Artificial potential fields and optimal controllers are two common methods for path planning
of autonomous vehicles. An artificial potential field method is capable of assigning different …

This paper proposes AV-FUZZER, a testing framework, to find the safety violations of an
autonomous vehicle (AV) in the presence of an evolving traffic environment. We perturb the …

Traffic congestion on motorways is a serious threat for the economic and social life of
modern society as well as for the environment, which calls for drastic and radical solutions …

The safety and resilience of fully autonomous vehicles (AVs) are of significant concern, as
exemplified by several headline-making accidents. While AV development today involves …

In order to safely navigate highly dynamic scenarios, automated vehicles must be able to
react quickly to changes in the environment and be able to understand trade-offs between …

In this work, the problem of path planning for an autonomous vehicle that moves on a
freeway is considered. The most common approaches that are used to address this problem …

Collision avoidance maneuvers using braking and steering provide opportunities to avoid a
collision at higher velocities compared to braking or steering only. This work investigates …

Ensuring the safety of autonomous vehicles (AVs) is critical for their mass deployment and
public adoption. However, security attacks that violate safety constraints and cause …

In order to enable automated driving systems on the road, several key challenges need to
be solved. One of these issues is real-time maneuver decision and trajectory planning. This …

The accurate estimation of the State of Charge (SOC) and an acceptable prediction of the
Remaining Useful Life (RUL) of batteries in autonomous vehicles are essential for safe and …