Threat assessment techniques in intelligent vehicles: A comparative survey
Threat assessment evaluates the situational criticality and helps guarantee the driving safety
of intelligent vehicles. Many critical metrics have been proposed for threat assessment, and …
of intelligent vehicles. Many critical metrics have been proposed for threat assessment, and …
A dynamic Bayesian network for vehicle maneuver prediction in highway driving scenarios: Framework and verification
J Li, B Dai, X Li, X Xu, D Liu - Electronics, 2019 - mdpi.com
Accurate maneuver prediction for surrounding vehicles enables intelligent vehicles to make
safe and socially compliant decisions in advance, thus improving the safety and comfort of …
safe and socially compliant decisions in advance, thus improving the safety and comfort of …
An efficient driver behavioral pattern analysis based on fuzzy logical feature selection and classification in big data analysis
In recent years, driver behavior analysis plays a vital role to enhance passenger coverage
and management resources in the smart transportation system. The real-world environment …
and management resources in the smart transportation system. The real-world environment …
From data to actions in intelligent transportation systems: A prescription of functional requirements for model actionability
Advances in Data Science permeate every field of Transportation Science and Engineering,
resulting in developments in the transportation sector that are data-driven. Nowadays …
resulting in developments in the transportation sector that are data-driven. Nowadays …
Online vehicle trajectory prediction using policy anticipation network and optimization-based context reasoning
In this paper, we present an online two-level vehicle trajectory prediction framework for
urban autonomous driving where there are complex contextual factors, such as lane …
urban autonomous driving where there are complex contextual factors, such as lane …
Prediction performance of lane changing behaviors: a study of combining environmental and eye-tracking data in a driving simulator
Q Deng, J Wang, K Hillebrand… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Advanced Driver Assistance Systems (ADAS) are systems developed to assist the human
driver and therefore to make driving safer and better. Understanding and predicting human …
driver and therefore to make driving safer and better. Understanding and predicting human …
Deep neural networks for Markovian interactive scene prediction in highway scenarios
In this paper, we compare different deep neural network approaches for motion prediction
within a highway entrance scenario. The focus of our work lies on models that operate on …
within a highway entrance scenario. The focus of our work lies on models that operate on …
Multivariate analysis of car-following behavior data using a coupled hidden Markov model
Accurate analysis of driving behavior data is important for improving traffic operations and
for automakers to design safe and effective Advanced Driver Assistance System (ADAS) …
for automakers to design safe and effective Advanced Driver Assistance System (ADAS) …
Graph-based interaction-aware multimodal 2D vehicle trajectory prediction using diffusion graph convolutional networks
Predicting vehicle trajectories is crucial to ensuring automated vehicle operation efficiency
and safety, particularly on congested multi-lane highways. In such dynamic environments, a …
and safety, particularly on congested multi-lane highways. In such dynamic environments, a …
A deep learning framework for modelling left-turning vehicle behaviour considering diagonal-crossing motorcycle conflicts at mixed-flow intersections
With heterogeneous traffic agents moving at unprotected phase, severe crossing conflicts
are witnessed at mixed-flow intersections, especially when left-turning vehicles are …
are witnessed at mixed-flow intersections, especially when left-turning vehicles are …