… survey research on self-driving cars published in the literature focusing on autonomous cars
… The architecture of the autonomy system of self-driving cars is typically organized into the …

… for self-driving cars. On this basis, we focus exclusively on the applications of deep learning
for self-driving cars. Other relevant surveys in the field of deep learning and self-driving cars …

… is discussed in Section 4; A practical case-study of comparison between two most popular
Self-Driving Cars by Waymo (formerly Google Self-Driving Car Project) and Tesla Motors in …

… The questionnaire also included the following short description of a self-driving car: “For
the purpose of this study, we define self-driving cars as those in which operation of the vehicle …

… the real attacks already happened in self-driving cars. To bridge this research gap, in …
self-driving cars and extensively present potential cyber-attacks and their impacts on those cars …

… and data-driven cars. In this article, we aim to bridge the gap between deep learning …
self-driving cars through a comprehensive survey. We begin with an introduction to self-driving cars, …

… Abstract—Rigorous and comprehensive testing plays a key role in training self-driving cars
… art simulators for end to end testing of self-driving cars for the reasons mentioned in this paper…

… Based on an online survey (N = 3040), this study explores the expected consequences of
automated driving in the Danish population. Participants were divided into three …

… a self-driving system. Understanding a situation is an important factor for any self-driving …
In this paper, we analyze the different models for semantic segmentation for self-driving cars …

Scenario generation is one of the essential steps in scenario-based testing and, therefore, a
significant part of the verification and validation of driver assistance functions and …