This paper introduces a method to extract driving behaviors from a human expert driver
which are applied to an autonomous agent to reproduce proactive driving behaviors. Deep …

Accurate probabilistic prediction for intention and motion of road users is a key prerequisite
to achieve safe and high-quality decision-making and motion planning for autonomous …

This paper presents a model for safe driving at blind intersections and its integration to a
local planner based on a Frenet frame. The model predicts potential moving obstacles from …

In an environment where robots coexist with humans, mobile robots should be human-
aware and comply with humans' behavioural norms so as to not disturb humans' personal …

One of the primary functions of millimeter-wave automotive radar is collision avoidance. This
application is typically realized in line-of-sight conditions. However, it does not perform well …

A common approach used for planning blind intersection crossings is to assume that
hypothetical vehicles are approaching the intersection at a constant speed from the …

In this paper we present a work on encoding, clustering and modeling expert driver
behaviors to be reproduced by an autonomous driving car agent. We collected speed …

Co-working and interaction of automated systems and humans in a warehouse is a
significant challenge of progressing industrial systems' autonomy. Especially, blind corners …

This paper presents an approach for predictive driving when facing blind intersections
based on expert data. Expert drivers anticipate and avoid potential dangerous situations. In …

Driver reaction is of vital importance in risk scenarios. Drivers can take correct evasive
maneuver at proper cushion time to avoid the potential traffic crashes, but this reaction …