Method for detecting and confirming critical driving situations

The method involves monitoring an object i.e. preceding vehicle, in front of a vehicle by independent sensing units (10-1-10k) attached to the vehicle. Signals supplied by the sensing units are provided as sensor signals (f1-fk) in form of a discrete probability density function of a physical measur...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Nunn, Christian Markus, Görmer, Steffen, Meuter, Mirko Nicolas, Müller, Dennis
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Nunn, Christian Markus
Görmer, Steffen
Meuter, Mirko Nicolas
Müller, Dennis
description The method involves monitoring an object i.e. preceding vehicle, in front of a vehicle by independent sensing units (10-1-10k) attached to the vehicle. Signals supplied by the sensing units are provided as sensor signals (f1-fk) in form of a discrete probability density function of a physical measured variable i.e. time span, over a defined interval. The sensor signals are combined in form of probability density function of an end signal (fz) with the measured variable. Final rating of an actual driving condition is conducted based on the combined end signal by a learning classifier (12). The learning classifier is used as an artificial neural network or a support vector machine. Independent claims are also included for the following: (1) a computer program comprising a program code for executing a method for detection and confirmation of critical driving conditions (2) a computer program product comprising a program code for executing a method for detection and confirmation of critical driving conditions (3) a device for detection and confirmation of critical driving conditions.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_EP2549294B8</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EP2549294B8</sourcerecordid><originalsourceid>FETCH-epo_espacenet_EP2549294B83</originalsourceid><addsrcrecordid>eNrjZLD3TS3JyE9RSMsvUkhJLUlNLsnMS1dIzEtRSM7PS8ssygVxk4sySzKTE3MUUooyy0ACxZklpYklmfl5xTwMrGmJOcWpvFCam0HBzTXE2UM3tSA_PrW4IDE5NS-1JN41wMjUxNLI0sTJwpgIJQBZGDET</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Method for detecting and confirming critical driving situations</title><source>esp@cenet</source><creator>Nunn, Christian Markus ; Görmer, Steffen ; Meuter, Mirko Nicolas ; Müller, Dennis</creator><creatorcontrib>Nunn, Christian Markus ; Görmer, Steffen ; Meuter, Mirko Nicolas ; Müller, Dennis</creatorcontrib><description>The method involves monitoring an object i.e. preceding vehicle, in front of a vehicle by independent sensing units (10-1-10k) attached to the vehicle. Signals supplied by the sensing units are provided as sensor signals (f1-fk) in form of a discrete probability density function of a physical measured variable i.e. time span, over a defined interval. The sensor signals are combined in form of probability density function of an end signal (fz) with the measured variable. Final rating of an actual driving condition is conducted based on the combined end signal by a learning classifier (12). The learning classifier is used as an artificial neural network or a support vector machine. Independent claims are also included for the following: (1) a computer program comprising a program code for executing a method for detection and confirmation of critical driving conditions (2) a computer program product comprising a program code for executing a method for detection and confirmation of critical driving conditions (3) a device for detection and confirmation of critical driving conditions.</description><language>eng ; fre ; ger</language><subject>ANALOGOUS ARRANGEMENTS USING OTHER WAVES ; CALCULATING ; COMPUTING ; COUNTING ; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES ; MEASURING ; PHYSICS ; RADIO DIRECTION-FINDING ; RADIO NAVIGATION ; TESTING</subject><creationdate>2019</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20191002&amp;DB=EPODOC&amp;CC=EP&amp;NR=2549294B8$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20191002&amp;DB=EPODOC&amp;CC=EP&amp;NR=2549294B8$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Nunn, Christian Markus</creatorcontrib><creatorcontrib>Görmer, Steffen</creatorcontrib><creatorcontrib>Meuter, Mirko Nicolas</creatorcontrib><creatorcontrib>Müller, Dennis</creatorcontrib><title>Method for detecting and confirming critical driving situations</title><description>The method involves monitoring an object i.e. preceding vehicle, in front of a vehicle by independent sensing units (10-1-10k) attached to the vehicle. Signals supplied by the sensing units are provided as sensor signals (f1-fk) in form of a discrete probability density function of a physical measured variable i.e. time span, over a defined interval. The sensor signals are combined in form of probability density function of an end signal (fz) with the measured variable. Final rating of an actual driving condition is conducted based on the combined end signal by a learning classifier (12). The learning classifier is used as an artificial neural network or a support vector machine. Independent claims are also included for the following: (1) a computer program comprising a program code for executing a method for detection and confirmation of critical driving conditions (2) a computer program product comprising a program code for executing a method for detection and confirmation of critical driving conditions (3) a device for detection and confirmation of critical driving conditions.</description><subject>ANALOGOUS ARRANGEMENTS USING OTHER WAVES</subject><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES</subject><subject>MEASURING</subject><subject>PHYSICS</subject><subject>RADIO DIRECTION-FINDING</subject><subject>RADIO NAVIGATION</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2019</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLD3TS3JyE9RSMsvUkhJLUlNLsnMS1dIzEtRSM7PS8ssygVxk4sySzKTE3MUUooyy0ACxZklpYklmfl5xTwMrGmJOcWpvFCam0HBzTXE2UM3tSA_PrW4IDE5NS-1JN41wMjUxNLI0sTJwpgIJQBZGDET</recordid><startdate>20191002</startdate><enddate>20191002</enddate><creator>Nunn, Christian Markus</creator><creator>Görmer, Steffen</creator><creator>Meuter, Mirko Nicolas</creator><creator>Müller, Dennis</creator><scope>EVB</scope></search><sort><creationdate>20191002</creationdate><title>Method for detecting and confirming critical driving situations</title><author>Nunn, Christian Markus ; Görmer, Steffen ; Meuter, Mirko Nicolas ; Müller, Dennis</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_EP2549294B83</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre ; ger</language><creationdate>2019</creationdate><topic>ANALOGOUS ARRANGEMENTS USING OTHER WAVES</topic><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES</topic><topic>MEASURING</topic><topic>PHYSICS</topic><topic>RADIO DIRECTION-FINDING</topic><topic>RADIO NAVIGATION</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>Nunn, Christian Markus</creatorcontrib><creatorcontrib>Görmer, Steffen</creatorcontrib><creatorcontrib>Meuter, Mirko Nicolas</creatorcontrib><creatorcontrib>Müller, Dennis</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Nunn, Christian Markus</au><au>Görmer, Steffen</au><au>Meuter, Mirko Nicolas</au><au>Müller, Dennis</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method for detecting and confirming critical driving situations</title><date>2019-10-02</date><risdate>2019</risdate><abstract>The method involves monitoring an object i.e. preceding vehicle, in front of a vehicle by independent sensing units (10-1-10k) attached to the vehicle. Signals supplied by the sensing units are provided as sensor signals (f1-fk) in form of a discrete probability density function of a physical measured variable i.e. time span, over a defined interval. The sensor signals are combined in form of probability density function of an end signal (fz) with the measured variable. Final rating of an actual driving condition is conducted based on the combined end signal by a learning classifier (12). The learning classifier is used as an artificial neural network or a support vector machine. Independent claims are also included for the following: (1) a computer program comprising a program code for executing a method for detection and confirmation of critical driving conditions (2) a computer program product comprising a program code for executing a method for detection and confirmation of critical driving conditions (3) a device for detection and confirmation of critical driving conditions.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng ; fre ; ger
recordid cdi_epo_espacenet_EP2549294B8
source esp@cenet
subjects ANALOGOUS ARRANGEMENTS USING OTHER WAVES
CALCULATING
COMPUTING
COUNTING
DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES
MEASURING
PHYSICS
RADIO DIRECTION-FINDING
RADIO NAVIGATION
TESTING
title Method for detecting and confirming critical driving situations
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T02%3A16%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=Nunn,%20Christian%20Markus&rft.date=2019-10-02&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EEP2549294B8%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true