… A different behavior can be wrongly interpreted by other … In this paper, we propose a behavior
cloning concept for … , we produce safe human-like behavior which is transparent to humans …

… The methods presented in this paper are usually referred as behavior cloning methods in
the literature as they transform the driving task into a supervised learning problem. In the past, …

… The existing behavioral clone based models can be generalized into various types of …
behavioral cloning algorithms in the domain shift scenarios, we present a novel behavioral cloning …

… Behavior cloning and data-driven learning-based models provide promising directions for …
explicit behavior cloning strategies, we propose a method based on implicit behavior cloning …

… Behavioural Cloning does away with the problem of long transit as the deterministic … This
paper aims to introduce a learning approach to behavioural cloning using a variant of the Long…

… Here, cloning means that our learning program will copy and clone human behavior such
as our steering actions to mimic human driving. We will implement a behavior cloning project …

… of the “generator function to load data in memory” will help to extend the current training
process into using giant data sets (100’s of GB) which is a necessity for putting “behavior cloning…

… of human behavior for achieving proper behavior cloning and to … for cloning human behavior
in a Cooperative Automated … To what degree we should integrate behavior cloning into …

… While we focus on learning only the longitudinal control for automated driving, there is a
large body of research that considers learning high-level behavior for automated vehicles via IL […

… This work highlighted the limited capabilities of behavioral cloning to handle complex urban
scenarios. [16] trained a ConvNet to predict divergences between model predictions and …