[HTML][HTML] Gpt-4 enhanced multimodal grounding for autonomous driving: Leveraging cross-modal attention with large language models
In the field of autonomous vehicles (AVs), accurately discerning commander intent and
executing linguistic commands within a visual context presents a significant challenge. This …
executing linguistic commands within a visual context presents a significant challenge. This …
Bat: Behavior-aware human-like trajectory prediction for autonomous driving
The ability to accurately predict the trajectory of surrounding vehicles is a critical hurdle to
overcome on the journey to fully autonomous vehicles. To address this challenge, we …
overcome on the journey to fully autonomous vehicles. To address this challenge, we …
Human observation-inspired trajectory prediction for autonomous driving in mixed-autonomy traffic environments
In the burgeoning field of autonomous vehicles (AVs), trajectory prediction remains a
formidable challenge, especially in mixed autonomy environments. Traditional approaches …
formidable challenge, especially in mixed autonomy environments. Traditional approaches …
Efficient and robust estimation of single-vehicle crash severity: A mixed logit model with heterogeneity in means and variances
This study delves into the factors that contribute to the severity of single-vehicle crashes,
focusing on enhancing both computational speed and model robustness. Utilizing a mixed …
focusing on enhancing both computational speed and model robustness. Utilizing a mixed …
The local driving safety effect of motorcycle restrictions: Evidence from China
G Zhang, J Lin - Transport policy, 2024 - Elsevier
Motorcycles are a highly unstable element that impacts road traffic safety due to insufficient
safety protection structures and poor maneuverability. The rapid increase in their use has …
safety protection structures and poor maneuverability. The rapid increase in their use has …
Understanding social attitudes towards autonomous driving: a perspective from Chinese citizens
Given the rapid advancement of autonomous driving technology, discerning public
willingness to pay and anticipated driving behavior for autonomous vehicles is crucial for …
willingness to pay and anticipated driving behavior for autonomous vehicles is crucial for …
[HTML][HTML] Predicting Road Traffic Collisions Using a Two-Layer Ensemble Machine Learning Algorithm
Road traffic collisions are among the world's critical issues, causing many casualties,
deaths, and economic losses, with a disproportionate burden falling on developing …
deaths, and economic losses, with a disproportionate burden falling on developing …
When, Where, and What? An Novel Benchmark for Accident Anticipation and Localization with Large Language Models
As autonomous driving systems increasingly become part of daily transportation, the ability
to accurately anticipate and mitigate potential traffic accidents is paramount. Traditional …
to accurately anticipate and mitigate potential traffic accidents is paramount. Traditional …
CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions
Accurately and promptly predicting accidents among surrounding traffic agents from camera
footage is crucial for the safety of autonomous vehicles (AVs). This task presents substantial …
footage is crucial for the safety of autonomous vehicles (AVs). This task presents substantial …
The nonlinear relationship between digital affordances and firm‐level export performance: The moderating role of organizational ambidexterity
A diminished trade cost has been ascribed to the advancement of digital transformation,
particularly digital technologies and platforms. Nevertheless, whether this decline in trade …
particularly digital technologies and platforms. Nevertheless, whether this decline in trade …