TY - JOUR
T1 - Contextual Awareness in Human-Advanced-Vehicle Systems
T2 - A Survey
AU - Fernandez-Rojas, Raul
AU - Perry, Anthony
AU - Singh, Hemant
AU - Campbell, Benjamin
AU - Elsayed, Saber
AU - Hunjet, Robert
AU - Abbass, Hussein A.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Autonomous vehicles are becoming a reality in places with advanced infrastructure to support their operations. In crowded places, harsh environments, missions that require these vehicles to be aware of the context in which they are operating, and situations requiring continuous coordination with humans such as in disaster relief, advanced-vehicle systems (AVSs) need to be better contextually aware. The vast literature referring to 'context-aware systems' is still sparse, focusing on very limited forms of contextual awareness. It requires a structured approach to bring it together to truly realize contextual awareness in AVSs. This paper uses a human-AVSs (HAVSs) lens to polarize the literature in a coherent form suitable for designing distributed HAVSs. We group the relevant literature into two categories: contextual-awareness related to the vehicle infrastructure itself that enables AVSs to operate, and contextual-awareness related to HAVSs. The former category focuses on the communication backbone for AVSs including ad-hoc networks, services, wireless communication, radio systems, and the cyber security and privacy challenges that arise in these contexts. The latter category covers recommender systems, which are used to coordinate the actions that sit at the interface of the human and AVSs, human-machine interaction issues, and the activity recognition systems as the enabling technology for recommender systems to operate autonomously. The structured analysis of the literature has identified a number of open research questions and opportunities for further research in this area.
AB - Autonomous vehicles are becoming a reality in places with advanced infrastructure to support their operations. In crowded places, harsh environments, missions that require these vehicles to be aware of the context in which they are operating, and situations requiring continuous coordination with humans such as in disaster relief, advanced-vehicle systems (AVSs) need to be better contextually aware. The vast literature referring to 'context-aware systems' is still sparse, focusing on very limited forms of contextual awareness. It requires a structured approach to bring it together to truly realize contextual awareness in AVSs. This paper uses a human-AVSs (HAVSs) lens to polarize the literature in a coherent form suitable for designing distributed HAVSs. We group the relevant literature into two categories: contextual-awareness related to the vehicle infrastructure itself that enables AVSs to operate, and contextual-awareness related to HAVSs. The former category focuses on the communication backbone for AVSs including ad-hoc networks, services, wireless communication, radio systems, and the cyber security and privacy challenges that arise in these contexts. The latter category covers recommender systems, which are used to coordinate the actions that sit at the interface of the human and AVSs, human-machine interaction issues, and the activity recognition systems as the enabling technology for recommender systems to operate autonomously. The structured analysis of the literature has identified a number of open research questions and opportunities for further research in this area.
KW - activity recognition
KW - ad-hoc networks
KW - advanced vehicle systems
KW - cognitive radios
KW - Contextual awareness
KW - cyber security
KW - human-computer interaction
KW - knowledge management
KW - machine learning
KW - privacy
KW - radio communication
KW - recommender systems
KW - wireless communication
UR - http://www.scopus.com/inward/record.url?scp=85063864528&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/c1386853-7d5b-301c-b483-e80ea6ed6780/
U2 - 10.1109/ACCESS.2019.2902812
DO - 10.1109/ACCESS.2019.2902812
M3 - Review article
AN - SCOPUS:85063864528
SN - 2169-3536
VL - 7
SP - 33304
EP - 33328
JO - IEEE Access
JF - IEEE Access
M1 - 8658079
ER -