In a mixed-traffic scenario where both autonomous vehicles and human-driving vehicles
exist, a timely prediction of driving intentions of nearby human-driving vehicles is essential …

Vehicle trajectory prediction is a crucial but intricate problem for lateral driving assistance
systems because of driver uncertainty. This article presents a probabilistic vehicle-trajectory …

The application of naturalistic driving data (NDD) has the potential to answer critical
research questions in the area of driving behavior assessment, as well as the impact of …

Timely recognition of driving intention is crucial in the design of a safe and effective driving
assistance system. This study proposes an efficient recognition approach based on …

Identification of driving intentions has increasingly attracted wide attention since it can be a
valuable reference input of vehicle intelligent control systems. In this study, the long short …

Driving intention has been widely used in intelligent driver assistance systems, automated
driving systems, and electric vehicle control strategies. The accuracy, practicality, and …

In this paper, a driver's intention prediction near a road intersection is proposed. Our
approach uses a deep bidirectional Long Short-Term Memory (LSTM) with an attention …

Accurate perception, especially situational awareness, is central to the evolution of
autonomous driving. This necessitates understanding both the traffic conditions and driving …

Advanced Driver Assistance Systems have the potential of making traffic safer, more efficient
and convenient. At urban intersections the conflicting intentions of different traffic participants …

International Journal of Robotics and Automation, Vol. 34, No. 3, 2019 AN INTERACTION-AWARE
PREDICTIVE MOTION PLANNER FOR UNMANNED GROUND VEHICLES IN DYNAMIC …