Agent-based driver abnormality estimation

Tony Poitschke; Florian Laquai; Gerhard Rigoll

doi:10.1007/978-3-642-02580-8_21

Agent-based driver abnormality estimation

Tony Poitschke, Florian Laquai, Gerhard Rigoll

Chair of Human-Machine Communication

Technical University of Munich

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

Abstract

For enhancing current driver assistance and information systems with regard to the capability to recognize an individual driver's needs, we conceive a system based on fuzzy logic and a multi-agent-framework. We investigate how it is possible to gain useful information about the driver from typical vehicle data and apply the knowledge on our system. In a pre-stage, the system learns the driver's regular steering manner with the help of fuzzy inference models. By comparing his regular and current manner, the system recognizes whether the driver is possibly impaired and betakes in a risky situation. Furthermore, the steering behavior and traffical situation are continuously observed for similar pattern. According to the obtained information, the system tries to conform its assistance functionalities to the driver's needs.

Original language	English
Title of host publication	Human-Computer Interaction
Subtitle of host publication	Ambient, Ubiquitous and Intelligent Interaction - 13th International Conference, HCI International 2009, Proceedings
Pages	189-198
Number of pages	10
Edition	PART 3
DOIs	https://doi.org/10.1007/978-3-642-02580-8_21
State	Published - 2009
Event	13th International Conference on Human-Computer Interaction, HCI International 2009 - San Diego, CA, United States Duration: 19 Jul 2009 → 24 Jul 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 3
Volume	5612 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th International Conference on Human-Computer Interaction, HCI International 2009
Country/Territory	United States
City	San Diego, CA
Period	19/07/09 → 24/07/09

Access to Document

10.1007/978-3-642-02580-8_21

Cite this

Poitschke, T., Laquai, F., & Rigoll, G. (2009). Agent-based driver abnormality estimation. In Human-Computer Interaction: Ambient, Ubiquitous and Intelligent Interaction - 13th International Conference, HCI International 2009, Proceedings (PART 3 ed., pp. 189-198). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5612 LNCS, No. PART 3). https://doi.org/10.1007/978-3-642-02580-8_21

Poitschke, Tony ; Laquai, Florian ; Rigoll, Gerhard. / Agent-based driver abnormality estimation. Human-Computer Interaction: Ambient, Ubiquitous and Intelligent Interaction - 13th International Conference, HCI International 2009, Proceedings. PART 3. ed. 2009. pp. 189-198 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).

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title = "Agent-based driver abnormality estimation",

abstract = "For enhancing current driver assistance and information systems with regard to the capability to recognize an individual driver's needs, we conceive a system based on fuzzy logic and a multi-agent-framework. We investigate how it is possible to gain useful information about the driver from typical vehicle data and apply the knowledge on our system. In a pre-stage, the system learns the driver's regular steering manner with the help of fuzzy inference models. By comparing his regular and current manner, the system recognizes whether the driver is possibly impaired and betakes in a risky situation. Furthermore, the steering behavior and traffical situation are continuously observed for similar pattern. According to the obtained information, the system tries to conform its assistance functionalities to the driver's needs.",

author = "Tony Poitschke and Florian Laquai and Gerhard Rigoll",

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Poitschke, T, Laquai, F & Rigoll, G 2009, Agent-based driver abnormality estimation. in Human-Computer Interaction: Ambient, Ubiquitous and Intelligent Interaction - 13th International Conference, HCI International 2009, Proceedings. PART 3 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 5612 LNCS, pp. 189-198, 13th International Conference on Human-Computer Interaction, HCI International 2009, San Diego, CA, United States, 19/07/09. https://doi.org/10.1007/978-3-642-02580-8_21

Agent-based driver abnormality estimation. / Poitschke, Tony; Laquai, Florian; Rigoll, Gerhard.
Human-Computer Interaction: Ambient, Ubiquitous and Intelligent Interaction - 13th International Conference, HCI International 2009, Proceedings. PART 3. ed. 2009. p. 189-198 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5612 LNCS, No. PART 3).

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

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AB - For enhancing current driver assistance and information systems with regard to the capability to recognize an individual driver's needs, we conceive a system based on fuzzy logic and a multi-agent-framework. We investigate how it is possible to gain useful information about the driver from typical vehicle data and apply the knowledge on our system. In a pre-stage, the system learns the driver's regular steering manner with the help of fuzzy inference models. By comparing his regular and current manner, the system recognizes whether the driver is possibly impaired and betakes in a risky situation. Furthermore, the steering behavior and traffical situation are continuously observed for similar pattern. According to the obtained information, the system tries to conform its assistance functionalities to the driver's needs.

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Poitschke T, Laquai F, Rigoll G. Agent-based driver abnormality estimation. In Human-Computer Interaction: Ambient, Ubiquitous and Intelligent Interaction - 13th International Conference, HCI International 2009, Proceedings. PART 3 ed. 2009. p. 189-198. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). doi: 10.1007/978-3-642-02580-8_21

Agent-based driver abnormality estimation

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