A survey on data-driven scenario generation for automated vehicle testing
Automated driving is a promising tool for reducing traffic accidents. While some companies
claim that many cutting-edge automated driving functions have been developed, how to …
claim that many cutting-edge automated driving functions have been developed, how to …
Advances and applications of computer vision techniques in vehicle trajectory generation and surrogate traffic safety indicators
Abstract The application of Computer Vision (CV) techniques massively stimulates
microscopic traffic safety analysis from the perspective of traffic conflicts and near misses …
microscopic traffic safety analysis from the perspective of traffic conflicts and near misses …
A proactive crash risk prediction framework for lane-changing behavior incorporating individual driving styles
Y Zhang, Y Chen, X Gu, NN Sze, J Huang - Accident Analysis & Prevention, 2023 - Elsevier
Driving style may have an important effect on traffic safety. Proactive crash risk prediction for
lane-changing behaviors incorporating individual driving styles can help drivers make safe …
lane-changing behaviors incorporating individual driving styles can help drivers make safe …
I-24 MOTION: An instrument for freeway traffic science
Abstract The Interstate-24 MObility Technology Interstate Observation Network (I-24
MOTION) is a new instrument for traffic science located near Nashville, Tennessee. I-24 …
MOTION) is a new instrument for traffic science located near Nashville, Tennessee. I-24 …
On the road with gpt-4v (ision): Early explorations of visual-language model on autonomous driving
The pursuit of autonomous driving technology hinges on the sophisticated integration of
perception, decision-making, and control systems. Traditional approaches, both data-driven …
perception, decision-making, and control systems. Traditional approaches, both data-driven …
A vectorized representation model for trajectory prediction of intelligent vehicles in challenging scenarios
Trajectory prediction for challenging scenarios has always been a significant problem in the
field due to the complexity of dynamic scenarios and interactions. Furthermore, there is often …
field due to the complexity of dynamic scenarios and interactions. Furthermore, there is often …
Towards next generation of pedestrian and connected vehicle in-the-loop research: A digital twin co-simulation framework
Digital Twin is an emerging technology that replicates real-world entities into a digital space.
It has attracted increasing attention in the transportation field and many researchers are …
It has attracted increasing attention in the transportation field and many researchers are …
A review of driving style recognition methods from short-term and long-term perspectives
Driving style recognition provides an effective way to understand human driving behaviors
and thereby plays an important role in the automotive sector. However, most works fail to …
and thereby plays an important role in the automotive sector. However, most works fail to …
Enhanced index of risk assessment of lane change on expressway weaving segments: A case study of an expressway in China
Vehicles frequently change lanes at weaving segments, and there is a high probability of
collision. To assess the risk of lane change, this study proposes a novel lane change risk …
collision. To assess the risk of lane change, this study proposes a novel lane change risk …
UAVM'23: 2023 Workshop on UAVs in Multimedia: Capturing the World from a New Perspective
Unmanned Aerial Vehicles (UAVs), also known as drones, have become increasingly
popular in recent years due to their ability to capture high-quality multimedia data from the …
popular in recent years due to their ability to capture high-quality multimedia data from the …