2nd Workshop on the Challenge Of Out Of Label Hazards In Autonomous Driving

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F08997187%3A_____%2F25%3AN0000003" target="_blank" >RIV/08997187:_____/25:N0000003 - isvavai.cz</a>
Result on the web
<a href="https://2coool.net/" target="_blank" >https://2coool.net/</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
2nd Workshop on the Challenge Of Out Of Label Hazards In Autonomous Driving
Original language description
In recent years, the field of autonomous vehicles has rapidly expanded, driven by advancements in AI, machine learning, and sensor technologies that promise to enhance safety, reduce traffic accidents, and improve mobility. From a safety perspective, avoiding hazards is essential for a robust system, and there is room for further improvement. A robust autonomous vehicle system should be able to identify and appropriately respond to unexpected or previously unseen hazards to avoid accidents. In this workshop, we encourage researchers to address the limitations of current approaches to hazard avoidance on the road by proposing new algorithms and systems that advance the field, particularly through solutions inspired by novelty-adjacent areas such as Anomaly Detection, Open-Set Recognition, Open Vocabulary, and Domain Adaptation.
Czech name
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Czech description
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Type
W - Workshop organization
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
<a href="/en/project/TM05000009" target="_blank" >TM05000009: Secured information for CCAM operation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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