48 citations · 49 across the 3 of their papers we have counts for
4 papers
Domain-Adapted Pre-trained Language Models for Implicit Information Extraction in Crash Narratives
Xixi Wang, Jordanka Kovaceva, Miguel Costa +3
Free-text crash narratives recorded in real-world crash databases have been shown to play a significant role in improving traffic safety. However, large-scale analyses remain diffi…
Plugging Schema Graph into Multi-Table QA: A Human-Guided Framework for Reducing LLM Reliance
Xixi Wang, Miguel Costa, Jordanka Kovaceva +2
Large language models (LLMs) have shown promise in table Question Answering (Table QA). However, extending these capabilities to multi-table QA remains challenging due to unreliabl…
Critical Zones for Comfortable Collision Avoidance with a Leading Vehicle
Jordanka Kovaceva, Nikolce Murgovski, Balázs Kulcsár +2
This paper provides a general framework for efficiently obtaining the appropriate intervention time for collision avoidance systems to just avoid a rear-end crash. The proposed fra…
Safety benefit assessment of autonomous emergency braking and steering systems for the protection of cyclists and pedestrians based on a combination of computer simulation and real-world test results
Jordanka Kovaceva, András Bálint, Ron Schindler +1
Cyclists and pedestrians account for a significant share of fatalities and serious injuries in the road transport system. In order to protect them, advanced driver assistance syste…