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Measuring, modeling and simulating the re-adaptation process of the human visual system after short-time glares in traffic scenarios [electronic resource]

Measuring, modeling and simulating the re-adaptation process of the human visual system after short-time glares in traffic scenarios [electronic resource]

자료유형
E-Book(소장)
개인저자
Meyer, Benjamin.
서명 / 저자사항
Measuring, modeling and simulating the re-adaptation process of the human visual system after short-time glares in traffic scenarios [electronic resource] / Benjamin Meyer.
발행사항
Wiesbaden :   Springer,   c2017.  
형태사항
1 online resource. (xv, 126 p.) : ill. (some col.).
총서사항
AutoUni – Schriftenreihe ;89
ISBN
9783658147037 9783658147044 (eBook)
요약
Benjamin Meyer performs several psycho-physical experiments to measure the re-adaptation process of glared drivers in traffic scenarios. The author then develops a novel tone mapping algorithm to simulate the recurring contrast perception of the human eye by adjusting the displayed contrast. Depending on background illumination, bright light sources cause considerable perception restrictions for a glared viewer and can deter the driver from perceiving critical objects for several seconds and severely increase the risk of accidents. Based on the results of the conducted user studies, this vision impairment is integrated into a night driving simulator. The modified driving simulation provides a more realistic visualization and enables the analysis of critical traffic scenarios including short-time headlight glares. This leads to better transferability of driving simulator results and enables investigating driving behavior in the presence of glare. Contents Measuring Contrast Perception User Studies and Field Test Modeling, Simulation, and Evaluation Target Groups Researchers, Students, and Practitioners in the Field of Computer Science, Computer Graphics, Cognitive Psychology and Automotive Engineering About the Author Dr. Benjamin Meyer studied computer science from 2003 to 2008 with specialization in computer graphics. After his graduation, he worked five years as a research associate at a computer graphics lab, where this thesis was developed as a joint work with a major German car manufacturer.
일반주기
Title from e-Book title page.  
내용주기
Measuring Contrast Perception -- User Studies and Field Test -- Modeling, Simulation, and Evaluation.
서지주기
Includes bibliographical references.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Vision -- Research. Headlight glare. Motor vehicle drivers. Adaptation, Ocular.
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URL
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100 1 ▼a Meyer, Benjamin.
245 1 0 ▼a Measuring, modeling and simulating the re-adaptation process of the human visual system after short-time glares in traffic scenarios ▼h [electronic resource] / ▼c Benjamin Meyer.
260 ▼a Wiesbaden : ▼b Springer, ▼c c2017.
300 ▼a 1 online resource. (xv, 126 p.) : ▼b ill. (some col.).
490 1 ▼a AutoUni – Schriftenreihe ; ▼v 89
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references.
505 0 ▼a Measuring Contrast Perception -- User Studies and Field Test -- Modeling, Simulation, and Evaluation.
520 ▼a Benjamin Meyer performs several psycho-physical experiments to measure the re-adaptation process of glared drivers in traffic scenarios. The author then develops a novel tone mapping algorithm to simulate the recurring contrast perception of the human eye by adjusting the displayed contrast. Depending on background illumination, bright light sources cause considerable perception restrictions for a glared viewer and can deter the driver from perceiving critical objects for several seconds and severely increase the risk of accidents. Based on the results of the conducted user studies, this vision impairment is integrated into a night driving simulator. The modified driving simulation provides a more realistic visualization and enables the analysis of critical traffic scenarios including short-time headlight glares. This leads to better transferability of driving simulator results and enables investigating driving behavior in the presence of glare. Contents Measuring Contrast Perception User Studies and Field Test Modeling, Simulation, and Evaluation Target Groups Researchers, Students, and Practitioners in the Field of Computer Science, Computer Graphics, Cognitive Psychology and Automotive Engineering About the Author Dr. Benjamin Meyer studied computer science from 2003 to 2008 with specialization in computer graphics. After his graduation, he worked five years as a research associate at a computer graphics lab, where this thesis was developed as a joint work with a major German car manufacturer.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Vision -- Research.
650 0 ▼a Headlight glare.
650 0 ▼a Motor vehicle drivers.
650 0 ▼a Adaptation, Ocular.
830 0 ▼a AutoUni – Schriftenreihe ; ▼v 89.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=https://doi.org/10.1007/978-3-658-14704-4
945 ▼a KLPA
991 ▼a E-Book(소장)

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 612.84 등록번호 E14014262 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

컨텐츠정보

목차

Intro -- Contents -- Contributions of the Author -- Abstract -- Zusammenfassung -- 1 Introduction -- 1.1 Glare in Road Traffic -- 1.2 Motivation and Task Definition -- 2 Theoretical Background -- 2.1 Light Perception -- 2.1.1 Characteristics of Light -- 2.1.2 The Human Eye -- 2.1.3 Brightness Adaptation -- 2.2 Contrast Perception -- 2.3 Difference Disability Glare - Discomfort Glare -- 2.4 Photometric Terms -- 2.4.1 Luminous Flux -- 2.4.2 Luminosity -- 2.4.3 Luminance -- 2.4.4 Illuminance -- 2.5 Display Hardware -- 2.5.1 Liquid Crystal Displays -- 2.5.2 Digital Light Processing -- 2.5.3 Liquid Crystal on Silicon -- 2.5.4 High Dynamic Range -- 3 Related Work -- 3.1 Two different Approaches -- 3.1.1 Glare Effects Simulated in Hardware -- 3.1.2 Glare Effects Simulated in Software -- 3.1.3 Comparison -- 3.2 Computer Graphics -- 3.2.1 Tone Mapping -- 3.2.2 Rendering glare sources -- 3.3 Cognitive Psychology -- 3.3.1 Fully Adapted Contrast Perception -- 3.3.2 Impact of Glare -- 4 User Study: Varying the Glare Duration and Intensity -- 4.1 Preliminary Considerations and Expectations -- 4.1.1 Design of the TVI-Test -- 4.1.2 Test Cases -- 4.1.3 Glare Parameters -- 4.1.4 Avoidance Behavior -- 4.1.5 Simplifications -- 4.1.6 Glare Source -- 4.1.7 Expectations -- 4.2 Method -- 4.2.1 Test Design -- 4.2.2 Execution -- 4.3 Results -- 4.4 Discussion -- 5 User Study: Varying the Ambient Illumination -- 5.1 Theoretical Background and Expectations -- 5.1.1 Test Cases -- 5.1.2 Glare Parameters -- 5.1.3 Simplifications -- 5.1.4 Expectations -- 5.2 Method -- 5.2.1 Test Design -- 5.2.2 Execution -- 5.3 Results -- 5.4 Discussion -- 6 Field Test: Validating the User Study Measurements -- 6.1 Preliminary Considerations and Expectations -- 6.1.1 Simplifications -- 6.1.2 Parameters -- 6.1.3 Expectations -- 6.2 Method -- 6.2.1 Test Design -- 6.2.2 Execution -- 6.3 Results -- 6.4 Discussion -- 7 Modeling and Implementation -- 7.1 Modeling -- 7.1.1 Generalization of the Measured Values -- 7.1.2 Extrapolation -- 7.2 Implementation -- 7.2.1 Concept -- 7.2.2 Virtual Test Drive -- 7.2.3 VTD Post-Processing and Results -- 7.3 High Dynamic Range Displays -- 7.3.1 Display Control -- 8 User Study: Evaluating the Simulation -- 8.1 Preliminary Considerations and Expectations -- 8.1.1 Fundamental Questions -- 8.1.2 Conceptual Design -- 8.1.3 Glare Parameters -- 8.1.4 Simplifications -- 8.1.5 Expectations -- 8.2 Method -- 8.2.1 Test Design -- 8.2.2 Execution -- 8.3 Results -- 8.4 Discussion -- 9 Final Results and Discussion -- 9.1 Conclusion -- 9.2 Discussion and Future Work -- Bibliography -- .

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