Realization of anti-collision warning application using V2V communication

Cho, Woong; Han, Kai; Choi, Hyun Kyun; Oh, Hyun Seo

doi:10.1109/vnc.2009.5416390

Cited by 14 publications

(12 citation statements)

References 3 publications

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“…1) Network Performance: Connected vehicle applications may require realtime data. For time critical applications such as safety applications or vehicle control, messaging must be low latency and delay bounded [135], [136]. Stale data must be pruned to avoid having a net-negative effect on the system [137].…”

Section: A Connectivity Considerationsmentioning

confidence: 99%

A Survey of the Connected Vehicle Landscape—Architectures, Enabling Technologies, Applications, and Development Areas

Siegel

Erb

Sarma

2018

IEEE Trans. Intell. Transport. Syst.

350

176

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This paper summarizes the state of the art in connected vehicles-from the need for vehicle data and applications thereof, to enabling technologies, challenges, and identified opportunities. Connectivity is increasing around the world and its expansion to vehicles is no exception. With improvements in connectivity, sensing, and computation, the future will see vehicles used as development platforms capable of generating rich data, acting based on inference, and effecting great change in transportation, the human-vehicle dynamic, the environment, and the economy. Connected vehicle technologies have already been used to improve fleet safety and efficiency, with emerging technologies additionally allowing data to be used to inform aspects of vehicle design, ownership, and use. While the demand for connected vehicles and its enabling technology has progressed significantly in recent years, there remain challenges to connected and collaborative vehicle application deployment before the full potential of connected cars may be realized. From extensibility and scalability to privacy and security, this paper informs the reader about key enabling technologies, opportunities, and challenges in the connected vehicle landscape.

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Section: A Connectivity Considerationsmentioning

confidence: 99%

A Survey of the Connected Vehicle Landscape—Architectures, Enabling Technologies, Applications, and Development Areas

Siegel

Erb

Sarma

2018

IEEE Trans. Intell. Transport. Syst.

350

176

View full text Add to dashboard Cite

show abstract

“…The compute complexity of the algorithms involved as well as the requirement to incorporate security and privacy means parallelism, isolation, and deterministic performance are important. Multiple researchers have explored the possibilities for reconfigurable hardware in V2X systems [126,127,128,129]. Novel ECU architectures [126] and efficient implementations of applications like collision detection [127] that utilise V2X communication on reconfigurable hardware have been presented.…”

Section: Fpgas As Compute Units (Ecus)mentioning

confidence: 99%

“…Multiple researchers have explored the possibilities for reconfigurable hardware in V2X systems [126,127,128,129]. Novel ECU architectures [126] and efficient implementations of applications like collision detection [127] that utilise V2X communication on reconfigurable hardware have been presented. They show that FPGA-based implementation enables better computational performance as well as integration of extended features like security and authentication, that are a key requirements in V2X systems.…”

Section: Fpgas As Compute Units (Ecus)mentioning

confidence: 99%

Enhancing automotive embedded systems with FPGAs

Shreejith¹

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Modern vehicles represent a complex distributed cyber-physical system that simultaneously handles critical functions like drive-by-wire systems, non-critical functions like window/door control, and compute intensive multimedia functions. Distributed electronic control units (ECUs), which integrate processing elements and supporting peripherals (network interfaces, memory), implement a variety of functions in software, and information is exchanged between ECUs and sensors/actuators over in-vehicle networks. As the complexity of applications rises with increasing automation, extensive hardware support is required in the form of multicore processors or special purpose hardware accelerators to offer required levels of performance. Additional features also drive an increase in the number of ECUs since new functions are rarely consolidated on existing ECUs. Furthermore, network interfaces implemented as ASICs or dedicated logic must be adapted to handle increased communication loads, consuming power and requiring more infrastructure support in terms of cabling and weight. The increasing number of safety-critical functions further impacts complexity if existing one-to-one redundancy schemes are applied. Rising automation also poses news challenges like security, with researchers showing that internal networks are easily manipulated with catastrophic effects and total loss of control. Our research aims to address these challenges using architectural enhancements that are transparent at the computational and network levels, leveraging the capabilities of reconfigurable hardware. We present advanced ECU architectures with extended network capabilities, apply these in the context of safety critical systems, explore ways of extending these schemes to offer advanced security features, and show how such advanced systems can be validated in hardware. Our work represents an advancement in the state of the art with regard to applying FPGAs in vehicular systems.

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“…Collision Warning (CW) for driving assistance has been the focus of studies (CHO et al, 2009;ZHU;SINGH, 2010;SEBASTIAN et al, 2009) in the last decade. Generally, the CW models are divided in three main parts: i) perception of vehicle's environment; ii) collision compute; and iii) presentation of the collision compute results for the driver.…”

Section: Modelmentioning

confidence: 99%

“…In relation to the collision compute, some kinematic approaches that allow taking the information obtained from perception of the vehicle's environment are used normally. In some studies (CHO et al, 2009;ZHU;SINGH, 2010;SEBASTIAN et al, 2009; XIANG; QIN; XIANG, 2014; HUANG; LIN, 2013; ZARDOSHT; BEAUCHEMIN; BAUER, 2013), a set of assumptions (e.g., sensors type, sensors data output, or map use, among others) that allow to describe the model are also considered. Finally, the obtained results in the collision compute have to be presented for the driver, with the objective of notifying the driver about the possibility of a risk situation in the vehicle's environment.…”

Section: Modelmentioning

confidence: 99%

Cooperative driver assistance system for the lane change

Hernandez¹

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Dedico este trabalho a Deus, por seu infinito amor e bondade, e por manter sempre firme suas mãos nos momentos em que mais precisei dele, a minha amada esposa, Ayumi, pela força que dá em minha vida, e por ser o sol nascente de nossa família, a minha mãe, Nelly, por me ensinar que agindo corretamente, coisas boas sempre chegam, a minha família, por ser uma das motivações de minha vida, ao generoso povo Brasileiro "gigante pela própria natureza", por ampliar minha visão da ciência e do mundo. "Santandereanos siempre adelante, Santandereanos ni un paso atrás." (Himo de Santander-Colombia) ABSTRACT ANDRÉS EDUARDO, G. H. Cooperative driver assistance system for the lane change. 2018. 139 p. Tese (Doutorado em Ciências

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Realization of anti-collision warning application using V2V communication

Cited by 14 publications

References 3 publications

A Survey of the Connected Vehicle Landscape—Architectures, Enabling Technologies, Applications, and Development Areas

A Survey of the Connected Vehicle Landscape—Architectures, Enabling Technologies, Applications, and Development Areas

Enhancing automotive embedded systems with FPGAs

Cooperative driver assistance system for the lane change

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