Evaluation of V2V and V2I mesh prototypes based on a wireless sensor network

Naranjo, José Eugenio; Zato, José G.; Redondo, Luis; Oliva, Mario Montanino; Jiménez, Felipe; Gómez, Nuria

doi:10.1109/itsc.2011.6082864

Cited by 7 publications

(4 citation statements)

References 9 publications

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“…The protocol implemented in TinyOS for the mesh routing reconfigures the network in accordance with the root mean square (RMS) value of the different network nodes signal. As shown in [61], the latency of the mesh network is less than 1 ms, in direct connection one hop and two hops. The number of lost messages in mobility is 6.25% at speeds up to 50 km/h and the mesh structure is reconfigured only when one node loses the connection with its established route, using the transmission and reception powers as parameters to take this decision.…”

Section: Collision Avoidance Systemmentioning

confidence: 99%

Autonomous Manoeuvring Systems for Collision Avoidance on Single Carriageway Roads

Jiménez

Naranjo

Gómez

2012

Sensors

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The accurate perception of the surroundings of a vehicle has been the subject of study of numerous automotive researchers for many years. Although several projects in this area have been successfully completed, very few prototypes have actually been industrialized and installed in mass produced cars. This indicates that these research efforts must continue in order to improve the present systems. Moreover, the trend to include communication systems in vehicles extends the potential of these perception systems transmitting their information via wireless to other vehicles that may be affected by the surveyed environment. In this paper we present a forward collision warning system based on a laser scanner that is able to detect several potential danger situations. Decision algorithms try to determine the most convenient manoeuvre when evaluating the obstacles’ positions and speeds, road geometry, etc. Once detected, the presented system can act on the actuators of the ego-vehicle as well as transmit this information to other vehicles circulating in the same area using vehicle-to-vehicle communications. The system has been tested for overtaking manoeuvres under different scenarios and the correct actions have been performed.

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Section: Collision Avoidance Systemmentioning

confidence: 99%

Autonomous Manoeuvring Systems for Collision Avoidance on Single Carriageway Roads

Jiménez

Naranjo

Gómez

2012

Sensors

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“…Utilizing these kinds of software-centric systems offers efficient ADAS even for low-cost vehicles in addition to the sophisticated luxury class of the vehicles which improves safety and reaches the industry’s goal for zero vehicle-related accidents, fatalities, and obsolete comfort for drivers. The advanced driver assistance system (ADAS) in an automotive is designed to serve the purpose of cruise control only during initial times, which was then aided with cognitive computing [ 4 ] and sensor clusters used in the emergency brake systems [ 18 ], drive beam, blind spot monitoring, auto parking, lane departure warning and assist to support the driving through increased safety and guidance [ 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 ]. The modern systems utilize intercommunication between vehicles, where the pedestrian detection and collision avoidance feature data were shared among vehicles to improve the error-prone systems in critical situations using different architectures such as V2V and V2I integrated with Internet of Things (IoT) structure [ 3 ] taking into consideration the different level security during communication.…”

Section: Introductionmentioning

confidence: 99%

“…In each generation, several subsystems such as ADAS using VANET protocol-based pedestrian detection with V2X [ 7 ], V2V-based lane change warning system [ 6 ], V2V-based crash detection and warning using vehicle position, context detection [ 23 , 33 ], YOLO (You Only Look Once)-based lane detection system using CSI camera [ 34 ] were developed where each of these systems offered a prominent and essential critical feature for a vehicle drive. Recent research focuses on integrating these subsystems using secure intercommunication with real-time protocols such as DSRC (dedicated short-range communication) and future 5G technologies [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

Advanced Driver Assistance System Based on IoT V2V and V2I for Vision Enabled Lane Changing with Futuristic Drivability

Suganthi

Kumar

Harish

et al. 2023

Sensors

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In conventional modern vehicles, the Internet of Things-based automotive embedded systems are used to collect various data from real-time sensors and store it in the cloud platform to perform visualization and analytics. The proposed work is to implement computer vision-aided vehicle intercommunication V2V (vehicle-to-vehicle) implemented using the Internet of Things for an autonomous vehicle. Computer vision-based driver assistance supports the vehicle to perform efficiently in critical transitions such as lane change or collision avoidance during the autonomous driving mode. In addition to this, the main work emphasizes observing multiple parameters of the In-Vehicle system such as speed, distance covered, idle time, and fuel economy by the electronic control unit are evaluated in this process. Electronic control unit through brake control module, powertrain control module, transmission control module, suspension control module, and battery management system helps to predict the nature of drive-in different terrains and also can suggest effective custom driving modes for advanced driver assistance systems. These features are implemented with the help of the vehicle-to-infrastructure protocol, which collects data through gateway nodes that can be visualized in the IoT data frame. The proposed work involves the process of analyzing and visualizing the driver-influencing factors of a modern vehicle that is in connection with the IoT cloud platform. The custom drive mode suggestion and improvisation had been completed with help of computational analytics that leads to the deployment of an over-the-air update to the vehicle embedded system upgradation for betterment in drivability. These operations are progressed through a cloud server which is the prime factor proposed in this work.

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“…In this paper, we present some results of the iVANET project (Mesh Communications for Intelligent Vehicles and Infrastructures) that is under development at the Technical University of Madrid, where WSN technology is used as a basis to implement VANETs and test them in real traffic circulation situations in order to validate the feasibility of this technology to be used as a testbed for vehicular communication systems. In the first step of this project, the technology was tested in controlled and urban traffic situations [26]. In the second step, these systems were validated on public highways [15].…”

Section: Introductionmentioning

confidence: 99%

A Novel Geo-Broadcast Algorithm for V2V Communications over WSN

et al. 2014

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The key for enabling the next generation of advanced driver assistance systems (ADAS), the cooperative systems, is the availability of vehicular communication technologies, whose mandatory installation in cars is foreseen in the next few years. The definition of the communications is in the final step of development, with great efforts on standardization and some field operational tests of network devices and applications. However, some inter-vehicular communications issues are not sufficiently developed and are the target of research. One of these challenges is the construction of stable networks based on the position of the nodes of the vehicular network, as well as the broadcast of information destined to nodes concentrated in a specific geographic area without collapsing the network. In this paper, a novel algorithm for geo-broadcast communications is presented, based on the evolution of previous results in vehicular mesh networks using wireless sensor networks with IEEE 802.15.4 technology. This algorithm has been designed and compared with the IEEE 802.11p algorithms, implemented and validated in controlled conditions and tested on real vehicles. The results suggest that the characteristics of the designed broadcast algorithm can improve any vehicular communications architecture to complement a geo-networking functionality that supports a variety of ADAS.

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Evaluation of V2V and V2I mesh prototypes based on a wireless sensor network

Cited by 7 publications

References 9 publications

Autonomous Manoeuvring Systems for Collision Avoidance on Single Carriageway Roads

Autonomous Manoeuvring Systems for Collision Avoidance on Single Carriageway Roads

Advanced Driver Assistance System Based on IoT V2V and V2I for Vision Enabled Lane Changing with Futuristic Drivability

A Novel Geo-Broadcast Algorithm for V2V Communications over WSN

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