Entropy in Reaction Space - Upgrade of Time-to-Collision Quantity

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F17%3A00321976" target="_blank" >RIV/68407700:21220/17:00321976 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21260/17:00321976

Výsledek na webu

<a href="https://saemobilus.sae.org/content/2017-01-0113" target="_blank" >https://saemobilus.sae.org/content/2017-01-0113</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.4271/2017-01-0113" target="_blank" >10.4271/2017-01-0113</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Entropy in Reaction Space - Upgrade of Time-to-Collision Quantity

Popis výsledku v původním jazyce

Today's vehicles are being more often equipped with systems, which are autonomously influencing the vehicle behavior. More systems of the kind and even fully autonomous vehicles in regular traffic are expected by OEMs in Europe around year 2025. Driving is highly multitasking activity and human errors emerge in situations, when he is unable to process and understand the essential amount of information. Future autonomous systems very often rely on some type of inter-vehicular communication. This shall provide the vehicle with higher amount of information, than driver uses in his decision making process. Therefore, currently used 1-D quantity TTC (time-to-collision) will become inadequate. Regardless the vehicle is driven by human or robot, it’s always necessary to know, whether and which reaction is necessary to perform. Adaptable autonomous vehicle systems will need to analyze the driver’s situation awareness level. Such knowledge can be enhanced by 2-D quantity, so called reaction space, and its entropy. The new approach defines a limit space, where ego vehicle or other vehicles can be present in the future specified by an amount of time. This enables the option of counting not only with braking time, but mitigation by changing direction is feasible. Opposed to TTC, considering time as an input is appreciated especially when switching from autonomous to manual driving. For such situation we observe two kinds of reaction spaces – one, connected with the requirements of autopilot, and second, resulting from the expected human reaction. Effects of entropy in 2-D reaction space are presented in the paper.

Název v anglickém jazyce

Entropy in Reaction Space - Upgrade of Time-to-Collision Quantity

Popis výsledku anglicky

Today's vehicles are being more often equipped with systems, which are autonomously influencing the vehicle behavior. More systems of the kind and even fully autonomous vehicles in regular traffic are expected by OEMs in Europe around year 2025. Driving is highly multitasking activity and human errors emerge in situations, when he is unable to process and understand the essential amount of information. Future autonomous systems very often rely on some type of inter-vehicular communication. This shall provide the vehicle with higher amount of information, than driver uses in his decision making process. Therefore, currently used 1-D quantity TTC (time-to-collision) will become inadequate. Regardless the vehicle is driven by human or robot, it’s always necessary to know, whether and which reaction is necessary to perform. Adaptable autonomous vehicle systems will need to analyze the driver’s situation awareness level. Such knowledge can be enhanced by 2-D quantity, so called reaction space, and its entropy. The new approach defines a limit space, where ego vehicle or other vehicles can be present in the future specified by an amount of time. This enables the option of counting not only with braking time, but mitigation by changing direction is feasible. Opposed to TTC, considering time as an input is appreciated especially when switching from autonomous to manual driving. For such situation we observe two kinds of reaction spaces – one, connected with the requirements of autopilot, and second, resulting from the expected human reaction. Effects of entropy in 2-D reaction space are presented in the paper.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

—

OECD FORD obor

21100 - Other engineering and technologies

Projekt

<a href="/cs/project/TE01020020" target="_blank" >TE01020020: Centrum kompetence automobilového průmyslu Josefa Božka</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Society of Automotive Engineers Technical Paper Series

ISSN

0148-7191

e-ISSN

0148-7191

Svazek periodika

2017

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

6

Strana od-do

—

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85018437113