Edgar Talavera

Vehicle to Vehicle GeoNetworking using Wireless Sensor Networks

Vehicular communications will be the next quality step in the development of automotive technologies. Defining these communications is currently in the final step of development, the focus being on standardization and field tests of network devices and Advanced Driver Assistance Systems. However, some issues regarding vehicular communications that require a specific research effort are still open and represent a challenge if the technology is to be ultimately implemented and marketed. One of these challenges is to develop effective GeoNetworking in vehicular communications. This concept means that the Vehicle Ad-hoc NETwork (VANET) data package transmission is organized according to the topographical location of the different network nodes (vehicles), with the data flow being organized optimally so as to cover the surroundings of each vehicle. The core of this GeoNetworking system is the GeoRouting algorithm that supports the optimal routing of the data packages and reorganizes the network structure in accordance with the positions of the nodes. In this paper we present a novel GeoRouting algorithm for unicast communications, based on the evolution of the previous results of vehicular mesh networks using IEEE 802.15.4 Wireless Sensor Networks (WSN) technology. This algorithm has been designed, implemented and validated under controlled conditions and tested in real vehicles on real roads with free-flow traffic. The results suggest that the features of this routing algorithm can be inserted into any vehicular architecture to provide functioning GeoNetworking that will support a wide range of Advanced Driving Assistance System (ADAS) applications.

Application of vehicle to another entity (V2X) communications for motorcycle crash avoidance

ABSTRACT Information and communication technologies are being massively applied in the automotive field as the basis of the new generation of active safety systems. In this extensive field of technologies, vehicular communications will constitute the core of a large set of advanced driving assistance systems for improving road safety as well as helping to reduce the environmental impact of transport. These communication technologies are currently under deployment, but their mandatory installation in newly manufactured cars is foreseen in the next 5 years. This equipment will enable the new Advanced Driver Assistance Systems (ADAS) system to be installed in these vehicles. Many of these safety applications are currently under development. However, there are some road users who are not commonly included in this vehicular communication ecosystem, specifically, vulnerable road users, such as pedestrians, cyclists, and motorcyclists. Current assistance systems focused on reducing crashes with this user group are based on sensors installed in the vehicles but do not include vehicular communications. In this article, we present a novel Vulnerable Road User (VRU) warning system based on Vehicle-to-Vehicle (V2V) communications, which is capable of detecting a motorcycle circulating in the vicinity of the connected vehicles, launching sound and visual warnings, and using a smartphone as human-machine interface. The system has been designed, implemented, and tested in the laboratory as well as on real roads in real traffic flow.

Vulnerable Road Users Detection Using V2X Communications

Vehicle to vehicle (V2V) communications allow to sharing real-time information among the vehicles that circulate on the nearby road areas. These communications systems are today in an early stage of development and the effort are focused into two directions, on one hand, the development of the communications infrastructure to support the information exchange. On the other hand, the development of Advanced Driver Assistance Systems (ADAS) as well as safety systems that takes advantages of these communications. Additionally, the V2V communications systems are mainly focused to cars and trucks, showing less concern for Vulnerable Road Users, pedestrians, motorcyclists and cyclists. In this paper a novel ADAS is presented, focused to avoid accidents that involve motorcyclist and cyclists using V2V communications, incorporating them to the vehicular networking taking into account the intrinsic features of each collective and adapting to increase their safety.

Motorcycle detection for ADAS through camera and V2V Communication, a comparative analysis of two modern technologies

Two Vulnerable Road User Detection Approaches presented.Comparison tests of two state of the art technologies for ADAS application: V2V and sensor based data fusion.V2V technology able to be implemented in any vehicle, with mobile phone interface.Data fusion based on computer vision and laser scanner detection algorithm.Real tests for both subsystem proves the real time performance and the accuracy of the detections. Motorcycles are one of the most dangerous means of transportation. Its death toll is higher than in others, due to the inherent vulnerability of motorcycle drivers. The latest strategies in Advanced Driving Assistance Systems (ADAS) are trying to mitigate this problem by applying the advances of modern technologies to the road transport. This paper presents two different approaches on motorcycle protection, based on two of the most modern available technologies in ADAS, i.e. Computer Vision and Vehicle to Vehicle Communication (V2V). The first approach is based on data fusion of Laser Scanner and Computer Vision, providing accurate obstacle detection and localization based on laser scanner, and obstacle classification using computer vision and laser. The second approach is based on ad-hoc V2V technology and provides detection in case of occlusion for visual sensors. Both technologies have been tested in the presented work, and a performance comparison is given. Tests performed in different driving situations allows to measure the performance of every algorithm and the limitations of each of them based on empirical and scientific foundations. The conclusions of the presented work help foster of expert systems in the automotive sector by providing further discussion of the viability and impact from each of these systems in real scenarios.

GeoNetworking based V2V Mesh Communications over WSN

An intensive effort is presently carried out in order to research and develop vehicular communication systems. Several standards, prototypes and field operational tests are under deployment all around the world, involving multiple research centers and vehicle and electronics manufacturers. However, some research lines are open today, in which vehicular communication systems with guaranteed reliability and robustness are necessary. One of these challenges is the development of an effective GeoNetworking in vehicular communications. This concept means that the vehicle ad-hoc network (VANET) bases the data package transmission in the topographical location of the different nodes (vehicles) of the network, organizing the data flow in an optimal way that covers the surroundings of each vehicle. The core of this GeoNetworking system is the GeoRouting algorithm, that supports the optimal routing of the data packages and reorganizes the network structure in function of the positions of the nodes. In this paper we present a novel GeoRouting algorithm, based in the evolution of previous results of mesh vehicular networks. This algorithm has been designed, implemented and tested in real vehicles in real roads with free flow traffic. The results suggest that the features of the designed routing algorithm can be applied as core of any kind of vehicular network to support ADAS applications.

Highway test of V2V mesh communications over WSN

Wireless vehicular communications are one of the most important technologies in the ITS field to improve the transport safety as well efficiency impact. Several standards definitions, hardware developments, research projects, use cases definitions and field operational tests are currently under deployment in order to accelerate the market availability of this technology. Nevertheless, though the possible applications of vehicular communications are defined, there is a lack of availability of completely functional communication technology to support these applications. In this paper we present the results of a V2V communications field operational test using Wireless Sensor Networks (WSN) as nodes of the VANET and three vehicles that circulate on public highways in free flow traffic situations. These results show that this communications technology is able to support continuous mesh data transmission with enough features of efficiency and reliability to be used as main data source in a big set of advanced driver assistance systems (ADAS).

Vehicular GeoNetworking based communications to support cooperative safety systems

En la actualidad, se esta llevando a cabo una intensa labor con el fin de investigar y desarrollar sistemas de comunicaciones vehiculares, que serviran de soporte a los denominados sistemas de seguridad cooperativos. Varias normas, prototipos y pruebas operativas sobre el terreno estan en proceso de desarrollo en todo el mundo, implicando tanto a centros de investigacion como a fabricantes de vehiculos y de electronica. Sin embargo, algunas lineas de investigacion aun estan abiertas hoy en dia, fundamentalmente en el ambito de garantizar comunicaciones vehiculares con la suficiente calidad en cuanto a fiabilidad y robustez para dar ser vicio a aplicaciones de asistencia y seguridad en la conduccion. Uno de estos retos es el desarrollo de soporte de comunicaciones basadas en topologia fisica de los nodos o GeoNetworking. Este concepto significa que la red ad-hoc vehicular (VANET) basa la transmision de los paquetes de datos en la localizacion topografica de los diferentes nodos (vehiculos) de la red, organizando el flujo de datos de una manera optima que cubra los alrededores de cada vehiculo. El nucleo de este sistema GeoNetworking es el algoritmo GeoRouting, que soporta el encaminamiento optimo de los paquetes de datos y reorganiza la estructura de la red en funcion de las posiciones de los nodos. En esta ponencia se presenta un nuevo algoritmo GeoRouting, basado en la evolucion de los resultados anteriores de redes vehiculares malla. Este algoritmo se ha disenado, implementado y probado en vehiculos reales en carreteras reales con flujo de trafico libre. Los resultados sugieren que las caracteristicas del algoritmo de enrutamiento disenado se pueden aplicar como nucleo de cualquier tipo de red vehicular para soportar aplicaciones de asistencia a la conduccion basadas en sistemas de seguridad cooperativos.

Comunicaciones vehiculares georreferenciadas como soporte a sistemas de seguridad cooperativos

En la actualidad, se esta llevando a cabo una intensa labor con el fin de investigar y desarrollar sistemas de comunicaciones vehiculares, que serviran de soporte a los denominados sistemas de seguridad cooperativos. Varias normas, prototipos y pruebas operativas sobre el terreno estan en proceso de desarrollo en todo el mundo, implicando tanto a centros de investigacion como a fabricantes de vehiculos y de electronica. Sin embargo, algunas lineas de investigacion aun estan abiertas hoy en dia, fundamentalmente en el ambito de garantizar comunicaciones vehiculares con la suficiente calidad en cuanto a fiabilidad y robustez para dar ser vicio a aplicaciones de asistencia y seguridad en la conduccion. Uno de estos retos es el desarrollo de soporte de comunicaciones basadas en topologia fisica de los nodos o GeoNetworking. Este concepto significa que la red ad-hoc vehicular (VANET) basa la transmision de los paquetes de datos en la localizacion topografica de los diferentes nodos (vehiculos) de la red, organizando el flujo de datos de una manera optima que cubra los alrededores de cada vehiculo. El nucleo de este sistema GeoNetworking es el algoritmo GeoRouting, que soporta el encaminamiento optimo de los paquetes de datos y reorganiza la estructura de la red en funcion de las posiciones de los nodos. En esta ponencia se presenta un nuevo algoritmo GeoRouting, basado en la evolucion de los resultados anteriores de redes vehiculares malla. Este algoritmo se ha disenado, implementado y probado en vehiculos reales en carreteras reales con flujo de trafico libre. Los resultados sugieren que las caracteristicas del algoritmo de enrutamiento disenado se pueden aplicar como nucleo de cualquier tipo de red vehicular para soportar aplicaciones de asistencia a la conduccion basadas en sistemas de seguridad cooperativos.