Computational intelligence in automotive applications: with 48 tables
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2008
|
| Schriftenreihe: | Studies in computational intelligence
Vol. 132 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Literaturangaben |
| Beschreibung: | XX, 276 S. Ill., graph. Darst. 24 cm |
| ISBN: | 9783540792567 9783540792574 |
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| 245 | 1 | 0 | |a Computational intelligence in automotive applications |b with 48 tables |c Danil Prokhorov (ed.) |
| 264 | 1 | |a Berlin [u.a.] |b Springer |c 2008 | |
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Datensatz im Suchindex
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|---|---|
| adam_text | GESCANNT DURCH CONTENTS LEARNING-BASED DRIVER WORKLOAD ESTIMATION YILU
ZHANG, YURI OWECHKO, AND JING ZHANG 1 1 BACKGROUND 1 2 EXISTING PRACTICE
AND ITS CHALLENGES 3 3 THE PROPOSED APPROACH: LEARNING-BASED DWE 4 3.1
LEARNING-BASED DWE DESIGN PROCESS 4 3.2 BENEFITS OF LEARNING-BASED DWE 5
4 EXPERIMENTAL DATA 0 5 EXPERIMENTAL PROCESS 8 6 EXPERIMENTAL RESULTS 10
6.1 DRIVER-INDEPENDENT TRAINING 11 6.2 DRIVER-DEPENDENT TRAINING 13 6.3
FEATURE COMBINATION 14 7 CONCLUSIONS AND FUTURE WORK 15 REFERENCES 16
VISUAL MONITORING OF DRIVER INATTENTION LUIS M. BERGASA, JESUS NUEVO,
MIGUEL A. SOTELO, RAFAEL BAREA, AND ELENA LOPEZ 19 1 INTRODUCTION 19 2
PREVIOUS WORK 20 3 SYSTEM ARCHITECTURE 21 3.1 IMAGE ACQUISITION SYSTEM
22 3.2 PUPIL DETECTION AND TRACKING 24 3.3 VISUAL BEHAVIORS 26 3.4
DRIVER MONITORING 28 4 EXPERIMENTAL RESULTS 30 4.1 TEST SEQUENCES 30 4.2
PARAMETER MEASUREMENT FOR ONE OF THE TEST SEQUENCES 30 4.3 PARAMETER
PERFORMANCE 31 5 DISCUSSION 33 6 CONCLUSIONS AND FUTURE WORK 35
REFERENCES 36 BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/987971697
DIGITALISIERT DURCH * * * * * * * * * * * * * * * CONTENTS XV 5
CONCLUSIONS 234 REFERENCES 234 INTELLIGENT CONTROL OF MOBILITY SYSTEMS
JAMES ALBUS, ROGER BOSTELMAN, RAJ MADHAVAN, HARRY SCOTT, TONY BARBERA,
SANDOR SZABO, TSAI HONG, TOMMY CHANG, WILL SHACKLEFORD, MICHAEL SHNEIER,
STEPHEN BALAKIRSKY, CRAIG SCHLENOFF, HUI-MIN HUANG, AND FRED PROCTOR 237
1 INTRODUCTION 237 2 AUTONOMOUS ON-ROAD DRIVING 239 2.1 NIST HMMWV
TESTBED 239 2.2 4D/RCS TASK DECOMPOSITION CONTROLLER FOR ON-ROAD DRIVING
241 2.3 LEARNING APPLIED TO GROUND ROBOTS (DARPA LAGR) 255 3 STANDARDS
AND PERFORMANCE MEASUREMENTS 262 3.1 AUTONOMY LEVELS FOR UNMANNED
SYSTEMS (ALFUS) 262 3.2 JOINT ARCHITECTURE FOR UNMANNED SYSTEMS (JAUS)
263 3.3 THE INTELLIGENT SYSTEMS (IS) ONTOLOGY 264 3.4 DOT INTEGRATED
VEHICLE BASED SAFETY SYSTEM (IVBSS) 265 4 TESTBEDS AND FRAMEWORKS 267
4.1 USARSIM/MOAST FRAMEWORK 267 4.2 PREDICTION IN DYNAMIC ENVIRONMENTS
(PRIDE) FRAMEWORK 269 4.3 INDUSTRIAL AUTOMATED GUIDED VEHICLES 270 5
CONCLUSIONS AND CONTINUING WORK 272 REFERENCES 273 INDEX 275
|
| adam_txt |
GESCANNT DURCH CONTENTS LEARNING-BASED DRIVER WORKLOAD ESTIMATION YILU
ZHANG, YURI OWECHKO, AND JING ZHANG 1 1 BACKGROUND 1 2 EXISTING PRACTICE
AND ITS CHALLENGES 3 3 THE PROPOSED APPROACH: LEARNING-BASED DWE 4 3.1
LEARNING-BASED DWE DESIGN PROCESS 4 3.2 BENEFITS OF LEARNING-BASED DWE 5
4 EXPERIMENTAL DATA 0 5 EXPERIMENTAL PROCESS 8 6 EXPERIMENTAL RESULTS 10
6.1 DRIVER-INDEPENDENT TRAINING 11 6.2 DRIVER-DEPENDENT TRAINING 13 6.3
FEATURE COMBINATION 14 7 CONCLUSIONS AND FUTURE WORK 15 REFERENCES 16
VISUAL MONITORING OF DRIVER INATTENTION LUIS M. BERGASA, JESUS NUEVO,
MIGUEL A. SOTELO, RAFAEL BAREA, AND ELENA LOPEZ 19 1 INTRODUCTION 19 2
PREVIOUS WORK 20 3 SYSTEM ARCHITECTURE 21 3.1 IMAGE ACQUISITION SYSTEM
22 3.2 PUPIL DETECTION AND TRACKING 24 3.3 VISUAL BEHAVIORS 26 3.4
DRIVER MONITORING 28 4 EXPERIMENTAL RESULTS 30 4.1 TEST SEQUENCES 30 4.2
PARAMETER MEASUREMENT FOR ONE OF THE TEST SEQUENCES 30 4.3 PARAMETER
PERFORMANCE 31 5 DISCUSSION 33 6 CONCLUSIONS AND FUTURE WORK 35
REFERENCES 36 BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/987971697
DIGITALISIERT DURCH * * * * * * * * * * * * * * * CONTENTS XV 5
CONCLUSIONS 234 REFERENCES 234 INTELLIGENT CONTROL OF MOBILITY SYSTEMS
JAMES ALBUS, ROGER BOSTELMAN, RAJ MADHAVAN, HARRY SCOTT, TONY BARBERA,
SANDOR SZABO, TSAI HONG, TOMMY CHANG, WILL SHACKLEFORD, MICHAEL SHNEIER,
STEPHEN BALAKIRSKY, CRAIG SCHLENOFF, HUI-MIN HUANG, AND FRED PROCTOR 237
1 INTRODUCTION 237 2 AUTONOMOUS ON-ROAD DRIVING 239 2.1 NIST HMMWV
TESTBED 239 2.2 4D/RCS TASK DECOMPOSITION CONTROLLER FOR ON-ROAD DRIVING
241 2.3 LEARNING APPLIED TO GROUND ROBOTS (DARPA LAGR) 255 3 STANDARDS
AND PERFORMANCE MEASUREMENTS 262 3.1 AUTONOMY LEVELS FOR UNMANNED
SYSTEMS (ALFUS) 262 3.2 JOINT ARCHITECTURE FOR UNMANNED SYSTEMS (JAUS)
263 3.3 THE INTELLIGENT SYSTEMS (IS) ONTOLOGY 264 3.4 DOT INTEGRATED
VEHICLE BASED SAFETY SYSTEM (IVBSS) 265 4 TESTBEDS AND FRAMEWORKS 267
4.1 USARSIM/MOAST FRAMEWORK 267 4.2 PREDICTION IN DYNAMIC ENVIRONMENTS
(PRIDE) FRAMEWORK 269 4.3 INDUSTRIAL AUTOMATED GUIDED VEHICLES 270 5
CONCLUSIONS AND CONTINUING WORK 272 REFERENCES 273 INDEX 275 |
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| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 629 - Other branches of engineering |
| dewey-raw | 629.2028563 |
| dewey-search | 629.2028563 |
| dewey-sort | 3629.2028563 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Maschinenbau / Maschinenwesen Verkehr / Transport |
| discipline_str_mv | Maschinenbau / Maschinenwesen Verkehr / Transport |
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| index_date | 2024-07-02T22:21:50Z |
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| isbn | 9783540792567 9783540792574 |
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| series | Studies in computational intelligence |
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| spelling | Computational intelligence in automotive applications with 48 tables Danil Prokhorov (ed.) Berlin [u.a.] Springer 2008 XX, 276 S. Ill., graph. Darst. 24 cm txt rdacontent n rdamedia nc rdacarrier Studies in computational intelligence Vol. 132 Literaturangaben Kraftfahrzeugtechnik (DE-588)4165441-9 gnd rswk-swf Soft Computing (DE-588)4455833-8 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Kraftfahrzeugtechnik (DE-588)4165441-9 s Soft Computing (DE-588)4455833-8 s DE-604 Prokhorov, Danil edt Studies in computational intelligence Vol. 132 (DE-604)BV020822171 132 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016790588&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Computational intelligence in automotive applications with 48 tables Studies in computational intelligence Kraftfahrzeugtechnik (DE-588)4165441-9 gnd Soft Computing (DE-588)4455833-8 gnd |
| subject_GND | (DE-588)4165441-9 (DE-588)4455833-8 (DE-588)4143413-4 |
| title | Computational intelligence in automotive applications with 48 tables |
| title_auth | Computational intelligence in automotive applications with 48 tables |
| title_exact_search | Computational intelligence in automotive applications with 48 tables |
| title_exact_search_txtP | Computational intelligence in automotive applications with 48 tables |
| title_full | Computational intelligence in automotive applications with 48 tables Danil Prokhorov (ed.) |
| title_fullStr | Computational intelligence in automotive applications with 48 tables Danil Prokhorov (ed.) |
| title_full_unstemmed | Computational intelligence in automotive applications with 48 tables Danil Prokhorov (ed.) |
| title_short | Computational intelligence in automotive applications |
| title_sort | computational intelligence in automotive applications with 48 tables |
| title_sub | with 48 tables |
| topic | Kraftfahrzeugtechnik (DE-588)4165441-9 gnd Soft Computing (DE-588)4455833-8 gnd |
| topic_facet | Kraftfahrzeugtechnik Soft Computing Aufsatzsammlung |
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