Along with the fast evolution of deep neural networks, the hardware syst...
The recently proposed segment anything model (SAM) has made a significan...
There is extensive literature on perceiving road structures by fusing va...
Fast and accurate depth estimation, or stereo matching, is essential in
...
It is critical to predict the motion of surrounding vehicles for self-dr...
Decision-making in dense traffic scenarios is challenging for automated
...
Planning safe trajectories for autonomous vehicles in complex urban
envi...
Trajectory replanning for quadrotors is essential to enable fully autono...
We focus on a replanning scenario for quadrotors where considering time
...
Anticipating possible behaviors of traffic participants is an essential
...
In this paper, we present an online two-level vehicle trajectory predict...
Recently, physical layer (PHY) caching has been proposed to exploit the
...