AI for driving simulator vehicles and accident events

Vassilis Charissis; Sachi Arafat; Marianne Patera; Christodoulos Christomanos; Warren Chan

AI for driving simulator vehicles and accident events

Vassilis Charissis, Sachi Arafat, Marianne Patera, Christodoulos Christomanos, Warren Chan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

A synthetic driving simulation environment requires a fleet of intelligent vehicles which can perform manoeuvring decisions in real-time and mingle orderly to form mixed traffic environments. The development of a driving simulator was part of a bigger project that evaluated a prototype Head-Up Display (HUD) interface. We therefore opted for a custom simulator that could effectively adapt to the needs of the given experiment. This paper presents the challenges we encountered during the implementation of realistic artificial intelligence (AI) in the traffic vehicles, which produced the analogous complexity driving events. A discussion follows regarding the design and modelling challenges of the robot drivers involved in the simulated accident scenarios. The paper discusses the outcomes of the user trials, suggests solutions to intriguing problems that derived from the experiment and reveals the phasma of our future work.

Original language	English
Title of host publication	Artificial Intelligence and Applications
Subtitle of host publication	Intelligent Agents and Reasoning
Editors	Vladan Devedžic
Publisher	ACTA Press
Pages	133-138
Number of pages	6
ISBN (Print)	9780889866294
Publication status	Published - 2007

Keywords

artificial intelligence
modelling behaviour
driving simulation
human machine interaction
human computer interaction
head up display
collision avoidance

ASJC Scopus subject areas

Artificial Intelligence
Computer Graphics and Computer-Aided Design
Human-Computer Interaction

Documents and Links

http://dl.acm.org/citation.cfm?id=1295303.1295326

1 Citations
10 Conference contribution

Intelligent collision avoidance and manoeuvring system with the use of augmented reality and artificial intelligence
Bram-Larbi, K. F., Charissis, V., Khan, S., Lagoo, R., Harrison, D. K. & Drikakis, D., 30 Apr 2021, Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC: Proceedings of the 2021 Future of Information and Communication Conference (FICC). Arai, K. (ed.). Springer, Vol. 1. p. 457-469 13 p. (Advances in Intelligent Systems and Computing; vol. 1363).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
File
1 Citation (Scopus)

22 Downloads (Pure)
On the impact of early warning collision avoidance information through prototype head-up display for older drivers
Charissis, V., Vlachos, G. & Arafat, S., 2011, SAE World Congress: Intelligent Vehicle Initiative (IVI) Technology Controls and Navigation Systems, 2011. SAE International, p. 45-52 8 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Early notification warning system for prototype head-up display: development and evaluation of traffic congestion and sharp turn warnings
Charissis, V., Vlachos, G., Chan, W. & Arafat, S., Jun 2010, Proceedings of the SAE 2010 World Congress & Exhibition: Intelligent Vehicle Initiative (IVI) Technology Controls and Navigation Systems, 2010. SAE International, p. 45-52 8 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
67 Downloads (Pure)

Cite this

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title = "AI for driving simulator vehicles and accident events",

abstract = "A synthetic driving simulation environment requires a fleet of intelligent vehicles which can perform manoeuvring decisions in real-time and mingle orderly to form mixed traffic environments. The development of a driving simulator was part of a bigger project that evaluated a prototype Head-Up Display (HUD) interface. We therefore opted for a custom simulator that could effectively adapt to the needs of the given experiment. This paper presents the challenges we encountered during the implementation of realistic artificial intelligence (AI) in the traffic vehicles, which produced the analogous complexity driving events. A discussion follows regarding the design and modelling challenges of the robot drivers involved in the simulated accident scenarios. The paper discusses the outcomes of the user trials, suggests solutions to intriguing problems that derived from the experiment and reveals the phasma of our future work.",

keywords = "artificial intelligence, modelling behaviour, driving simulation, human machine interaction, human computer interaction, head up display, collision avoidance",

author = "Vassilis Charissis and Sachi Arafat and Marianne Patera and Christodoulos Christomanos and Warren Chan",

year = "2007",

language = "English",

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pages = "133--138",

editor = "Vladan Deved{\v z}ic",

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AU - Charissis, Vassilis

AU - Arafat, Sachi

AU - Patera, Marianne

AU - Christomanos, Christodoulos

AU - Chan, Warren

PY - 2007

Y1 - 2007

N2 - A synthetic driving simulation environment requires a fleet of intelligent vehicles which can perform manoeuvring decisions in real-time and mingle orderly to form mixed traffic environments. The development of a driving simulator was part of a bigger project that evaluated a prototype Head-Up Display (HUD) interface. We therefore opted for a custom simulator that could effectively adapt to the needs of the given experiment. This paper presents the challenges we encountered during the implementation of realistic artificial intelligence (AI) in the traffic vehicles, which produced the analogous complexity driving events. A discussion follows regarding the design and modelling challenges of the robot drivers involved in the simulated accident scenarios. The paper discusses the outcomes of the user trials, suggests solutions to intriguing problems that derived from the experiment and reveals the phasma of our future work.

AB - A synthetic driving simulation environment requires a fleet of intelligent vehicles which can perform manoeuvring decisions in real-time and mingle orderly to form mixed traffic environments. The development of a driving simulator was part of a bigger project that evaluated a prototype Head-Up Display (HUD) interface. We therefore opted for a custom simulator that could effectively adapt to the needs of the given experiment. This paper presents the challenges we encountered during the implementation of realistic artificial intelligence (AI) in the traffic vehicles, which produced the analogous complexity driving events. A discussion follows regarding the design and modelling challenges of the robot drivers involved in the simulated accident scenarios. The paper discusses the outcomes of the user trials, suggests solutions to intriguing problems that derived from the experiment and reveals the phasma of our future work.

KW - artificial intelligence

KW - modelling behaviour

KW - driving simulation

KW - human machine interaction

KW - human computer interaction

KW - head up display

KW - collision avoidance

M3 - Conference contribution

SN - 9780889866294

SP - 133

EP - 138

BT - Artificial Intelligence and Applications

A2 - Devedžic, Vladan

PB - ACTA Press

ER -

AI for driving simulator vehicles and accident events

Abstract

Keywords

ASJC Scopus subject areas

Documents and Links

Fingerprint

Research output

Intelligent collision avoidance and manoeuvring system with the use of augmented reality and artificial intelligence

On the impact of early warning collision avoidance information through prototype head-up display for older drivers

Early notification warning system for prototype head-up display: development and evaluation of traffic congestion and sharp turn warnings

Cite this