Trajectory prediction plays a crucial role in the autonomous driving sta...
To make safe transitions from autonomous to manual control, a vehicle mu...
Detecting road traffic signs and accurately determining how they can aff...
Safe path planning in autonomous driving is a complex task due to the
in...
Understanding occupant-vehicle interactions by modeling control transiti...
Accurately predicting the future motion of surrounding vehicles requires...
With increasing automation in passenger vehicles, the study of safe and
...
Predicting a vehicle's trajectory is an essential ability for autonomous...
Predicting the trajectories of surrounding agents is an essential abilit...
For autonomous vehicles to navigate in urban environment, the ability to...
In this paper, we address the problem of forecasting agent trajectories ...
Forecasting long-term human motion is a challenging task due to the
non-...
We address multi-modal trajectory forecasting of agents in unknown scene...
Pedestrians and vehicles often share the road in complex inner city traf...
Continuous estimation the driver's take-over readiness is critical for s...
We investigate methods for the automatic labeling of the taan section, a...
Forecasting the motion of surrounding vehicles is a critical ability for...
To safely and efficiently navigate through complex traffic scenarios,
au...
Reliable prediction of surround vehicle motion is a critical requirement...