Review and perspectives on driver digital twin and its enabling technologies for intelligent vehicles
Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …
and transportation systems to digitize and synergize connected automated vehicles …
A survey on motion prediction and risk assessment for intelligent vehicles
With the objective to improve road safety, the automotive industry is moving toward more
“intelligent” vehicles. One of the major challenges is to detect dangerous situations and react …
“intelligent” vehicles. One of the major challenges is to detect dangerous situations and react …
Anticipating accidents in dashcam videos
Abstract We propose a Dynamic-Spatial-Attention (DSA) Recurrent Neural Network (RNN)
for anticipating accidents in dashcam videos (Fig. 1). Our DSA-RNN learns to (1) distribute …
for anticipating accidents in dashcam videos (Fig. 1). Our DSA-RNN learns to (1) distribute …
State estimation and motion prediction of vehicles and vulnerable road users for cooperative autonomous driving: A survey
The recent progress in autonomous vehicle research and development has led to
increasingly widespread testing of fully autonomous vehicles on public roads, where …
increasingly widespread testing of fully autonomous vehicles on public roads, where …
Driver lane change intention inference for intelligent vehicles: Framework, survey, and challenges
Intelligent vehicles and advanced driver assistance systems (ADAS) need to have proper
awareness of the traffic context, as well as the driver status since ADAS share the vehicle …
awareness of the traffic context, as well as the driver status since ADAS share the vehicle …
Looking at humans in the age of self-driving and highly automated vehicles
E Ohn-Bar, MM Trivedi - IEEE Transactions on Intelligent …, 2016 - ieeexplore.ieee.org
This paper highlights the role of humans in the next generation of driver assistance and
intelligent vehicles. Understanding, modeling, and predicting human agents are discussed …
intelligent vehicles. Understanding, modeling, and predicting human agents are discussed …
Car that knows before you do: Anticipating maneuvers via learning temporal driving models
A Jain, HS Koppula, B Raghavan… - Proceedings of the …, 2015 - openaccess.thecvf.com
Abstract Advanced Driver Assistance Systems (ADAS) have made driving safer over the last
decade. They prepare vehicles for unsafe road conditions and alert drivers if they perform a …
decade. They prepare vehicles for unsafe road conditions and alert drivers if they perform a …
Probabilistic prediction of vehicle semantic intention and motion
Accurately predicting the possible behaviors of traffic participants is an essential capability
for future autonomous vehicles. The majority of current researches fix the number of driving …
for future autonomous vehicles. The majority of current researches fix the number of driving …
Human-lead-platooning cooperative adaptive cruise control
Y Zhang, Z Wu, Y Zhang, Z Shang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In this study, a Human-Lead-Platoon CACC ((HLP-CACC) controller is proposed for
connected and automated vehicles to “include” human drivers in platooning process. The …
connected and automated vehicles to “include” human drivers in platooning process. The …
Looking at intersections: a survey of intersection monitoring, behavior and safety analysis of recent studies
MS Shirazi, BT Morris - IEEE Transactions on Intelligent …, 2016 - ieeexplore.ieee.org
Intersections are known for their integral and complex nature due to a variety of the
participants' behaviors and interactions. This paper presents a review of recent studies on …
participants' behaviors and interactions. This paper presents a review of recent studies on …