Dynamic Driving Simulators View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2015-04-14

AUTHORS

Hans-Peter Schöner , Bernhard Morys

ABSTRACT

Depending on the application, different concepts for driving simulators have been realized. A quite common dynamic driving simulator concept for professional applications, i.e., a motion platform consisting of a hexapod based on a linear rail, is explained in detail. Using Daimler’s dynamic simulator as an example, the essential technological components of driving simulators are explained and the potentials and limitations due to the sensitivity of the human vestibular organ are discussed. Reasons for simulator sickness and how to avoid it complete the part on simulator design. A second focus is placed on the design of simulator experiments with test persons. A clear goal of the simulation experiment, a good choice of technical and psychological test design, and knowledge about the behavior of test persons help set up effective driving simulator tests. Driver distraction is an essential feature to simulate the complete scope of real accident situations and to assess the behavior of a representative set of test persons. The factors affecting the validity of simulator experiments compared to real-world experiments are discussed, and some findings on the opportunities and limitations of simulator experiments are presented. More... »

PAGES

1-17

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-09840-1_9-1

DOI

http://dx.doi.org/10.1007/978-3-319-09840-1_9-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1029632528


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/17", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology and Cognitive Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1701", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "RD/FFS,059-X820, Daimler AG", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "RD/FFS,059-X820, Daimler AG"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sch\u00f6ner", 
        "givenName": "Hans-Peter", 
        "id": "sg:person.012274650563.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012274650563.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "RD/FFS,059-X820, Daimler AG", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "RD/FFS,059-X820, Daimler AG"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Morys", 
        "givenName": "Bernhard", 
        "id": "sg:person.013507662665.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013507662665.22"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2015-04-14", 
    "datePublishedReg": "2015-04-14", 
    "description": "Depending on the application, different concepts for driving simulators have been realized. A quite common dynamic driving simulator concept for professional applications, i.e., a motion platform consisting of a hexapod based on a linear rail, is explained in detail. Using Daimler\u2019s dynamic simulator as an example, the essential technological components of driving simulators are explained and the potentials and limitations due to the sensitivity of the human vestibular organ are discussed. Reasons for simulator sickness and how to avoid it complete the part on simulator design. A second focus is placed on the design of simulator experiments with test persons. A clear goal of the simulation experiment, a good choice of technical and psychological test design, and knowledge about the behavior of test persons help set up effective driving simulator tests. Driver distraction is an essential feature to simulate the complete scope of real accident situations and to assess the behavior of a representative set of test persons. The factors affecting the validity of simulator experiments compared to real-world experiments are discussed, and some findings on the opportunities and limitations of simulator experiments are presented.", 
    "editor": [
      {
        "familyName": "Winner", 
        "givenName": "Hermann", 
        "type": "Person"
      }, 
      {
        "familyName": "Hakuli", 
        "givenName": "Stephan", 
        "type": "Person"
      }, 
      {
        "familyName": "Lotz", 
        "givenName": "Felix", 
        "type": "Person"
      }, 
      {
        "familyName": "Singer", 
        "givenName": "Christina", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-319-09840-1_9-1", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-319-09840-1"
      ], 
      "name": "Handbook of Driver Assistance Systems", 
      "type": "Book"
    }, 
    "keywords": [
      "simulator experiment", 
      "real accident situation", 
      "dynamic driving simulator", 
      "driving simulator tests", 
      "driver distraction", 
      "essential technological components", 
      "driving simulator", 
      "simulator sickness", 
      "test persons", 
      "simulator tests", 
      "motion platform", 
      "test design", 
      "human vestibular organs", 
      "clear goals", 
      "second focus", 
      "simulator concept", 
      "complete scope", 
      "persons", 
      "simulator design", 
      "accident situations", 
      "distraction", 
      "real-world experiments", 
      "different concepts", 
      "behavior", 
      "validity", 
      "findings", 
      "professional applications", 
      "concept", 
      "situation", 
      "simulator", 
      "goal", 
      "essential features", 
      "linear rail", 
      "experiments", 
      "limitations", 
      "knowledge", 
      "focus", 
      "design", 
      "test", 
      "sickness", 
      "opportunities", 
      "choice", 
      "factors", 
      "vestibular organs", 
      "dynamic simulator", 
      "reasons", 
      "features", 
      "components", 
      "set", 
      "part", 
      "simulation experiments", 
      "scope", 
      "sensitivity", 
      "technological components", 
      "example", 
      "potential", 
      "representative set", 
      "detail", 
      "applications", 
      "best choice", 
      "platform", 
      "hexapod", 
      "rail", 
      "organs", 
      "Daimler\u2019s dynamic simulator", 
      "psychological test design", 
      "effective driving simulator tests"
    ], 
    "name": "Dynamic Driving Simulators", 
    "pagination": "1-17", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1029632528"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-319-09840-1_9-1"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-319-09840-1_9-1", 
      "https://app.dimensions.ai/details/publication/pub.1029632528"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2021-12-01T20:03", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/chapter/chapter_282.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-319-09840-1_9-1"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-09840-1_9-1'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-09840-1_9-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-09840-1_9-1'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-09840-1_9-1'


 

This table displays all metadata directly associated to this object as RDF triples.

156 TRIPLES      23 PREDICATES      94 URIs      85 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-319-09840-1_9-1 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 anzsrc-for:17
4 anzsrc-for:1701
5 schema:author N1f63f41692ad44ca897fbb17ff031694
6 schema:datePublished 2015-04-14
7 schema:datePublishedReg 2015-04-14
8 schema:description Depending on the application, different concepts for driving simulators have been realized. A quite common dynamic driving simulator concept for professional applications, i.e., a motion platform consisting of a hexapod based on a linear rail, is explained in detail. Using Daimler’s dynamic simulator as an example, the essential technological components of driving simulators are explained and the potentials and limitations due to the sensitivity of the human vestibular organ are discussed. Reasons for simulator sickness and how to avoid it complete the part on simulator design. A second focus is placed on the design of simulator experiments with test persons. A clear goal of the simulation experiment, a good choice of technical and psychological test design, and knowledge about the behavior of test persons help set up effective driving simulator tests. Driver distraction is an essential feature to simulate the complete scope of real accident situations and to assess the behavior of a representative set of test persons. The factors affecting the validity of simulator experiments compared to real-world experiments are discussed, and some findings on the opportunities and limitations of simulator experiments are presented.
9 schema:editor N496d66d3097a42eabf4a0a3f7da17e41
10 schema:genre chapter
11 schema:inLanguage en
12 schema:isAccessibleForFree false
13 schema:isPartOf N353fcded75cd490d977f80d793b13b17
14 schema:keywords Daimler’s dynamic simulator
15 accident situations
16 applications
17 behavior
18 best choice
19 choice
20 clear goals
21 complete scope
22 components
23 concept
24 design
25 detail
26 different concepts
27 distraction
28 driver distraction
29 driving simulator
30 driving simulator tests
31 dynamic driving simulator
32 dynamic simulator
33 effective driving simulator tests
34 essential features
35 essential technological components
36 example
37 experiments
38 factors
39 features
40 findings
41 focus
42 goal
43 hexapod
44 human vestibular organs
45 knowledge
46 limitations
47 linear rail
48 motion platform
49 opportunities
50 organs
51 part
52 persons
53 platform
54 potential
55 professional applications
56 psychological test design
57 rail
58 real accident situation
59 real-world experiments
60 reasons
61 representative set
62 scope
63 second focus
64 sensitivity
65 set
66 sickness
67 simulation experiments
68 simulator
69 simulator concept
70 simulator design
71 simulator experiment
72 simulator sickness
73 simulator tests
74 situation
75 technological components
76 test
77 test design
78 test persons
79 validity
80 vestibular organs
81 schema:name Dynamic Driving Simulators
82 schema:pagination 1-17
83 schema:productId N5896bbc063004e9fbe8879feb19eddf3
84 Na8edb4a79b354f8e9ceadeb7ab653f70
85 schema:publisher N29e4740f66e44518aceffe9f909d215f
86 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029632528
87 https://doi.org/10.1007/978-3-319-09840-1_9-1
88 schema:sdDatePublished 2021-12-01T20:03
89 schema:sdLicense https://scigraph.springernature.com/explorer/license/
90 schema:sdPublisher N780c288f10f144bebcec519bd43cabea
91 schema:url https://doi.org/10.1007/978-3-319-09840-1_9-1
92 sgo:license sg:explorer/license/
93 sgo:sdDataset chapters
94 rdf:type schema:Chapter
95 N09538c0903554e3fb626c072b2748285 rdf:first Nb418492544ed499e84e298ff7a404259
96 rdf:rest rdf:nil
97 N1f63f41692ad44ca897fbb17ff031694 rdf:first sg:person.012274650563.65
98 rdf:rest N8a614f929c29480caa713f82c0d8f51f
99 N29e4740f66e44518aceffe9f909d215f schema:name Springer Nature
100 rdf:type schema:Organisation
101 N353fcded75cd490d977f80d793b13b17 schema:isbn 978-3-319-09840-1
102 schema:name Handbook of Driver Assistance Systems
103 rdf:type schema:Book
104 N496d66d3097a42eabf4a0a3f7da17e41 rdf:first N7c861953dee243a090921d1fbcda8e20
105 rdf:rest N4f61ccb6f5124ddebe386df089746d1a
106 N4f61ccb6f5124ddebe386df089746d1a rdf:first Nf6570f3dae03463aa6d328f6aee86e24
107 rdf:rest Ncc5b92eb1be246689bb1ba52f73f2631
108 N5896bbc063004e9fbe8879feb19eddf3 schema:name dimensions_id
109 schema:value pub.1029632528
110 rdf:type schema:PropertyValue
111 N780c288f10f144bebcec519bd43cabea schema:name Springer Nature - SN SciGraph project
112 rdf:type schema:Organization
113 N7c861953dee243a090921d1fbcda8e20 schema:familyName Winner
114 schema:givenName Hermann
115 rdf:type schema:Person
116 N8a614f929c29480caa713f82c0d8f51f rdf:first sg:person.013507662665.22
117 rdf:rest rdf:nil
118 Na8edb4a79b354f8e9ceadeb7ab653f70 schema:name doi
119 schema:value 10.1007/978-3-319-09840-1_9-1
120 rdf:type schema:PropertyValue
121 Nb418492544ed499e84e298ff7a404259 schema:familyName Singer
122 schema:givenName Christina
123 rdf:type schema:Person
124 Ncc5b92eb1be246689bb1ba52f73f2631 rdf:first Nd657d8b1d6da40f7a0cc7ddd031c1186
125 rdf:rest N09538c0903554e3fb626c072b2748285
126 Nd657d8b1d6da40f7a0cc7ddd031c1186 schema:familyName Lotz
127 schema:givenName Felix
128 rdf:type schema:Person
129 Nf6570f3dae03463aa6d328f6aee86e24 schema:familyName Hakuli
130 schema:givenName Stephan
131 rdf:type schema:Person
132 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
133 schema:name Information and Computing Sciences
134 rdf:type schema:DefinedTerm
135 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
136 schema:name Artificial Intelligence and Image Processing
137 rdf:type schema:DefinedTerm
138 anzsrc-for:17 schema:inDefinedTermSet anzsrc-for:
139 schema:name Psychology and Cognitive Sciences
140 rdf:type schema:DefinedTerm
141 anzsrc-for:1701 schema:inDefinedTermSet anzsrc-for:
142 schema:name Psychology
143 rdf:type schema:DefinedTerm
144 sg:person.012274650563.65 schema:affiliation grid-institutes:None
145 schema:familyName Schöner
146 schema:givenName Hans-Peter
147 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012274650563.65
148 rdf:type schema:Person
149 sg:person.013507662665.22 schema:affiliation grid-institutes:None
150 schema:familyName Morys
151 schema:givenName Bernhard
152 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013507662665.22
153 rdf:type schema:Person
154 grid-institutes:None schema:alternateName RD/FFS,059-X820, Daimler AG
155 schema:name RD/FFS,059-X820, Daimler AG
156 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...