Motion Prediction Influence on the Pedestrian Intention Estimation Near a Zebra Crossing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F18%3A00325554" target="_blank" >RIV/68407700:21730/18:00325554 - isvavai.cz</a>
Result on the web
<a href="https://www.researchgate.net/publication/324255800_Motion_Prediction_Influence_on_the_Pedestrian_Intention_Estimation_Near_a_Zebra_Crossing" target="_blank" >https://www.researchgate.net/publication/324255800_Motion_Prediction_Influence_on_the_Pedestrian_Intention_Estimation_Near_a_Zebra_Crossing</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0006694403410348" target="_blank" >10.5220/0006694403410348</a>
Alternative languages
Result language
angličtina
Original language name
Motion Prediction Influence on the Pedestrian Intention Estimation Near a Zebra Crossing
Original language description
The reported work contributes to the self-driving car efforts, more specifically to scenario understanding from the ego-car point of view. We focus on estimating the intentions of pedestrians near a zebra crossing. First, we predict the future motion of detected pedestrians in a three seconds time horizon. Second, we estimate the intention of each pedestrian to cross the street using a Bayesian network. Results indicate, that the dependence between the error rate of motion prediction and the intention estimation is sub-linear. Thus, despite the lower performance of motion prediction for the time scope larger than one second, the intention estimation remains relatively stable.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems
ISBN
978-989-758-293-6
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
341-348
Publisher name
SciTePress - Science and Technology Publications
Place of publication
Porto
Event location
Funchal, Madeira
Event date
Mar 16, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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