) 2010 IEEE International Conference on, 2010Co-Authors: Hua Qin, Xuejia Lu, Zi Li, Wensheng Zhang, Yanfei Wang, Guiling WangAbstract:One major goal of the vehicular ad hoc network (VANET) is to improve driving safety. However, the VANET may not guarantee timely detection of dangerous road conditions or maintain communication connectivity when the network density is low (e.g., in rural highways), which may pose as a big threat to driving safety. Towards addressing the problem, we propose to integrate the VANET with the inexpensive wireless Sensor network (WSN). That is, Sensor nodes are deployed along the roadside to sense road conditions, and to buffer and deliver information about dangerous conditions to Vehicles regardless of the density or connectivity of the VANET. Along with the concept of VANET-WSN integration, new challenges arise and should be addressed. In this paper, we investigate these challenges and propose schemes for effective and efficient Vehicle-Sensor and Sensor-Sensor interactions. Prototype of the designed system has been implemented and tested in the field. Extensive simulations have also been conducted to evaluate the designed schemes. The results demonstrate various design tradeoffs, and indicate that satisfactory safety and energy efficiency can be achieved simultaneously when system parameters are appropriately chosen.
