Anticipating the motion of other road users is crucial for automated dri...
A CF explainer identifies the minimum modifications in the input that wo...
Accurate trajectory prediction of nearby vehicles is crucial for the saf...
Deep Reinforcement Learning (DRL) has demonstrated promising capability ...
Predicting the behaviour (i.e. manoeuvre/trajectory) of other road users...
In this paper, we consider a Cox point process driven by the Manhattan
P...
We compute the expected number of cars that have at least one two-hop pa...
Ultra-dense networks maximise spatial spectral efficiency through spatia...
The meta distribution of the signal-to-interference-ratio (SIR) is an
im...
In this paper we analyze synthetic mobility traces generated for three-l...
Even though many point processes have been scrutinized to describe the u...
We consider a one-dimensional vehicular network where the time headway (...
Interference statistics in vehicular networks have long been studied usi...