We address the problem of ego-vehicle navigation in dense simulated traffic environments
populated by road agents with varying driver behaviors. Navigation in such environments is …

Driving in a complex urban environment is a difficult task that requires a complex decision
policy. In order to make informed decisions, one needs to gain an understanding of the long …

Driving in a complex and dynamic urban environment is a difficult task that requires a
complex decision policy. In order to make informed decisions, one needs to gain an …

With the advent of autonomous vehicles, sensors and algorithm testing have become crucial
parts of the autonomous vehicle development cycle. Having access to real-world sensors …

The safety of single-vehicle autonomous driving technology is limited due to the limits of
perception capability of on-board sensors. In contrast, vehicle-road collaboration technology …

Container resource management is non-trivial over hyperconverged platforms where the
storage is shared among host servers. Therefore, the same backbone network is used by …

This poster characterizes the impact of storage traffic over containerized network workloads
in a shared storage hyperconvergence architecture. We develop CONtrol, a control theoretic …

Decision-making is one of the key challenges blocking full autonomy of automated vehicles.
In highway scenarios, automated vehicles are expected to be aware of their surroundings …