Towards Manoeuver Negotiation: AutoNet2030 Project from a Car Maker Perspective

Visintainer, Filippo; Altomare, Luciano; Toffetti, Antonella; Kovács, Ágnes Melinda; Amditis, Angelos

doi:10.1016/j.trpro.2016.05.239

Cited by 9 publications

(9 citation statements)

References 2 publications

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“…In addition, [7], [29] proposed a prototype for VANETs, multisensor data fusion for exchange of short safety messages and multiple object tracking are validated using real-world scenarios. Furthermore, [30] proposed vehicle control, such as efficient and reliable maneuvering negotiations and interactions vehicles. Moreover, [31] developed V2V millimetre wave radio channel characterisation and modelling for 5G V2V communications.…”

Section: ) Developmentmentioning

confidence: 99%

“…Connected vehicles can use wireless communication to exchange sensor data, allowing them to enlarge their sensing range and improve automated driving functions [78], [104], thereby maximising information sharing among vehicles [55]. An algorithm can accurately predict the broadcast fail probability and effective broadcast coverage [82], maneuvre negotiations and interactions among vehicles efficiently and reliably [30], operate systems at millimetre wave frequencies where the needed bandwidth may be available [31] and allow direct data transmission over proximate peer-to-peer links [110].…”

Section: ) Benefits Related To V2v Interoperabilitymentioning

confidence: 99%

“…Other challenges are related to variable network density and network fragmentation [13], which motivate researchers to look at new technological solutions for limited bandwidth [109]. A new type of communication networks and scenarios for modern cities is needed to develop local, low-latency data exchange among direct neighbouring vehicles, which implies the need for dedicated shortrange communication based on the IEEE802.11p standard or VANETs [30], [63] where vehicles cam communicate and exchange information, such as traffic conditions or safety warnings [91], [126]. The system design for rapid detection of neighbouring vehicles with fast recognition [71] should provide data sharing and line-of-sight communication through DSRC [32], [103] and is one of the key challenges in V2V communication.…”

Section: ) Concerns On Mobility and Reliabilitymentioning

confidence: 99%

“…This section briefly describes the devices used in previous experiments of methodological aspects. Vehicles are equipped with the IEEE 802.11p DSRC [2], [3], [8], [32], [34], [48], [90], [98] or LTE [50] to provide V2V communication using Bluetooth [95], Raspberry Pi board [33], [124], [129] and standard ETSI with ITS-G5 [8], [30]. An implementation of V2V communication paradigm using Arduino Mega board is performed by connecting WiFi to Arduino using Wiznet W5100 Ethernet to SPI converter [29], using the Mono-camera of MobilEye mounted behind the windshield to provide relative measurements (distance, angle and relative speed) [7] and equipping with a WLANp MK5 OBU module from Cohda Wireless [8], [32].…”

Section: A Devices and Sensors Used In Previous Experimentsmentioning

confidence: 99%

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A Deep Review and Analysis of Data Exchange in Vehicle-to-Vehicle Communications Systems: Coherent Taxonomy, Challenges, Motivations, Recommendations, Substantial Analysis and Future Directions

et al. 2019

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Data exchange in Vehicle-to-vehicle (V2V) communications systems is a field that requires automated solutions, tools and methods and the capability to facilitate early detection and even a prediction. Many studies have focused on V2V system and its classification to improve road safety, reduce traffic congestion and help streamline the vehicle flow on the road. This study aims to review and analyse literature related to data exchange in V2V communications systems. The factors considered to improve the understanding of the field's various contextual aspects were derived from published studies. We systematically searched all articles about the classification and detection of data exchange in vehicles, as well as their evaluation. Three main databases, namely, ScienceDirect, Web of Science and IEEE Xplore from 2008 to 2018, were used. These indices were considered sufficiently extensive to encompass our literature. On the basis of our inclusion and exclusion criteria, 140 articles were selected. Most articles (53/140) are studies conducted in a V2V communication system; a number of papers (51/140) covered the actual attempts to develop V2V communications; and few papers (18/140) comprised framework proposals and architectures. The last portion (18/140) of articles presented review and survey articles. V2V collision avoidance system, which is a field requiring automated solutions, tools and methods, entails the capability to facilitate early detection. Several studies have been performed on the automatic detection of V2V and their subtypes to promote accurate detection. The basic characteristics of this emerging field are identified from the aspects of motivations, open challenges that impede the technology's utility, authors' recommendations and substantial analysis of the previous studies are discussed based on seven aspect (devices, number of scenario, test location, types of sensors, number of vehicle, evaluation techniques used and types of software). A propose research methodology as new direction is provided to solve the gaps identified in the analysis. This methodology consists of four phases; investigation, develop a hardware system, study and analysis, and evaluation phases. However, research areas on V2V communication with the scope of data exchange are varied. This systematic review is expected to open opportunities for researchers and encourage them to work on the identified gaps.

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Section: ) Developmentmentioning

confidence: 99%

Section: ) Benefits Related To V2v Interoperabilitymentioning

confidence: 99%

Section: ) Concerns On Mobility and Reliabilitymentioning

confidence: 99%

Section: A Devices and Sensors Used In Previous Experimentsmentioning

confidence: 99%

See 2 more Smart Citations

A Deep Review and Analysis of Data Exchange in Vehicle-to-Vehicle Communications Systems: Coherent Taxonomy, Challenges, Motivations, Recommendations, Substantial Analysis and Future Directions

et al. 2019

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“…about the trade-off between comfort and energy cost [59] and the use of IoT devices [57]. Other settings, in which the agent faces many different opponents, include self-driving vehicles, where vehicle-to-vehicle and vehicle-to-infrastructure negotiation will play an important role by, e.g., negotiating priority at intersections [71].…”

Section: Long-term Perspectivementioning

confidence: 99%

Computers That Negotiate on Our Behalf: Major Challenges for Self-sufficient, Self-directed, and Interdependent Negotiating Agents

Baarslag

Kaisers

Gerding

et al. 2017

Autonomous Agents and Multiagent Systems

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Abstract.Computers that negotiate on our behalf hold great promise for the future and will even become indispensable in emerging application domains such as the smart grid, autonomous driving, and the Internet of Things. Much research has thus been expended to create agents that are able to negotiate in an abundance of circumstances. However, up until now, truly autonomous negotiators have rarely been deployed in realworld applications. This paper sizes up current negotiating agents and explores a number of technological, societal and ethical challenges that autonomous negotiation systems are bringing about. The questions we address are: in what sense are these systems autonomous, what has been holding back their further proliferation, and is their spread something we should encourage? We relate the automated negotiation research agenda to dimensions of autonomy and distill three major themes that we believe will propel autonomous negotiation forward: accurate representation, long-term perspective, and user trust. We argue these orthogonal research directions need to be aligned and advanced in unison to sustain tangible progress in the field.

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